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""‘ Jodo—' n'kfi" - .‘ -5 5 ‘ U o ‘ '0 0". ' P. 9 - g ' ,"poor C." ‘.“ I- ’ “‘" ._'-- not' ' . . H g a V .,.-~-‘"‘ ' 10.0“. y..'-nvO-..' '1q l.. .0..- . a...‘-“" ‘ . ' ' ‘ ‘ A ‘ . "0..-. ‘1' ”#‘0. F. " '9 0’ -.. ‘.-.v,n- ~:l.”a‘ A- - ' . ‘- n 'l ' | ‘ . - 0111 - - ‘_‘_ JJ_mL_.Mbm—s 'W ' 0' " ' J! m - _ I u- ' .4 . - a r. . - O :4912 g ’ "’" . I».|" A "7;”, N13 3 0 “I 75 mumwmu.1111111111me Illlllullul 3 1293 00590 752 6 LIBRARY Michigan State University This is to certify that the t .csi entitled RhEOLOf‘ aICAL PROPERTIES AND ADHESIOII OF FLOUR—BASED BATTER TO CHICKEN NUGGETS presented by Hsien—Yu Hsia has been accepted towards fulfillment of the requirements for M. 30 degree in 1989 g“ ': Major professor Date 10/20/1989 0-7639 MS U is an Affirmative Action/Equal Opportunity Institution ‘—-—‘_-4 Q ‘m-- _'_"_.fir—_-"n¥'mwwfl .— ——-‘.w “~VM- I?‘ "" PLACE IN RETURN BOX to remove this checkout from your record. TO AVOID FINES roturn on or baton duo duo. ll WEDUE DATE DUE DATE DUE __—_l_____l.—_—__l MSU to An Affirmative Action/Equal Opportunity Institution RHEOLOGICAL PROPERTIES AND ADHESION OF FLOUR-BASED BATTER T0 CHICKEN NUGGETS By Hsien-Yu Hsia A THESIS Submitted to Michigan State University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE Department of Food Science and Human Nutrition 1989 b03bolg ABSTRACT RHEOLOGICAL PROPERTIES AND ADHESION 0F FLOUR-BASED BATTER T0 CHICKEN NUGGETS By Hsien-Yu Hsia Rheological characteristics of chicken batters, containing three hydrocolloids (guar, xanthan, and carboxymethylcellulose (CMC)) at three concentrations (0.25, 0.5, 1.0%) and two solids contents (30%, 40%), were determined using mixer viscometry techniques. Time-dependence, apparent viscosity, shear-thinning behavior and batter recovery were determined. Most batters exhibited thixotropy. Apparent viscosity of the 30% solids batters decreased.with hydrocolloid type: xanthan, guar, CMC, and. the control,respectively. ,Apparent 'viscosity’ of the 40% solids batters was slightly different and decreased.in the order: guar, xanthan, CMC, and. the control, respectively; ,Apparent 'viscosity' and. adhesion increased with an increase in hydrocolloid concentration and batter solids content in the batter. Apparent viscosity was highly correlated to batter adhesion characteristics such as percent coating pickup, percent overall yield, and percent cooking yield. Mixer viscometry techniques can be used to follow changes in batter rheological properties caused by mixing speed and time and to predict the adhesion of batter to chicken nuggets. I sincerely dedicate this thesis to my parents Mr. Si-Long Hsia and Mrs. Chang-Hui Chen Hsia for their invigoration and love iii ACKNOWLEDGMENTS I express my deepest appreciation to my major professor, Dr. D. Smith, for her earnest instruction and support in finishing this research project. I also appreciate the assistance of the committee members guiding this study, Dr. J. F. Steffe, Dr. P. Markakis, and Dr. C. J. Flegal for their advice and inspiration. Thanks are expressed to Dr. C. M. Stine, Dr. J. F. Price, Dr. M. A. Uebersax, and T. T. Forton for their supplying some of the experimental instruments, materials, and space. Special acknowledge is extended to F. A. Osorio, M. E. Castell- Perez, M. S. Yeh, T. C. Wang, S. M. Lai, and T. J. Herald for their expertise and assistance. Appreciation is also extended to Newly Weds Foods Incorporated, Miles Laboratories Incorporated, and TIC Gums Incorporated for supplying some of the experimental materials. Finally, I present my most cordial thanks to my parents for their financial support and invigoration during my master study. I sincerely dedicate this thesis to them. iv TABLE OF CONTENTS LIST OF TABLES .................................................. LIST OF FIGURES ................................................. NOMENCLATURE .................................................... INTRODUCTION .................................................... C. RHEOLOGICAL MEASUREMENTS AND TECHNIQUES ................. l. RHEOLOGICAL CHARACTERISTICS OF FLUID FOODS .......... 2. RHEOLOGICAL BEHAVIOR OF FOODSTUFFS .................. 3. MODELS IN TIME«INDEPENDENT PSEUDOPLASTIC (SHEAR- THINNING) FLUIDS .................................... 4. MODELS FOR TIME-DEPENDENT, THIXOTROPIC FLUIDS ....... 5. RHEOLOGICAL CHARACTERISTICS OF BATTER MIXES ......... 6. RHEOLOGICAL CHARACTERISTICS OF HYDROCOLLOIDS ........ (l) Guar Gum ...................................... (2) Xanthan Gum ................................... (3) Sodium Carboxymethylcellulose (CMC) ........... 7. VISCOMETRIC TECHNIQUES FOR FOODSTUFFS .............. 8. MIXER VISCOMETERY TECHNIQUES FOR FOODSTUFFS ......... D. ADHESION MEASUREMENTS AND TECHNIQUES ................... 1. THEORY FOR THE ADHESION OF BATTER TO POULTRY SKIN ... 2. METHODS T0 MEASURE THE ADHESION OF COATING .......... 3. EFFECT OF POULTRY PROCESSING ON ADHESION OF COATING ............................................. 4. EFFECT OF PREDIPS, COATING COMPOSITION, AND COATING PREPARATION METHODS ON ADHESION OF COATING .......... 5. EFFECT OF COATING TEMPERATURE ON ADHESION OF COATING ............................................. 6. EFFECT OF FRYING MEDIUM, FRYER TEMPERATURE AND HOLDING ON ADHESION OF COATING ...................... 7. EFFECT OF COOKING METHOD ON ADHESION OF COATING ..... D. E. RESULTS A. B. D. E , RHEOLOCICAL MEASUREMENT AND CALCULATION ,,,,,,,,,,,,,,,,, 1. RHEOLOGICAL MEASUREMENT ............................. 2. RHEOLOGICAL CALCULATIONS ............................ (I) Time-Dependency ............................... (2) Apparent Viscosity and Shear-Thinning Behavior ...................................... (3) Determination of Recovery ..................... ADHESION MEASUREMENT AND CALCULATION METHODS ............ STATISTICAL ANALYSIS .................................... TIME-INDEPENDENT APPARENT VISCOSITY OF BATTERS AT EQUILIBRIUM ............................................. 1. TORQUE (M ) vs ANGULAR VELOCITY (O ) ............... . FLOW EEHANIOR INDEX (n ) OF BATTERS ................. . CONSISTENCY COEFFICIENT (K ) OF BATTERS ............. . APPARENT VISCOSITY (p ) OFXBATTERS .................. . RECOVERY OF CHICKEN BATTERS ......................... HESION CHARACTERISTICS OF BATTERS ..................... . ADHESION CHARACTERISTICS OF 30% SOLIDS CHICKEN BATTERS ............................................. 2. ADHESION CHARACTERISTICS OF 40% SOLIDS CHICKEN mums ............................................. 3. COMPARISON OF ADHESION CHARACTERISTICS OF 30% AND 40% SOLIDS BATTERS ...................................... RELATIONSHIP BETWEEN RHEOLOCICAL PROPERTIES AND ADHESION CHARACTERISTICS OF CHICKEN BATTERS ...................... PRACTICAL APPLICATIONS OF THE RESEARCH 2 3 a 5 AD 1 SUMMARY AND CONCLUSIONS ......................................... FUTURE RESEARCH ................................................. REFERENCES ...................................................... APPENDIX ........................................................ vi 51 51 5h 56 59 66 70 70 77 85 85 89 90 92 93 100 Table Table Table Table Table Table Table Table Table Table Table Table Table 10 11 12 13 LIST OF TABLES The market for fresh and processed poultry in the United States for selected years (in millions of dollars) (U.S. Department of Commerce; Business Trade Analysts) ............................................. Fresh and processed poultry expressed as a percentage of manufacturers' sales (U.S. Department of Commerce; Business Trade Analysts) .............................. Data of 1.5% guar gum standard used to evaluate batter consistency coefficients from the MV paddle data (Steffe and Ford, 1985) ............................... Time-dependency data of 30% solids batters containing various hydrocolloids ................................. Time-dependency data of 40% solids batters containing various hydrocolloids ................................. Angular velocity (0 ) vs torque (M ) of 30% solids x x batters ............................................... Angular velocity (0 ) vs torque (Mx) of 40% solids batters containing I% hydrocolloid .................... Power law model parameters of 30% solids control batter and batters containing different concentrations of three hydrocolloids ......................................... Power law model parameters of 40% solids control batter and batters containing 1% of three hydrocolloids ...... Consistency coefficients of 30% solids batters ........ Consistency coefficients of 40% solids batters ........ Recovery of 30% solids control batter and batters containing different hydrocolloids .................... Recovery of 40% solids control batter and batters containing different hydrocolloids .................... vii Page 35 49 SO 52 53 55 55 57 58 68 69 Table Table Table Table Table Table Table Tabel 14 15 16 17 18 19 20 21 Correlation coefficient of apparent viscosity vs adhesion characteristics of 30% solids chicken batters ............................................... Correlation coefficient of apparent viscosity vs adhesion characteristics of 40% solids chicken batters ............................................... Torque vs time of 30% solids batters measured at 70 rpm, 100 C .......................................... Torque vs time of 40% solids batters measured at 70 rpm, 100 C .......................................... Apparent viscosity, pa, of 30% solids chicken batters . Apparent viscosity, pa, of 40% solids chicken batters . Percent crumb loss, percent cooking loss, percent coating pickup, percent overall yield, and percent cooking yield of 30% solids chicken batters ........... Percent crumb loss, percent cooking loss, percent coating pickup, percent overall yield, and percent cooking yield of 40% solids chicken batters ........... viii Page 100 103 104 105 106 107 Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure 10 11 LIST OF FIGURES Transverse section of poultry skin showing the (A) stratum corneum, (B) stratum germinatirum, (C) epidermis, (D) dermis, (E) muscle fibers, and (F) adipose cells. (From Suderman and Cunningham, 1980) ................................................ MV paddle sensor (Steffe and Ford, 1985) ............. Representative plot of torque vs time data collected using Haake RV—12 viscometer ......................... Torque of 30% solids batters with and without guar gum measured at 70 rpm, 100 C ......................... Torque of 30% solids batters with and without xanthan gum measured at 70 rpm, 100 C ........................ Torque of 30% solids batters with and without sodium carboxymethylcellulose(CMC) measured at70 rpm, 100 C . Torque of 40% solids batters with and without 1% hydrocolloid (guar gum, xanthan gum, sodium carboxymethylcellulose (CMC)) measured at 70 rpm, 100 C ................................................ Torque of 30% and 40% solids batters with 1% hydrocolloid (guar gum, xanthan gum, sodium carboxymethylcellulose(CMC)) measured at 70 rpm, 100 C Apparent viscosity vs average shear rate of 30% solids batter containing guar gum .......................... Apparent viscosity vs average shear rate of 30% solids batter containing xanthan gum ........................ Apparent viscosity vs average shear rate of 30% solids batter containing sodium carboxymethylcellulose(CMC) Apparent viscosity vs average shear rate of 40% solids batter containing 1% hydrocolloid (guar gum, xanthan gum, sodium carboxymethylcellulose(CMC)) ............. ix Page 19 30 32 44 45 46 47 48 61 62 63 64 Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure 13 14 15 16 17 18 19 20 21 22 23 Apparent viscosity vs average shear rate of 30% and 40% solids batter containing 1% hydrocolloid (guar gum, xanthan gum, sodium carboxymethylcellulose(CMC)) ..... Percent crumb loss of chicken nuggets prepared with 30% solids batters containing different hydrocolloid . Percent cooking loss of chicken nuggets prepared with 30% solids batters containing different hydrocolloid . Percent coating pickup of chicken nuggets prepared with 30% solids batters containing different hydrocolloid ......................................... Percent overall yield of chicken nuggets prepared with 30% solids batters containing different hydrocolloid ......................................... Percent cooking yield of chicken nuggets prepared with 30% solids batters containing different hydrocolloid ......................................... Percent crumb loss of chicken nuggets propared with 40% solids batters containing different hydrocolloid Percent cooking loss of chicken nuggets prepared with 40% solids batters containing different hydrocolloid Percent coating pickup of chicken nuggets prepared with 40% solids batters containing different hydrocolloid ........................................ Percent overall yield of chicken nuggets prepared with 40% solids batters containing different hydrocolloid ........................................ Percent cooking yield of chicken nuggets prepared with 40% solids batters containing different hydrocolloid ......................................... Page 65 72 73 74 75 76 80 81 82 83 84 CMC kl NOMENCLATURE intercept of torque vs time, N m slope of torque vs time coefficient, N m sn sodium carboxymethylcellulose mixer viscometer constant, l/rad consistency coefficient, dimensionless consistency coefficient of tested fluid, Pa 5 torque, N m mechanically deboned chicken flow behavior index, dimensionless time, min tripolyphosphate test fluid standard fluid shear rate, l/s average shear rate, 1/s shear stress, Pa apparent viscosity, Pa 5 angular velocity, rad/s xi INTRODUCTION The market for poultry products has increased rapidly in the United States. The use of fresh and processed poultry meat has increased in franchise stores, fastfood and other foodservice establishments, and in the home. The market for fresh and processed poultry has increased in the past 10 years and this increase is expected to continue (USDA,1987) (Table 1). Moreover, the sales of further-processed poultry are increasing as a percentage of the total market (Table 2). The total poundage of frozen products using breading increased from 400 million in 1962 to 1960 million in 1980. The total poundage of batter and breading used on frozen products increased from 120 million in 1962 to 580 million in 1980 (Quick Frozen Foods, Nov. 1981). Therefore, the manufacture of batter and breading is a billion-dollar a year industry in the United States. The benefits of batter and breading to poultry products include providing processers with their greateat value-added assessment by increasing yield to reduce the cost, improving sensory and texture characteristics of the food and improving product color for consumer acceptability. Consumers and food processers want batters and breadings that adhere well. Breeding losses which result from less than ideal adhesion are a common problem. Adhesion is the chemical and physical binding of a 1 2 coating with itself and the food product it coats. There are many factors affecting the adhesion of batters and breadings. The addition of various hydrocolloids continues to be an area of investigation. New chicken batters are expected to be developed due to the better adhesive properties of hydrocolloid containing batters. The ideal batter mix should have minimizing time-dependency, since the batter was expected to have stable properties over the time of mixing. For engineering, batter with appropriate recovery was also expected. Recovery was related to the increase of apparent viscosity of batter over the time of mixing, energy cost to restart the machine, and batter texture maintenance. The advantages of using mixer viscometry techniques for measuring batter rheological properties can be categorized as: l. Minimizing loading shear degradation of the material. 2. Eliminating errors due to wall slip effects. 3. Preventing settling of particles in batter suspensions. 4. Minimizing the effect of particles in suspensions, to reduce the experiment error caused by the suspended particles The overall objective of this research was to determine and compare the relationship between adhesion characteristics of batters to chicken nuggets and theologically measured properties of batters of different solids content containing various hydrocolloid types and concentrations. Therefore, the specific objectives of this research were : (1) To evaluate the effect of hydrocolloid type, hydrocolloid concentration and batter solids content on the rheological properties of a batter mix. (2) To evaluate the effect of hydrocolloid type, hydrocolloid concentration and batter solids content on the adhesion of batter mix to chicken nuggets. (3) To determine the relationship between rheological properties and adhesion characteristics of batter mixes. 4 Table 1 The market for fresh and processed poultry in the United States for selected years (in millions of dollars) Fresh poultry Processed poultry 1973 —- 491.5 1977 11,741 6 —— 1980 - 1,125.8 1986 - 2,766.3 1987* 21,073.2 2,996.7 1996** -— 8,718.8 * Estimate ** Projection; percentage increased based on Source : U. S. Department of Commerce; Business Trade Analysts Table 2 Fresh and processed poultry expressed as a percentage of manufacturers' sales Year Unprepared poultry Further-processed poultry 1972 89.6 % 10.4 % 1980 87.0 13.0 1986 77.5 22.5 1987* 77.1 22.9 1996** 72.4 28.6 * Estimate ** Projection Source : U. S. Department of Commerce; Business Trade Analysts LITERATURE REVIEW A. BATTER COMPOSITION Batter may be prepared with a wide variety of ingredients. A dry batter mix is primarily composed of starch and flour (Donahoo,1970). Seasonings, salt, and monosodium glutamate (MSG) are also common ingredients. Batter formulas for food products are mentioned by Hale and Goodwin (1968), Funk et a1. (1971), Heath et a1. (1971), Strommer and Valentas (1976), Schnell (1976), and Kaufman (1977). Ingredients used in batter formulations were categorized into two groups: (1) those such as flour, eggs, and milk, which are widely used and make up the bulk of most formulas, and (2) those such as gums, spices, leavening, salt, and sugar added in relatively small amounts for specific effects (Davis, 1983). Batters are applied to food products for the following functions: appearance (Elston, 1975), taste Characteristics, crispy texture (Zwiercan, 1974; Elston, 1975), color (Libby, 1963; Elston, 1975), nutritional value (Elston, 1975), moisture holding (Dawson et a1., 1962; Libby, 1963; Sison, 1972; Love and Doodwin, 1974), and tenderization (Baker et a1., 1972). B. HYDROCOLLOID COMPOSITION 7 Food hydrocolloids have been developed as stabilizers, emulsifiers, thickeners, suspending agents, bodying agents, or foam enhancers in foods. Guar gum is derived from the seed of the guar plant, Cyamopsis tetragonolobus. It is structurally composed of a straight backbone chain of D-mannopyranose units with a side-branching unit of D-galactopyranose on every other unit. The molecular weight is in the range of 200,000- 300,000. Guar gum is stable over a wide pH range and is compatible with salts over a wide range of electrolyte concentrations, that is, it maintains its viscosity over a wide range of salt concentrations (Goldstein et a1., 1973). Xanthan gum is a biosynthetic heteropolysaccharide produced by bacterial fermentation using Xagthomonas species. The polymer contains D-glucose, D—mannose, and D-glucuronic acid in 3 : 3 : 1 ratio. It also contains about 4.7 % D-acetyl groups and 3.0-3.5 % pyruvic acid. The molecular weight is about 24,000,000. Xanthan gum is stable at pH's between 6 and 9. It is also compatible with many salts (Goldstein et a1., 1973). Carboxymethylcellulose (CMC) is manufactured by reacting sodium monochloroacetate with alkalicellulose. Solutions of CMC maintain viscosity over a wide pH range. CMC is compatible with most water- soluble gums over a wide range of concentrations. Viscosities of CMC solutions decrease with increasing temperature (Batdorf et a1., 1973). C. RHEOLDGICAL MEASUREMENTS AND TECHNIQUES l. RHEOLOGICAL CHARACTERISTICS OF FLUID FOODS Fluid foods exhibit a wide range of rheological behavior due to variations in composition and structure. A Newtonian fluid is a liquid for which a graph of shear stress against shear rate is linear . However, many fluid foods follow non-Newtonian models for which no linear relationship between shear stress and shear rate is found when the rheological properties are characterized. Non-Newtonian fluids may be classified into three groups : (1) Time—independent fluids - the shear rate of the fluid was a function of the shear stress only. (2) Time-dependent fluids —— the shear rate was a function of both the magnitude and the duration of the shear stress. (3) Viscoelastic fluids - an elastic recovery was observed when the shear stress was removed from the material. Time-independent fluids are classified into two groups : (1) Pseudoplastic (shear-thinning) fluids - shear stress (a) decreased with increasing shear rate (Q) in a power law model : a - K Q“ [1] where, a - shear stress, Pa 5 1 - shear rate, 1/s K - consistency index, Pa 3n n - flow behavior index, dimensionless Equation [1] may be expressed as: log 1 - log K + n log (y) [2] where, 0 < n < 1 for shear-thinning fluids. (2) Dilatant (shear-thickening) fluids -— shear stress (1) increased with increasing shear rate (1) in a power law model 1 - K 7“. If 9 for a logarithm power law model logr - log K + n log (7), the slope l < n < w. Time-dependent fluids were classified as ' (1) Thixotropic fluids -— shear stress (1) decreased as time increased at a fixed shear rate. (2) Rheopectic fluids —— shear stress (1) increased as time increased at a fixed shear rate. The percent recovery reflects the time-dependent behavior of the samples. When percent recovery equals 100, there is no time-dependency or complete recovery in the sample. While percent recovery does not equal 100, the sample has irreversible structural breakdown. Yield stress (00) is another important rheological property of some foods. 0 means fluid requires a minimum force to cause flow.A food 0 exhibiting a yield stress retains its shape under gravity. If subjected to a force greater than gravity, the food will flow almost like a liquid. When the force is removed the food retains its shape and ceases to flow. Dynamic measurement refers to an experiment in which either the stress or the strain (and usually both) vary harmonically with time. It is assumed that a shear stress, a - 00 cos wt [3] produced a strain, 1 - 10 cos (wt - 6) [4] The phase lag 6 and the amplitude ratio 70/00 depend on the material and, under linear conditions, can be regarded as material properties. However, both 8 and 10/00 will vary with frequency w. Rheological properties measured dynamically are often expressed by the storage modulus, 10 G' - (00 cos 6) /7O [5] and the loss modulus, I I - ' { 1 G (00 Sln 6) / 70 ,6] (Whorlow, 1979). 2. RHEOLOGICAL BEHAVIOR OF FOODSTUFFS Several researchers have studied the rheological properties of foodstuffs. Foods exhibiting Newtonian behavior include tea, coffee, beer, wine, soda pop, milk, sucrose, corn syrup, honey, and molasses (Matz, 1962, Rao, 1977). Most foods express non-Newtonian behavior, such as pseudoplasticity and thixotropy. Pseudoplasticity has been observed for mayonnaise (Tiu and Boger, 1974), soups and sauces (Wood, 1968), tomato puree (Harper, 1961; Charm, 1962, 1963), and xanthan gum (Rao and Kenny, 1975). Dilatancy has been reported for honey from Eucalyptus ficifolia, Eggglyptgg eugenioides, Eucalyptus orymbosa, and Opuatia eugelmanni (Pryce-Jones, 1953). Thixotropy has been observed for egg white (Tung et a1., 1970), mayonnaise (Tiu and Boger, 1974), and sweetened condensed milk (Higgs and Norrington, 1971). Rheopexy has not been reported in foods. Viscoelastic foods include ice cream (Sherman, 1975), cream (Prentice, 1968, 1972), butter, canned frosting, ketchup, and whipped cream cheese (Bistany and Kokini, 1983). Foods exhibiting a yield stress include chocolate products (Chevalley, 1975; Rostagno, 1974) and hydrocolloids (Balmaceda et a1., 1973). 11 3. MODELS FOR TIME-INDEPENDENT PSEUDOPLASTIC (SHEAR-THINNING) FLUIDS The power law model is widely used for describing time-independent characteristics of pseudoplastic food products (Holdsworth, 1971). It is often extended to include a yield stress term (00) and expressed as a Herschel Bulkley model, as : a - Kyn + 00 [7] Apparent viscosity is defined by : g-r/T m] Therefore, the apparent viscosity (pa) of a pseudoplastic material, derived from Equation [3], is : u, - Kén'l [91 Since the power law does not always fit the experimental data with great accuracy, a few workers have used alternative models, including the Herschel-Bulkley Model (Herschel and Bulkley, 1926), Sisko Model (Sisko, 1958), Casson Model (Casson, 1959), Charm Model (Charm, 1963), Generalized Model (Bird, 1965), Molecular Model (Bird, 1965), Spriggs Truncated Power Law (Bird, 1965), and Sutterby Model (Bird, 1965), and Ofoli model (Ofoli et a1., 1987). The Ofoli model, proposed by Ofoli, Morgan, and Steffe (1987), incorporated many of the above models: rnl - ronl + ”$2 [10] and, n - [ (r0 / é)“1 + u, %“2'“1 1 1”“1 [111 The advantage of this model is its ability to predict flow behavior over many decades of shear. This is used in those processes where wide shear rate ranges are encountered. 12 4. MODELS FOR TIME-DEPENDENT, THIXOTROPIC FLUIDS Time-dependent thixotropy is common in rheological behavior of many foodstuffs. There are several factors affecting the application of time-dependent models, such as temperature, molecular structure changes, time, product formulation, and shear rate. Temperature has important effects on the rheological expression of materials. The Arrhenius equation suggested an equation for correcting the change in viscosity with temperature, as: p _ C e Ea/RT [12] where, C - constant, Pa 5 Ea - activation energy, Kcal/mol R - ideal gas constant, Kca1.mol/°K T - absolute temperature, 0K The molecular characteristics of materials change under high shear rates. The Herschel-Bulkley model erroneously predicts a viscosity decrease to zero at high shear rates if n < 1. Dekee et a1. (1980) suggested an exponential model in which containing parameters may be related to the molecular structure of time-dependent materials. A structural theory originated by Cheng and Evans (1965) and extended by Petrellis and Fulmerfelt (1973) described the time-dependent behavior of shear degradable crude oils. Tiu and Boger (1974) designed a kinetic and rheological model for mayonnaise which included a structural parameter accounting for time-dependent effects. Figoni et a1. (1981) reviewed the characteristics of structure breakdown of foods based on changes in flow properties. Time-dependence was discussed in terms of viscoelasticity and structural changes. The 13 stress decay varied with product formulation and experimental conditions, such as temperature and shear rate. Steffe and Ford (1985) quantified irreversible thixotropy in starch-thickened, strained apricots. A linear regression analysis was employed to determine the slope and intercept of the torque—time equation. Speers and Tung (1986) studied the effect of temperature on the flow behavior of xanthan gum dispersions. The Arrhenius equation was used to examine the effect of temperature on the variation of apparent viscosity. 5. RHEOLOGICAL CHARACTERISTICS OF BATTER MIXES Cunningham and Tiede (1981) studied the influence of batter viscosity on breading of chicken products. They reported that as batter viscosity increased, the amount of breading pickup increased, the cooking loss decreased, and the adhesion of the breading improved. Our experiment expanded Cunningham and Tiede's work. We try to determine the time factor on the influence of batter apparent viscosity, whether adhesion characteristics were correlated to batter apparent viscosity, and the effect of hydrocolloid to the rheological properties and adhesion characteristics of the batter mix. Lane and Abdel-Ghany (1986) examined the relationship between viscosity and pickup (percent coating weight) of a fish and chip batter. They indicated that a statistically significant correlation existed between viscosity, wheat flour protein content, percent pickup, and batter temperature. 6. RHEOLOGICAL CHARACTERISTICS OF HYDROCOLLOIDS 14 (l) Guar Gum Guar gum forms a viscous colloidal dispersion when hydrated in cold water and exhibits a pseudoplastic rheological system. Aqueous systems containing guar gum at very low concentrations have very high Viscosities. Maximum viscosity is achieved at temperatures of 25-400C (Goldstein et a1., 1973). There are numerous studies describing the rheological characteristics of guar gum. Schutz (1970) used the Cross model to characterize different concentrations of guar gum in solutions, as: flo‘flm u-pw+( .) [13] l + ay2/3 where, p - apparent viscosity,Pa s ”o : viscosity at Q - 0, Pa 3 pa : viscosity at Q - m, Pa 3 a : constant Q : shear rate, rad/s Balmaceda et a1. (1973) found that at low shear rate, the Herschel Bulkley model was satisfactory with guar gum solutions. They also reported that at 21 0C, a 0.7 % guar gum solution exhibited dilatancy, but a 1.0 % solution exhibited pseudoplasticity. Doublier and Launay (1974) used the Cross Model to describe guar gum solutions over a wide range of shear rates, concentrations, and temperatures. The power law model was satisfactory only for a 0.19 % guar gum solution. Krumel and Sarkar (1975) reported apparent Viscosities as a function of shear rate in guar gum solutions. Rao and Kenny (1975) found that the power law 15 model was satisfactory at all concentrations of guar gum below 2 %. Rao et al. (1981) reported that prolonged heat treatment of l % guar gum solutions resulted in a permanent loss of viscosity. (2) Xanthan Gum Xanthan gum dissolves in hot or cold water to form viscous, pseudoplastic solutions (Goldstein et a1., 1973). Collins and Dincer (1973) reported that 50 % xanthan gum resulted in thickening of syrups. Rao and Kenny (1975) used the power law model to describe xanthan gum solutions. Whitecomb and Macosko (1978) found that at sufficient dilution and low shear rates, xanthan solutions showed Newtonian viscosity, but more concentrated solutions appeared to have a yield stress. Zatz and Knapp (1984) investigated the effect of salts on xanthan gum solutions. They found that at low shear rates, all exhibited pseudoplasticity. Speers and Tung (1986) studied the effects of temperature and concentration on xanthan gum solutions. All showed pseudoplasticity and were described by a power law model. (3) Sodium Carboxymethylcellulose (CMC) CMC has typical non-Newtonian, pseudoplastic properties in solution (Batdorf et a1., 1973). Balmaceda et a1. (1973) found that at low shear rate, the Herschel Bulkley model described CMC solutions. Krumel and Sarker (1975) reported apparent viscosities as a function of shear rate for solutions of CMC. Rao et a1. (1981) found that prolonged heat treatment of 1 % CMC solutions resulted in a permanent loss of l6 viscosity. 7. VISCOMETRIC TECHNIQUES FOR FOODSTUFFS Rao (1977) reviewed the use of viscometers for studying the rheological behavior of foods. For Newtonian foods, instruments operating at a single shear rate are suitable. Examples include a glass capillary viscometer operated under the force of gravity and a rolling ball viscometer, such as the Hoeppler viscometer (Van Wazer et a1., 1963). For non-Newtonian fluids, Brookfield, capillary, couette, tube, concentric cylinder, cone and plate, and mixer viscometers have been widely used. 8. MIXER VISCOMETER TECHNIQUE FOR FOODSTUFFS RHEOLOGICAL MEASUREMENTS Many foods are suspensions with large particles and may change from a liquid to a semi-solid during processing. Therefore, Voisey and deMan (1970) and Tanaka et al. (1973) employed the mixer viscometer to study the rheological behavior of foods. The major reason to use mixer viscometer technique to mix suspension foods is to avoid the problem of particle settling. Other viscometer, like Brookfield, if it has proper impeller, also could be used to mix suspension foods. Rao (1975) used a mixer viscometer to study the flow properties of selected food suspensions. Using the method developed by Rieger and Novak (1973), a mixer viscometer for power law fluids when an average shear rate is used to estimate viscosity had the relationship of parameters below: l7 1 d3) - log A - (log k') (l-n) [14] log (P / K nn+ where, P = power, N m/s K - consistency index of fluid, dimensionless O - rotational speed, rad/s n - flow behavior index, dimensionless d - diameter of the impeller, m A - constant depending on system geometry, dimensionless k' - mixer viscometer constant, 1/rad For a power law model 7 a M, and y a Q, where M is torque and O is angular velocity; therefore, M - GK 0“ [15] and, log M - log (CK) + n log 0 [16] where, n is the slope of log M vs log 0. By considering the power law model for the test substance, x, and a fluid of known flow properties, y, the shear stress (1) and the shear rate (Q) are directly proportional to the torque (M) and the rotational speed (N), respectively and the only unknown, Kx, can be determined : Mx 7x Kx Nnx knx - ——-—————— - n n [17] M r K N R Y Y y y y Steffe and Ford (1985) evaluated the shelf-stability of starch- thickened, strained apricots with mixer viscometry techniques. The rheological properties were in compliance with the investigation by Rao (1975) and his efforts based on the earlier work of Metzmer and Otto (1957). Ford and Steffe (1986) used mixer viscometry techniques to quantify thixotropy in starch-thickened, strained apricots. The rate of breakdown and equilibrium structure of the product was determined. 18 D. ADHESION MEASUREMENTS AND TECHNIQUES 1. THEORY FOR THE ADHESION OF BATTER TO POULTRY SKIN The structure of poultry skin is important in coating of batters and breadings. Lucas and Stettenheim (1972) described the structure of poultry skin. Skin consists of two layers, the epidermis and the dermis (Figure 1). 19 “.‘." Figure 1 Transverse section of poultry skin showing the (A) Stratum corneum, (B) Stratum germinatirum, (C) epidermis, (D) dermis, (E) muscle fibers, and (F) adipose cells. From Suderman and Cunningham (1980) 20 The cohesion forces between the cuticle (stratum corneum) and the cuticle-stratum germinatirum interface and between cells within the epidermis and dermis play important roles in batter and breading adhesion. The cohesive forces within the epidermis may be a combination of physical, chemical, and electrostatic interactions (Montagna and Lobitz, 1964). The cohesive forces at the epidermal-dermal interface may be physical in nature due to projections of papillae from the dermis into the epidermis (Pinkus and Mehregan, 1969). Poultry skin without the cuticle may have a greater potential for improved batter and breading adhesion, as coating particles may lodge between skin protrusions extending up from the rough surface of stratum germinativum. If the cuticle were interlocked into this surface, the coating would only adhere to the smooth cuticle surface (Suderman and Cunningham, 1980). In addition, the cuticle-stratum germinativum bond is the weakest bond interface within the skin (Montagna and Lobitz, 1964). This could indicate greater potential for coating removal if a stronger bond developed between the coating and cuticle. Secondary binding forces, such as physical, chemical, and electrostatic, also contribute to the total adhesion of coatings to skin (Suderman and Cunningham, 1980). 2. METHODS TO MEASURE THE ADHESION OF COATING A method to measure the adhesion of a coating to a food product was first reported by May et a1. (1969). Breaded and cooked products were weighed, placed in a container with water, agitated with compressed air for about 15 min to remove breadings, then blotted 2 min to remove 21 excess moisture and reweighed to determine the percentage breading. Suderman and Cunningham (1979) developed a quick and accurate method to measure percent breading loss using a standard wire sieve in a portable sieve shaker. This method has been widely used by researchers to study the coating of food products (Suderman and Cunningham, 1981; Proctor and Cunningham, 1983; Corey et a1., 1987). 3. EFFECT OF POULTRY PROCESSING ON ADHESION OF COATING The age of the bird may affect the skin surface, especially the cuticle. Suderman and Cunningham (1980) found that age did not affect poultry ultrastructure noticeably, although there was some decline in the observable cuticle as the birds got older. The influence of skin thickness, which increases with age, was not shown in their research. Proctor and Cunningham (1983) investigated the effect of drumstick weight on the adhesion of coating to poultry products. There was no significant correlation between % coating pickup and original drumstick weight. There were significant relationships between % cooking loss, % crumb loss, % overall yield and drumstick weight. Hale and Mayfield (1976) studied the effects of chilling processed fowl. Suderman and Cunningham (1980) also studied the effects of chilling on poultry skin ultrastructure. They showed that ice slush chilling gave no noticeable differences in coating adhesion to nonchilling. Graf and Stewart (1953) studied the effect of temperature on removal of the epidermis of poultry skin. The birds had a glossy appearance and were slightly sticky after the epidermis was removed by 22 the subscald. Similar research was also reported by Zeigler and Stadelman (1955). Suderman and Cunningham (1980) used scanning electron micrographs to show that less cuticle remained in poultry skin as scald water temperatrue was increased from 54.40 to 65.500. The effect of freezing poultry parts before applying batter and breading has been examined by Suderman and Cunningham (1981). They concluded that freezing poultry parts before breading application may slightly improve coating adhesion. Corey et a1. (1987) reported that freeze-thaw cycles resulted in moisture loss from the breading, but did not influence coating loss. Proctor and Cunningham (1984) found that broiler drumsticks without skin had significantly increased coating pickup and decreased crumb loss over those with the skin intact. Cooking losses were significantly lower for drumsticks coated with the skin on, but the % overall yields were not significantly different. 4. EFFECT OF PREDIPS, COATING COMPOSITION, AND COATING PREPARATION METHODS ON ADHESION OF COATING Suderman and Cunningham (1981) evaluated the effect of predips on batter adhesion. The results showed that the type of predip significantly affected the amount of breading adhering to drumsticks. Seeley (1981) compared various chemical predips and their effects on batter adhesion. The results indicated that CruaforR tripolyphosphate, sodium tripolyphosphate and sodium hexametaphosphate blend, and KenaR all showed significantly less crumb loss as the concentrations of these additives in the solution increased. Citric acid did not significantly 23 affect crumb loss. Hanson and Fletcher (1965) studied the influence of thickening agents, egg content, and solid-water ratio on batter adhesion. They found that increasing the proportion of thickening agent to water increased thickness of the coating. Egg COntent of the batter had little effect on adhesion or appearance of the coating. Increasing amounts of fat in the batter caused greater uptake of the frying fat. Baker et a1. (1972) evaluated the effect of predust materials on adhesion of coating to poultry products. High protein materials produced crusts with better adhesion than starches, and hydrocolloids. Toloday (1975) reported that adhesion of batter and breading to shrimp increased when a vegetable gum premix was substituted for guar gum. Suderman et a1. (1981) determined the effects of protein and gum type and amount on the adhesion of breadings to poultry skin. Among the proteins, gelatin and egg albumen most effectively improved adhesion. Only CMC was significantly better at improving adhesion than guar, tragacanth, and xanthan gum. Increased levels of gums and proteins in the breading did not significantly affect adhesion. The results from our experiment showed that either guar or xanthan gum had better adhesion than CMC. The major reason seemed because they added hydrocolloids to breading, but we added them to batter. Effect of coating preparation methods on yields of chicken coating were studied. Yang and Chen (1979) found that fried chicken prepared with a flour predust-batter-flour method had higher yields than that prepared with the batter-breading method. Nakai and Chen (1986) found the final product yields prepared using the flour predust-batter-flour or batter-breading methods, were higher than those using the breading method or the noncoated controls. 24 5. EFFECT OF COATING TEMPERATURE ON ADHESION OF COATING The effect of poultry part temperature prior to batter and breading on adhesion has been studied by Hale and Goodwin (1968). They reported that cooling poultry parts to 2°C before coating improved the texture of the coating, but did not affect yield. Proctor and Cunningham (1984) found that % coating pickup decreased with temperature in the following order : 23°C > 4°C > 110°C or -15.5°C. Poultry parts coated at -15.50 C had the highest cooking loss. Parts coated at 110°C had the lowest % crumb loss. The % overall yield of drumsticks coated at 23°C and 4°C was higher than at the other temperature. 6. EFFECT OF FRYING MEDIUM, FRYER TEMPERATURE AND HOLDING ON ADHESION OF COATING Yang and Chen (1979) reported that a slightly higher yield was observed for broiler parts fried in solid shortening than for those fried in liquid shortening. Yang and Chen (1979) found that the cooking yields of fried chicken decreased with an increase in frying temperature. Lane et a1. (1982) found that less moisture loss occurred when breaded chicken thighs were fried at 163°C than at two higher frying temperatures of 177 and 191°C. However, percent yield of breaded chicken thighs did not vary with frying temperature. Yang and Chen (1979) reported that under the same holding temperature, the weight loss of fried chicken parts held under heat 25 lamps, was greater than those held in an electric oven. Seeley (1981) observed that coating adhesion improved and less crumb loss was found as the temperature of drumsticks decreased. 7. EFFECT OF COOKING METHOD ON ADHESION OF COATING Mickelberry and Stadelman (1962) listed 5 cooking procedures for poultry products : (1) microwave, (2) deep-fat fryer, (3) deep-fat fryer and microwave, (4) rotary-reel oven, and (5) steam and deep-fat fryer. Baker et a1. (1972) evaluated eight cooking methods. These methods included precooking by : steaming, simmering, boiling, all followed by breading, battering and breading then frying to brown; and breading, battering and breading followed by deep fat frying to doneness. Also included were four methods involving steaming after breading and/or battering and breading. They found that simmering was slightly the best of the precooked method. The most desirable product was made by breading, battering,and breading, frying 20 seconds, steaming until done, than refrying 20 seconds. Seeley (1981) tested 5 methods of cooking : (1) microwave oven, (2) microwave plus browning element, (3) low pressure deep-fat fry, (4) oven-broil, (5) oven bake. Proctor and Cunningham (1983) reported that cooking methods affected cooking losses of chicken products as follows : baked < broiled < microwave heated < panfried < pressurized deepfat fried. Baker et a1. (1986) also studied 4 cooking methods for phosphate dipped broiler breasts, thighs, drums, and wings which were dusted, battered, and breaded, then cooked. Treatments included: (1) full frying (FF), (2) short, deep fat frying, steaming followed by short, deep fat 26 frying (FSF), (3) short, deep fat frying followed by oven-cooking (FOC), and (4) the parts were cooked in water followed by dusting, battering, breading, and short, deep fat frying (WC). Final average yield (final weight / raw weight) for combined parts was highest for pieces cooked by FSF, followed by FOC. MATERIALS AND METHODS A. BATTER PREPARATION The control batter formulation was composed of three equal amounts of modified starch (Fri-BindTM 411, A. E. Staley Manufacturing Company, Decatur, IL), wheat flour (North Dakota Mill, Grand Fords, ND), and yellow corn flour (Lauhoff Grain Company, Danvill, IN). The formula uSed in this study was similar to commercial products. Control batter was prepared using three different hydrocolloids (guar gum, xanthan gum, and sodium carboxymethylcellulose (CMC)) at three different concentrations (0.25 %, 0.5 %, and 1.0 %). Guar gum was provided by TIC gums Incorporated, New York. Xanthan gum was manufactured by Jungbunzlauer Xanthan Gesellschaff M. B. H., Austria, and was distributed by Miles Laboratories Incorporated, Elkhart, IN. CMC was produced by Walocel and was distributed by Miles Laboratories Incorporated, Elkhart, In. Batters containing 30 % and 40 % solids were prepared. Thirty percent solids batters were prepared using all ten batter treatments. Batters containing 40 % solids included the control batter and 1.0 % hydrocolloid treatments. Batter/water mixture was placed into a mixer (Model K5-4, KICChenaid division, Hobart Corporation, Troy, Ohio) and mixed with the 27 28 paddle attachment at the temperature and speed controlled for the time needed. For rheological measurements, batter mixes with a 30% or 40% solid concentration were mixed at speed 2 for 5 min. Batter/water mixes were put in an ice bath to rapidly lower the temperature. For adhesion measurements, batter were mixed for 3 min at speed 1 to reach the same torque condition as in the Haake at 70 rpm after 60 min rotation. During mixing, the batter temperature was kept under 10°C by putting ice on the bottom of the bowl. Moisture was determined in quadruplicate by drying samples in a 130°C forced air oven for 1 hr (AOAC, 1984). B. PREPARATION OF CHICKEN NUGGETS Stewing fowls and mechanically deboned chicken (MDB) packed by Nottwa Gardens Corporation (Athens, MI) were purchased from MSU Food Store. White and dark meat were separated from the bone. Salt was from GarGill Incorporated, Minneapolis, MN. Sodium tripolyphosphate (TPP) was produced by Stauffer Chemical Company, Westport, CT (CURAFOS Formula 11-2). The weight ratio of white meat : dark meat : MDB : salt : water : sodium tripolyphosphate was 45 : 30 : 19 : 0.5 : 5 : 0.5. Both white meat and dark meat were ground through an 0.635 cm plate of a meat grinder (Model KS-A, Kitchenaid Division, Hobart Corporation, Troy, Ohio). Sodium tripolyphosphate was thoroughly mixed with water prior to the addition of salt to the same solution. Ground meat, MDB, salt-TPP- water solution was put into a mixing bowl (Model H-600, Kitchenaid Division, Hobart Corporation, Troy, Ohio) and mixed at speed 1 for 4 min 29 with the paddle attachment. The raw mixture was stuffed into 8.9 cm fibrous casings (Union Carbide Corporation, Chicago, IL) and frozen at - 24°C for 4 hr. The frozen patties were sliced on a meat slicer (Model 512, Hobart Corporation, Troy, Ohio) to prepare nuggets 1.5 cm thick. . - o . Before use, chicken nuggets were tempered at 4 C in a refrigerator. C. RHEOLOGICAL MEASUREMENT AND CALCULATION l. RHEOLOGICAL MEASUREMENT A Haake RV-12 (calibrated by dead weight testing) viscometer with a Haake PG 142 rotational speed controller interfaced to a Hewlett- Packard 85 computer (Hewlett-Parkard Company, Corvallis, OR) was used to measure the rheological properties of the batter. The reason to use mixer viscometry primary is to avoid the settling problem. A Haake F-3C water circulator was used to keep samples at a constant temperature (10°C). Ethylene glycol and water (ratio 1 : l) were used in the water circulator to help control the temperature. Samples were loaded into an MV cup (0.021 m radius) to reach the lower mark on the cup and allowed to stand for several minutes until the thermocouple indicated a constant temperature. The cup was attached to an MV paddle sensor (Fig. 2) which was connected to the viscometer drive head. In 30 % solids batter measurement, an M-150 head was used, whereas, in 40 % solids batter measurement, an M-500 head was used for higher driving power. Torque (N m) versus time (min) data were collected to characterize the rheological properties of batters under conditions of controlled rotational speed at 10°C. 0.127"! V O f I O "I‘ z 0 / .01"! d!) ; ...... 15' patch but 0.02892!!! 1 L %4— 0.00143!!! —-)' Figure 2 MV paddle sensor (Steffe and Ford, 1985) 31 A 70 rpm (revolution per minute) rotational speed was applied for 60 min to measure the time-dependency of the batters since 70 rpm was commonly used in commercial mixer.. Next, the rotational speed was adjusted stepwise to 10 rpm, 30 rpm, 50 rpm, 70 rpm, and 90 rpm for 2.5 min individually to measurethe apparent viscosity of the batters. After this, 70 rpm was applied for 5 min to equilibrate the batter. The batters were then allowed to rest for 30 min. After that, torque versus time data was collected at 70 rpm for 10 min. The recovery of batters was evaluated by comparing the initial torque and the torque after the rest period. All of the batters were tested in triplicate. The testing procedure is briefly illustrated in Figure 3. Torque (N m) s4 t- 0.015 0.012- 0.009-1 0.006- 0.003- 0.000 m ~11 C I I I 0 1'0 2'0 3'0 4'0 5'0 60 70 30 9'0100110120 Time (minute) Figure 3 Representative plot of torque vs. time data collected A-B : B-C : C-D : D-E : E-F : A,F : using Haake RV-12 viscometer Data for evaluating time-dependent thixotropy Changing rotational speed Data for evaluating power law parameter and time-independent apparent viscosity Equilibration at 70 rpm prior to rest period Rest period Data to evaluate recovery 33 2. RHEOLOGICAL CALCULATIONS (1) Time Dependency The batter was mixed for 60 min at 70 rpm (A-B, Fig.3) to evaluate the time-dependency of the materials. After averaging the triplicate torque data, linear regression analysis of torque versus time was calculated as : M - A - B In (t) [18] where, M - torque, N m A intercept, N m B - slope, N m H’ I time, min (2) Apparent Viscosity and Shear Thinning Behavior It was assumed that the time dependency factor was removed by mechanical agitation at 70 rpm for 60 min. Time independency and apparent viscosity were determined from data collected at 10 rpm, 30 rpm, 50 rpm, 70 rpm and 90 rpm for 2.5 min(C-D, Fig.3). Torque at each speed was averaged across the 2.5 min analysis time. In apparent viscosity calculations, power law parameters were determined from a linear regression analysis of the torque versus angular velocity data (Equation [16]) as described by Steffe and Ford (1985). The consistency coefficient was determined from Equation [17]: 34 , n MX (k 0x) y Kx - n K [19} M (k'O ) x y y X Where, x and y were subscripted referring to the batter and a standard solution, respectively. Guar gum (1.5 %) (Table 3) was used as the standard in the calculations and the mixer viscometer constant (k') was 4.46 (Steffe and Ford, 1985). All consistency coefficient values werecalculated using 60 rpm data for the guar gum. 35 Table 3. Data of 1.5 % guar gum standard used to evaluate batter consistency coefficients from the MV paddle data K (Pa 5“) n M (N m) y (aty60 rpm) 30.98 0.158 0.0052 31.65 0.159 0.0054 27.39 0.169 0.0050 Average 30.01 0.162 0.0052 The constants were applied in our experiment to calculate the batter consistency coefficients (Kx) under variable rotational speeds. Therefore, referring to each 0x, we had an Mx’ and there was a Kx for each sample. 36 Using the power law, the apparent viscosity was expressed as ' n-l #a - K (7) 20] r—fl where, “a - apparent viscosity, Pa 5 K = consistency coefficient, Pa sn 7 - shear rate, l/s n - flow behavior index, dimensionless However, for mixer viscometry techniques, the equation was expressed as p - K (k'0)nx'1 [22] a x x where, ”a - apparent viscosity of test fluid, Pa 3 k'flx - 1a - average shear rate, 1/s Rotational speeds (rpm) were converted to angular velocity (0x). Therefore, referring to each 0x, a ”a for each sample was calculated. Triplicate tests of each treatment were averaged to determine apparent viscosity under variable angular velocities. (3) Determination of Recovery The torque after the 30 min rest period divided by the initial torque was defined as the % recovery of the batter. Referring to Fig. 3, the calculation of recovery was expressed as F % recovery - —- x 100 [23] A where, A - initial torque F - torque after 30 minutes rest, N m Results were the average of triplicate tests. 37 D. ADHESION MEASUREMENT AND CALCULATION METHODS Each batter treatment was tested in triplicate. Six chicken nuggets (8.9 cm diameter, 1.5 cm thickness) were used in each replicate. Nuggets tempered to 4°C were weighed, then individually immersed in batter for 15 sec, drained for 15 sec, and immersed in a container with commercial breading mix (No. 5042, Newly Weds Foods, Inc., Chicago, IL) for 15 sec. The breading mix contained bleached wheat flour, salt, corn flour, natural flavor, spices, monosodium glutamate, dextrose, and oleoresin paprika. After breading, the nuggets were weighed again to determine the coated weight. The nuggets were fried for 90 sec in 193°C oil in a Hotpoint fryer (Model HK3, General Electric, Chicago, IL) until an internal temperature of 76°C was reached. The frying oil was liquid frying shortening produced by Kraft, Inc., Glenview, IL. The ingredients in the oil included partially hydrogenated soybean oil, TBHQ, and methylsilicone. After cooling for 20 min, the nuggets were reweighed to determine the cooked weight, and shaken for 1 min (30 sec on each side) on a sieve shaker (No. 15421, RO-TAP Testing Sieve Shaker, The W. S. Tyler Company, Cleveland, Ohio) on a 1/4 inch grid sieve (Fidher Scientific Company), than weighed again to determine the shaken weight. 38 Results were calculated as cooked wt. of - shaken wt. of breaded nugget cooked nugget % crumb loss - initial wt. of raw unbreaded nugget coated wt. of raw - cooked wt. of breaded nugget breaded nugget % cooking loss - initial wt. of raw unbreaded nugget coated wt. of - initial wt. of raw breaded raw unbreaded nugget nugget % coating pickup - initial wt. of raw unbreaded nugget shaken wt. of cooked nugget % overall yield - initial wt. of raw unbreaded nugget cooked wt. of breaded nugget % cooking yield - initial wt. of raw unbreaded nugget x 100 x 100 x 100 x 100 x 100 [23] [24] [25] [26] [27] 39 E. STATISTICAL ANALYSIS PLOTIT was used for linear regression analysis on the experimental variables. Variables were natural logarithm of time and torque during the calculation of time dependence, and angular velocity and torque during the calculation of apparent viscosity. The complete randomized design using 2 factor factorial (adhesion characteristics and apparent viscosity) for each treatment was used to determine the correlation between the factors in the experiment. Tukey's test was used to evaluate the significant difference between the means at the 0.01 level of probability. RESULTS AND DISCUSSION This research showed that a relationship existed between apparent viscosity and the adhesion charcteristics of batter samples. Gum containing batters had higher apparent viscosity and greater adhesion than those of non-gum containing batters. The adhesion of coatings to chicken nuggets can be predicted based on batter rheological properties. A. TIME-DEPENDENT EVALUATION OF CHICKEN BATTERS Table 16 and 17 list the data of torque (Mx) vs time of 30% and 40% solids batters, respectively. Figure 4 illustrates the torque vs time of the 30% solids control batter and batter containing 0.25, 0.5, and 1.0% guar gum. The control batter had the lowest torque curve. The effect of mixing time on the torque of 30% solids batter containing 0.25, 0.5, and 1% xanthan gum is shown in Figure 5. One percent xanthan gum batter had the highest torque curve, followed in decreasing order by 0.5%, 0.25% xanthan batters and the control batter. Torque vs time curves of CMC containing batter and control batter are illustrated in Figure 6. The torque curve increased with increasing hydrocolloid concentration. Very little difference was observed between 0.25% CMC batter and the control batter. CMC containing batters also showed the lowest torque curves compared to the other two 40 41 hydrocolloid containing batters on an equal hydrocolloid concentration basis. Torque curves of all 40% solids batter treatments are illustrated in Figure 7. Guar gum batter had the highest torque curve, followed by xanthan gum batter. Torque curves of the 40% solids CMC containing batter and control batter were similar. However, control batter still showed the lowest curve. The 40% solids batter exhibited higher torque curves than 30% solids batters at the same hydrocolloid concentration (Figure 8). In 30% solids batters, initial torque (MO) increased with increasing hydrocolloid concentration (Table 4). M0 of batters decreased in the following order: xanthan > guar > CMC > control batter at the same hydrocolloid concentration. The highest MO was observed in the 1.0% xanthan batter and the lowest was the control batter. Batter with increasing hydrocolloid concentration had increasing final torque (M60). M60 of batters decreased with 0.5 & 1.0% hydrocolloid concentration in the following order: xanthan >guar > CMC > control. The highest M was 60 exhibited in the 1.0% xanthan batter and the lowest was in the 0.25% CMC batter. The change of initial apparent viscosity p0 and intercept (A) was the same as M . The change of final apparent viscosity 0 p60 was the same as M60. The slope increased as hydrocolloid concentration in the batter was increased (Table 4). The slope decreased in the following order: guar > xanthan > CMC > control batter at 0.25% and 1% hydrocolloid concentration, but xanthan > guar > CMC > control batter at 0.5% hydrocolloid concentration. In 40% solids batters containing 1.0% hydrocolloid (Table 5), MO decreased in the order of guar > xanthan > CMC > control batter. The 42 change in order of M60, #0, #60’ and A was the same as MO. The order of B was xanthan > guar > CMC > control batter. The 30% solids control batter exhibited increasing torque with time compared to the 40% solids control. All hydrocolloid containing batters showed decreasing torque with time of mixing. The 30% control batter and 30% batter containing 0.25% CMC had slopes (Table 4) close to zero which is characteristic of Newtonian fluids. The batters were stable over the time of mixing. All other batters had positive slopes (Table 4 & Table 5), indicating thixotropic properties, which meant shear stress decreased as time increased at a fixed rotational speed. Therefore, batters were unstable (with decreased apparent viscosity) over the time of mixing. Higher absolute slope meant higher degree of time-dependency, and less stable properties over time of mixing. One percent guar gum batter containing 30% solids and 1% xanthan gum batter containing 40% solids had the largest absolute slopes, which indicated the largest degree of time-dependency and the least stable properties among the 30% and 40% solids batters, respectively. Batters containing 0.25% CMC and control batters had the least degree of time-dependency and the most stable properties among the 30% and 40% solids basis batters, respectively, as indicated by their lowest absolute B. Comparing the slope of chicken batter in 30% and 40% solids content at the same hydrocolloid concentration, we found that control and 1.0% xanthan batters had an increased slope, but 1.0% guar and 1.0% CMC batters had a decreased slope when the batter solids content increased from 30% to 40%. It meant that control and 1.0% xanthan batter had a higher degree of time-dependency and less stable properties, but 1.0% guar and 1.0% CMC batters had a lower degree of time-dependency and more stable 43 properties when the batter solids content increased. Therefore, hydrocolloids, especially guar or xanthan gum, contributed to a higher torque, apparent viscosity, and degree of time-dependency but less stable properties than control and CMC in chicken batter. Increasing the hydrocolloid concentration increased the torque, apparent viscosity and degree of time-dependency, but decreased the stable properties of chicken batter. As batter solids content increased, guar and CMC had increased apparent viscosity and more stable properties than control and xanthan. At low concentrations of CMC, the difference between the CMC containing batter and control batter was not evident. 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J3 I11 4* 11. 1 .fi ill" Iii/11000.0 lwrod 10—.O.O Elm—.06 . - . . - 1.8.0 ‘ I ‘ ’ 11111.48... 0.238.. 5.; .203 8:8 x9. ..Rod 0.10 0.10 E30 .630 X0; 5.3 ..ofion.a.u..om x00 I 1000.0 020 R0; 5.3 .832. 02.00 R00 019 1000.0 I I {1 E30 .530 K0; 5.3 3.32. 02.00 K00 1000.0 000.0 (0.1 N) eanOi 49 Table 4 Time dependency data of 30% solids batters containing various hydrocolloids Torqug(N m) Apparent viscosity x10 (Pa 5) Treatment intercept3A slopE,B (N m)x10 10 0 min 60 min 0 min 60 min (M0) (M60) (#0) (#60) control 0.37 0.42 0.11 0.13 0.35 -0.14 0.25%guar 0.82 0.69 0.25 0.22 0.91 0.51 0.5% guar 1.51 1.25 0.47 0.39 1.67 0.99 1.0% guar 3.83 3.37 1.19 1.05 4.14 1.82 0.25%xanthan 1.29 1.15 0.39 0.36 1.35 0.48 0.5% xanthan 2.68 2.34 0.83 0.73 2.84 1.16 1.0% xanthan 4.96 4.83 1.54 1.50 5.22 1.25 0.25%CMC 0.42 0.37 1.13 0.12 0.43 0.13 0.5% CMC 0.80 0.64 0.25 0.20 0.86 0.51 1.0% CMC 1.67 1.28 0.52 0.40 1.80 1.22 50 Table 5 Time dependency data of 40% solids batters containing various hydrocolloids Torqug(N m) Apparent viscosity x10 (Pa 5) Treatment interceptzA slop§,B (N m)x10 x10 0 min 60 min 0 min 60 min (M0) (M60) (#0) (#60) control 1.14 0.70 3.53 2.17 1.18 1.10 1.0% guar 2.44 1.76 7.57 5.47 2.61 1.35 1.0% xanthan 1.85 1.47 5.74 4.56 2.04 1.42 1.0% CMC 1.22 0.78 3.80 2.42 1.30 1.14 51 B. TIME-INDENPENT APPARENT VISCOSITY OF BATTERS AT EQUILIBRIUM l. TORQUE (Mx) VS ANGULAR VELOCITY (0X) OF BATTERS We assumed that time-dependency was removed by 60 min mixing at 70 rpm. Time-independent apparent viscosities (pa) of the samples were determined by increasing the rotational speed (Nx) of the viscometer from 10 to 90 rpm in intervals of 20 rpm. Table 6 shows the torque vs angular velocity of 30% solids batters and Table 7 illustrates those of 40% solids batters. Batters containing the same hydrocolloid showed an increase in torque as hydrocolloid concentration increased at each rotational speed. Torque decreased in batters containing the same hydrocolloid concentration, at each rotational speed, except 10 rpm, in the following order: xanthan guar > CMC > control. At 10 rpm and 0.25% hydrocolloid concentration, torque decreased in the following order: xanthan > CMC > control > guar. Torque increased when rotational speed of the viscometer increased at the same hydrocolloid concentration. Torque vs angular velocities of 40% batter solids content are shown in Table 7. Only control batter and 1.0% hydrocolloid concentration batters were measured. Guar batter had the highest torque, followed by xanthan, CMC and control batter at each rotational speed except at 10 rpm, where xanthan batter had the highest torque. Torque increased with increased rotational speed at the same hydrocolloid concentration. 52 Table 6 Angular veloctiy (0x) vs torque (Mx) of 30% solids batters Torque (N m)x103 Hydrocolloid Concentration(%) (26m) (275) control 0.25 0.5 1.0 Guar 10 1.047 0.15 0.13 0.31 0.97 30 3 142 0.25 0.32 0.66 1.95 50 5.236 0.35 0.50 0.96 2.65 70 7.330 4.42 0.66 1.24 3.30 90 9.425 5.36 0.82 1.50 3.72 Xanthan 10 1.047 0.15 0.34 0.99 2.41 30 3.142 0.25 0.64 1.58 3.47 50 5.236 0.35 0.88 2.02 4.13 70 7.330 4.42 1.12 2.41 4.68 90 9.425 5.36 1.34 2.75 5.18 CMC 10 1.047 0.15 0.18 0.19 0.33 30 3.142 0.25 0.28 0.41 0.78 50 5.236 0.35 0.37 0.52 1.16 70 7.330 4.42 0.48 0.74 1.52 90 9.425 5.36 0.58 0.88 1.84 53 Table 7 Angular velocity (0 ) vs torque (M ) of 40% solids batters C O x O x containing 1% hydrocolloid Torque (N m)x102 N 0 x x (rpm) (l/s) control 1.0%guar 1.0%xanthan 1.0%CMC 10 1.047 0.10 0.66 0.66 0.16 30 3.142 0.29 1.19 0.96 0.37 50 5.236 0.48 1.57 1.19 0.56 70 7.330 0.68 1.88 1.40 0.74 90 9.425 0.86 2.13 1.58 0.91 54 2. FLOW BEHAVIOR INDEX (nx) OF BATTERS The flow behavior index (calculated from Eq. [16]) varied among the different hydrocolloid containing batters and control batter. However, the flow behavior index decreased with increasing hydrocolloid concentration in guar and xanthan batters, but increased with increasing concentrations of CMC (Table 8). Xanthan containing batter had the lowest and control batter had the highest flow behavior index in 40% solids batters (Table 9). A11 batters had a flow behavior index less than 1, indicating that the batters were shear-thinning or pseudoplastic materials under time-independent measurement. The batters became thinner when the rotational speed increased. The use of higher speeds to mix the batters will require less energy, since materials have less resistance. Other authors also have reported that hydrocolloids exhibit pseudoplastic properties (Goldstein et a1., 1973; Batdorf et a1., 1973). 55 Table 8 Power law model parameters of 30% solids control batter and batters containing different concentration of three hydrocolloids Treatment Flow behavior index,n Correlation (dimensionless) x coefficient control 0.587 0.995 0.25% guar 0.829 1.000 0.5% guar 0.710 1.000 1.0% guar 0.619 1.000 0.25% xanthan 0.615 0.998 0.5% xanthan 0.462 0.999 1.0% xanthan 0.345 0.999 0.25% CMC 0.528 0.990 0.5% CMC 0.697 0.996 1.0% one 0.786 ' 1.000 Table 9 Power law model parameters of 40% solids control batter and batters containing 1% of three hydrocolloids Treatment Flow behavior index,n Correlation . . x . (dimenSionless) coeffic1ent control 0.977 1.000 1.0% guar 0.535 1.000 1.0% xanthan 0.349 0.997 1.0% CMC 0.789 1.000 56 3. CONSISTENCY COEFFICIENT (Kx) OF BATTERS: Consistency coefficients under different average shear rates (k’Qx) and the average of consistency coefficients under different average shear rates were measured on 30% solids (Table 10) and 40% solids batters (Table 11). xx increased when hydrocolloid concentration in 30% solids batter was increased under the same average shear rate, except in CMC containing batter. The xx of the CMC batter containing 0.5% hydrocolloid was lower than that of the batters containing 0.25% CMC. Kx increased in 0.5% and 1.0% hydrocolloid containing batters in the following order: xanthan > guar > CMC > control. However, in 0.25% hydrocolloid batters, the order was xanthan > CMC > control > guar under each average shear rate. The Kx always increased when the average shear rate increased at the same hydrocolloid concentration. The average Kx increased in 0.5% and 1.0% hydrocolloid containing batters was also in the order of xanthan > guar > CMC > control. In 0.25% hydrocolloid batters, the order of average Kx was also xanthan > CMC > control > guar. Kx and the average Xx of 40% solids batters were always xanthan > guar > CMC > control. Also, Rx increased as the average shear rate increased at the same hydrocolloid concentration. As hydrocolloid concentration increased, average Kx increase. Thirty percent basis control and 0.25% CMC batters had the least average Kx compared to the others. Forty percent batters had higher average Kx than 30% batters at the same hydrocolloid concentration. Xanthan and guar batter had higher average Kx than CMC and control batters on both a 30% and 40% solids basis containing 1% hydrocolloid concentration. 57 Table 10 Consistency coefficients of 30% solids batters Consistency Coefficient, Kx (Pa sn) Hydrocolloid Concentration (%) Rotational Average Shear Speed Rate, k'fl control 0.25 0.5 1.0 (rpm) (l/S) Guar 10 4.67 0.44 0.27 0.78 2.76 30 14.01 0.47 0.32 0.90 3.37 50 23.35 0.53 0.35 0.99 3.83 70 32.69 0.58 0.37 1.06 3.87 90 42.04 0.63 0.39 1.11 3.89 Average 50 23.35 0.53 0.34 0.97 3.54 Xanthan 10 4.67 0.44 0.99 3.62 10.50 30 14.01 0.47 1.11 4.12 12.35 50 23.35 0.53 1.22 4.54 13.38 70 32.69 0.58 1.33 4.89 14.27 90 42.04 0.63 1.42 5.18 15.08 Average 50 23.35 0.53 1.21 4.47 13.12 CMC 10 4.67 0.44 0.59 0.47 0.72 30 14.01 0.47 0.61 0.58 0.87 50 23.35 0.53 0.68 0.56 0.94 70 32.69 0.58 0.77 0.67 0.99 90 42.04 0.63 0.85 0.69 1.03 Average 50 23.35 0.53 0.70 0.59 0.91 58 Table 11 Consistency coefficient of 40% solids batters Consistency Coefficient,Kx (Pa 5“) Rotational Average Shear Speed Rate, k'Ox (rpm) (l/s) control 1.0%guar 1.0%xanthan 1.0%CMC 10 4.67 1.67 21.45 26.72 3.53 30 14.01 1.93 25.71 29.99 4.13 50 23.35 2.15 28.01 33.19 4.53 70 32.69 2.29 29.54 36.04 4.79 90 42.04 2.37 30.50 38.27 5.07 Average 50 23.35 2.08 27.04 32.84 4.41 59 4. APPARENT VISCOSITY (pa) OF BATTERS Batter apparent viscosity results are tabulated in Table 18 for the 30% solids batters, and Table 19 for the 40% solids batters. The effect of shear rate on apparent viscosity of 30% solids batters containing guar, xanthan and CMC are illustrated in Figures 9, 10 and 11, respectively. When batter contained the same percentage hydrocolloid, xanthan batter always showed the highest apparent viscosity, followed by guar batter, CMC batter, and control batter at each rotational speed. The average apparent viscosity was in the same decreased order. At 10 rpm and 0.25% hydrocolloid content, the apparent viscosity decreased with hydrocolloid type in the following order: xanthan > CMC > control > guar. Generally, increasing the rotational speed decreased the apparent viscosity in each hydrocolloid batter, except in 0.25% guar batter and 1.0% CMC batter, where the apparent viscosity varied irregularly with increasing rotational speed. The degradation of apparent viscosity with increasing rotational speed was probably due to the destruction of the binding forces in the batter, for example, between hydrogen bonds of the carbohydrates. Apparent viscosity under each rotational speed and the average apparent viscosity of 40% solids batters were decreased in the order of 1.0% guar > 1.0% xanthan > 1.0% CMC > control, except at 10 rpm, the order was 1.0% xanthan > 1.0% guar > 1.0% CMC > control (Figure 12). The batters exhibited decreased apparent viscosity when the rotational speed increased, except the control batter which had increased apparent viscosity with increased rotational speed. The apparent viscosity vs average shear rate of 1.0% gum containing 60 batters of 30% and 40% solids content is illustrated in Figure 13. Forty percent solids batter had higher apparent viscosities than thirty percent solids batters. 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The other batters had hydrocolloid surrounding the starch granules which prevented the hydration of starch granules. Therefore, they had recoveries less than 100% and decreased apparent viscosity over time of mixing. When batter solids content increased, there were more starch granules in the batter and less starch hydration. Therefore, the recoveries of 40% solids batters were less than those of 30% solids batters at the same hydrocolloid concentration. The percent recovery reflects the properties of time-dependent behavior of the samples, while time-dependency reflects the change of batter viscosity with time. When percent recovery equals 100, there is no time-dependent behavior or complete recovery in the sample. If recovery does not equal to 100, there is irreversible structural breakdown in the sample. The far the percent recovery from 100, the stronger the time-dependency properties. If the percent recovery is over 100, more energy will be needed to mix the sample. Similarly, less energy is needed when percent recovery is less than 100. The quality is also different in these two situations. 67 Recovery can be used as an index to indicate how much energy is needed to restart the machine and how much batter quality is changed on standing. 68 Table 12 Recovery of 30% solids control batter and batters containing different hydrocolloids Treatment Recovery (%) control 1278 0.25% guar 73C’d 0.5% guar 71c,d 1.0% guar 77C 0.25% xanthan 81b’C 0.5% xanthan aeb'c 1.0% xanthan 92b 0.25% cuc 93b 0.5% cuc 66d 1.0% CMC 86b'c Any two means with the same 1etter(s) were not significantly different from each other by Tukey's Test at a - 0.01. 69 Table 13 Recovery of 40% solids control batter and batters containing different hydrocolloids Treatments Recovery (%) control 60C 1.0% guar 691”C 1.0% xanthan 81a 1.0% CMC 56° Any two means with the same 1etter(s) were not significantly different from each other by Tukey's Test at a - 0.01. 70 C. ADHESION CHARACTERISTICS OF BATTERS l. ADHESION CHARACTERISTICS OF 30% SOLIDS CHICKEN BATTERS Adhesion characteristics of batter to chicken nuggets were evaluated by determining percent crumb loss, percent cooking loss, percentcoating pickup, percent overall yield, and percent cooking yield. Results are tabulated in Table 20. No significant difference was observed in percent crumb loss (Figure 14) or percent cooking loss (Figure 15) of the ten 30% solids batter treatments. Type and concentration of hydrocolloid did not influence the percent crumb loss or percent cooking loss of batters. The standard deviation and experimental error may have been caused by manipulation error, fryer temperature control error or frying time error. Batter composition had a large influence on the amount of coating picked up by the chicken nuggets (Figure 16). Percent coating pickup increased as hydrocolloid concentration increased in the batter. Percent coating pickup of the batters increased significantly by 140% compared to the control at guar gum concentration of 1.0%. The largest increase in coating pickup with hydrocolloid concentration was observed in the xanthan gum containing batters. A 135% and 296% increase in coating pickup was observed over the control when 0.5 and 1.0% xanthan gum was added to the batters. At the same hydrocolloid concentration, xanthan gum containing batters exhibited the highest coating pickup followed by guar gum containing batters. Coating pickup in CMC containing batters did not differ significantly from the control. Overall yield of the chicken nuggets was significantly influenced 71 by the type and concentration of hydrocolloid in the batter mix. At the same hydrocolloid concentration, the percent overall yield decreased in the following order: xanthan > guar > CMC > control (Figure 17). Compared to the control, a 16% increase of overall yield was observed at 1% guar gum. For the xanthan gum batter, an increase of 37% over the control was observed at 1.0% xanthan concentration in the batter. The % overall yield of CMC containing batters did not differ significantly from the control. The concentration of xanthan gum also significantly influenced the % cooking yield of the batters (Figure 18). The percent cooking yield had the same decreased order as the percent overall yield had when the same hydrocolloid concentration was in the batter. The highest cooking yield was observed in xanthan gum containing batter. At xanthan concentrations of 0.5 and 1.0%, cooking yield increased significantly by 16% and 38% compared to the control. Guar gum and CMC in the batters did not increase cooking yield compared to the control. Therefore, we found that 1% xanthan batter had the significantly highest coating pickup, overall yield, and cooking yield among the samples. 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Table 21 shows the results of adhesion characteristics of 40% solids chicken batters. Gum containing batters had higher percent crumb loss than non-gum containing batters (Figure 19). One percent xanthan gum gave the batter the highest loss of crumb among the others. Crumb loss of the batters increased by 167% and 100% at 1% xanthan and 1% CMC as compared to the control. Crumb loss of 1% guar containing batter did not differ signficantly from the control. The higher crumb-loss batter had higher standard deviation than the lower crumb-loss batter. The reason seemed the same as the previous description, such as the manipulation error, fryer temperature control error or frying time error. Guar gum containing batter had the highest and the control batter had the lowest cooking loss among the samples (Figure 20). Percent cooking loss decreased in the order of guar > CMC > xanthan > control. An increase of 50% of cooking loss as 1% guar was added to the control. The percent cooking loss of xanthan and CMC containing batter did not differ significantly from the control. Guar gum batter had the highest coating pickup among the samples containing 1% hydrocolloid, followed by xanthan gum. Guar and xanthan gum (1%) increased coating pickup by of 121% and 98% over the control, respectively (Figure 21). CMC in batters did not increase coating pickup significantly compared to the control. The lowest value was given by the control. 78 Xanthan and guar batters had almost the same high overall yield (Figure 22) The control exhibited the lowest overall yield. Overall yield of the batters increased by 20% when 1% xanthan or 1% guar was added to the batter. CMC in the batters did not increase overall yield significantly compared to the control. Percent cooking yield of the samples was similar to those of the percent overall yield (Figure 23). An increase of approximately 20% in cooking yield was observed when 1% xanthan and 1% guar were added to the batter. The percent cooking yield of 1% CMC containing batter did not differ significantly from the control. Therefore, we found that coating pickup, overall yield, and cooking yield were high in xanthan and guar batters, but low in control and CMC batters. Results also indicated that batters with higher crumb loss also had higher coating pickup, overall yield, and cooking yield. Cunningham and Tiede's (1981) also found that, as the viscosity of the batters increased, the amount of breading pickup and crumb-loss increased. In general, gum containing batters had higher adhesion than non-gum containing batters. It was concluded that gums were helpful in increasing the yield of battered and breaded products. Our conclusion agreed with a similar report by Suderman et a1. (1981), that gum source significantly affected adhesion of breading to poultry drum-sticks. However, they found that there was no effect of gum level or level-source interaction. In their report, CMC was significantly better than guar, and guar was significantly better than xanthan in crumb loss. In our research, we could not find significant differences in crumb loss among our different batter treatments. Also, coating pickup, overall yield, and cooking yield of treatments were significantly different. Xanthan gum 79 gave the best coating pickup, overall yield, and cooking yield among the tested hydrocolloids. CMC contributed the least to adhesion of batter to chicken batters. The difference in results between our experiment and Suderman et a1. (1981) may be caused by formulation differences. We added hydrocolloids to the batter mix while Suderman added the gum to the breading. In Suderman's research, hydrocolloids interfaced to breading and chicken drumsticks. While in our research, hydrocolloid interfaced to water, batter, chicken nuggets, and breading. Xanthan gum exhibited the highest crumb loss in both studies, but also gave the highest coating pickup, overall yield, and cooking yield in our study. CMC gave the lowest crumb loss in both studies, but also gave the lowest coating pickup, overall yield, and cooking yield in our study. [:23 control :2 guar gum ' [2: sodium carboxymethylcellulose (CMC) a xanthan gum . EIIIIIIIIIIIIIII #3316101: 9 o o {91¢{61919191010101910191010} §\\“\\\\\\\\\\\\‘ 2.8 I I l 1 l I s. o «a as no ‘t 0. N N v- v- 0 O O (z) ss0‘l qwmg 1.0 1.0 1.0 Percent Hydro In '0 >~. «4 H H u o r: to co 0 an ..4 0 ‘HA q adv-l .. 0° .0 do ..4 m 3 l '0 d o u u d 0 0m 0'0 U a: m CLO 0 .4 AU vac-4 UOAVfl out: - DOOO >5 sou-.400 00000 fihdo: 13*! 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E30 .530 NM .. .obcoo NU (z) Plalk ”01er Ago.o I o um uuou a.xoxsa as nosuo sous aoum ucououuuv mHuCaOHuucwau no: one: Auvuouuoa «Eda osu god: asses osu many Acoduaa>oo ouuocnuu one: anon uouuov mvaoaaououvas ucououuqo madcaoucou nuouuup moaaom woo no“: oouoaoua uuomwsc coXo«£o no vaowh w:«XOoo ucoouom nu ouamah . Eo=oooLU>I acmouod o.w O .— o; o r . . . _ . . . . , ..oS . m _ _ no? _ H wow? W; i HHHH - Ii iii \\\\\\\\\\\ Mil-M n In: "Land . iii... wows so "ml“... . "WNW 1mm, m mo? nu nu fiumwmuw f T0¢~ 820v omo_:=oo_>£oE>xo€ou Eamvom “U 19; Sam cocucox m Iomw Eam Loam ! .. Imnw .2300 ”H Um F (z) PIBIA Bumooo 85 3. COMPARISON OF ADHESION CHARACTERISTICS OF 30% AND 40% SOLIDS BATTERS We compared the adhesion characteristics of batters containing 1% hydrocolloid and found that, except control batter, percent crumb loss of 40% solids batters was higher than that of 30% solids batters. Thirty percent solids control batter had higher percent crumb loss than that of 40% solids control batter. Percent cooking loss of 40% solids batters were higher than those of 30% solids batters. Forty percent solids batters had higher percent coating pickup, percent overall yield, and percent cooking yield than those of 30% solids batters, with the exception of xanthan containing batter. Thirty percent xanthan containing batter had higher percent coating pickup, percent overall yield, and percent cooking yield than those of 40% xanthan containing batter. D. RELATIONSHIP BETWEEN RHEOLOGICAL PROPERTIES AND ADHESION CHARACTERISTICS OF CHICKEN BATTERS Average apparent viscosity (C-D, Figure 3) was correlated to the adhesion characteristics of chicken batters. A high correlation coefficient meant a high relationship between rheological properties and adhesion characteristics of the chicken batters. High correlation coefficients were observed between apparent viscosity and percent coating pickup, percent overall yield, and percent cooking yield of 30% solids batters (Table 14). The correlation coefficients were up to 0.98. Low correlation coefficients were observed between apparent viscosity and percent crumb loss and percent cooking loss. 86 Apparent viscosity of batters cannot be used to predict the percent crumb loss or percent cooking loss of the nuggets. A high correlation coefficient of 0.98 was observed between apparent viscosity and percent coating pickup. When the apparent viscosity of the sample increased, the percent coating pickup increased also. Correlation of apparent viscosity and percent overall yield had a coefficient of 0.98. The correlation of apparent viscosity with percent cooking yield exhibited a high coefficient of 0.98, also. Table 15 showed the correlation coefficient of apparent viscosity vs adhesion characteristics of the 40% solids batters. Percent coating pickup, percent overall yield, and percent cooking yield showed a high correlation coefficient with apparent viscosity. Due to the low correlation coefficient, apparent viscosity could not be used to predict the percent crumb loss or percent cooking loss of the batter on chicken nuggets. The results indicated a relationship between batter apparent viscosity and adhesion characteristics such as coating pickup, overall yield and cooking yield. However, we did not find a relationsip between apparent viscosity and crumb loss or cooking loss due to the low correlation. Coating pickup, overall yield and cooking yield will be the parameters to measure if food processers hope to compare the influence of hydrocolloid source and concentration for improving adhesion characteristics. When comparing the relationship between adhesion and time-dependency of the samples, control and 0.25% CMC have the lowest adhesion and lowest degree of time-dependency, but the highest stable properties among the samples. Xanthan and guar gum batters have higher adhesion and degree of time-dependency but lower stability than CMC did. When hydrocolloid concentration or batter solids content increase, the adhesion and degree 87 of time-dependency increase, but the stability of the sample decreases. The 30% solids control had the lowest adhesion but over 100% recovery, which showed the batter had increased apparent voscosity over time of mixing. When batter contained hydrocolloid or increased solids content, batters have increased adhesion but less than 100% recovery and indicating the batters have decreased apparent viscosity over the time of mixing. In our experiment, we did not find a hydrocolloid that contributed all of the following characteristics to the batter: higher adhesion and apparent viscosity, higher time-dependency or more stable properties over the time of mixing, and reasonable recovery for quality maintenance over the time of mixing. 88 Table 14 Correlation coefficient of apparent viscosity vs adhesion characteristics of 30% solids chicken batters Comparison Correlation coefficient Apparent Apparent Apparent Apparent Apparent Viscosity vs Viscosity vs Viscosity vs Viscosity vs Viscosity vs % Crumb Loss % Cooking Loss % Coating Pickup % Overall Yield % Cooking Yield 0.69 0.32 0.98 0.98 0.98 Table 15 Correlation coefficient of apparent viscosity vs adhesion characteristics of 40% solids chicken batters Comparison Correlation coefficient Apparent Viscosity vs % Crumb Loss 0.51 Apparent Viscosity vs % Cooking Loss 0.51 Apparent Viscosity vs % Coating Pickup 0.96 Apparent Viscosity vs % Overall Yield 0.96 Apparent Viscosity vs % Cooking Yield 0.95 89 E. PRACTICAL APPLICATIONS OF THE RESEARCH The results of this research can be applied as follows: 1. Hydrocolloids can be applied to the batter industry to increase the adhesion and apparent viscosity of batter mixes. 2. Since time factors, hydrocolloid type and concentration, and batter solids content influenced the stability of batters during mixing, it is desirable to find a batter with the lowest time-dependency and the most stable properties. This kind of batter also needs to have high adhesion and apparent viscosity. 3. Strain history which is calculated by the multiplication of time and shear rate can be used to quantify the influence of time-dependency during the mixing and pumping of batters. We could design equipment to maintain optimum batter properties and adhesion. SUMMARY AND CONCLUS ION The objectives of this research were accomplished by the study. The effect of hydrocolloid type and concentration, and batter solids content on the rheological and adhesion characteristics of a batter mix to chicken nuggets was determined. A relationahip was found between the rheological properties and adhesion characteristics of batter mixes. Batter rheological properties changed with time of mixing. The 30% solids control and 0.25% CMC batters showed Newtonian behavior and had more stable properties during the time of mixing. All other batters exhibited thixotropy. All batter treatments displayed pseudoplasticity (shear-thinning). Generally, increasing rotational speed decreased apparent viscosity. Higher hydrocolloid concentration and higher batter solids content caused a higher apparent viscosity and degree of time-dependency but less stability. Thirty percent solids control and 0.25% CMC batters had the lowest degree of time-dependency and apparent viscosity but the most stable properties among the treatments. Xanthan and guar gums exhibited greater time-dependency and apparent viscosity but less stable properties than CMC at the same concentration. Batters with greater time-dependency or less recovery need less energy during mixing. Hydrocolloid composition of the batter had a large influence on adhesion to chicken nuggets. Higher hydrocolloid concentration and higher batter solids content gave higher adhesion, as measured by coating pickup, 90 91 overall yield, and cooking yield. In 40% solids batters, increased coating pickup led to increased crumb loss. However, there was no evidence for the same correlation in 30% solids batters. Xanthan and guar gums showed better adhesion than CMC at the same concentration. Control batter had lower adhesion than hydrocolloid batters. A positive correlation was made between apparent viscosity and adhesion characteristics, such as percent coating pickup, percent overall yield, and percent cooking yield. No predictability could be made between apparent viscosity and percent crumb loss or percent cooking loss. Batters with higher apparent viscosity usually have higher adhesion properties. FUTURE RESEARCH Several ideas for further research and quality improvement are suggested as follows: 1. The effect of other type, concentration, or the combinations of hydrocolloids on the rheological and adhesion properties of the batter. . The effect of batter-mix composition on the rheological and adhesion properties of the batter. . Studies of stirring time in the mixer to achieve better adhesion and higher apparent viscosity of the batter. . Investigation of the oil absorption ability of hydrocolloid containing batters during frying to determine influence of oil absorption on adhesion. . Studies of other viscometers (e.g. Brookfield with proper impellers) for measuring the apparent viscosity of batter mixes. . Evaluation of sensory acceptance of hydrocolloid containing batters. 92 REFERENCES 93 LIST OF REFERENCES Anonymous. 1981. Total poundage of frozen products using breading for alternate years 1962 to 1980. Quick Frozen Foods Novzll3. Anonymous. 1981. Total poundage of breading used on frozen products for alternate years 1962 to 1980. Quick Frozen Foods Novzll3. Anonymous. 1988. Tracking down trends. Poultry Processing April/May230. Astarita, G., Manucci, G., and Wicolais, L. 1980. "Rheology," vol.3: Application, Plenum Press, New York. Balmaceda, E., Rha, C-K., and Huang, F. 1973. Rheological properties of hydrocolloids. J. Food Sci. 38:1169. Baker, R.C., Darfler, J.M., and Vadehra, D.V. 1972. Prebrowned fried chicken: 1. Evaluation of cooking methods. Poultry Sci. 51:1215. Baker, R.C, Scott-Kline, D., Hutchison, J., Goodman, A., and Charvat, J. 1986. A pilot plant study of the effect of four cooking methods on acceptability and yields of prebrowned battered and breaded broiler parts. Poultry Sci. 65:1322. Batdorf, J.B. and Rossman, J.M. 1973. Sodium carboxy—methylcellulose. Quoted in Whistler, R.C. (Ed.), (1973), I'Industrial Gums," p.695, Academic Press, Inc., New York. Bird, R.B. 1965. Mathematical model building in rheology. Quoted in (1965), "Application of Mathematical Models in Chemical Engineering Research Design and Production,” A.I.Ch.E.-I.Chem.E. Joint Meeting, London. Bistany, K.L. and Kokini, J.L. 1983. Dynamic Viscoelastic properties of foods in texture control. J. Rheology 27(6):605. Casson, N. 1959. A flow equation for pigment-oil suspensions of the printing ink type. Quoted in Mill, C.C. (Ed.) (1959), "Rheology of Disperse Systems," p.82, Pergamon Press, New York. Charm, S.E. 1962. The nature and role of fluid consistency in food engineering applications. Adv. Food Res. 11:356. Charm, S.E. 1963. Effect of yield stress on the power law constants of fluid food materials determined in low shear rate viscometers. Ind. Eng. Chem. Proc. Des. Development 2:62. 94 Cheng, D.C.H. and Evans, F. 1965. Phenomenological characterization of the rheological behavior of inelastic reversible thixotropic and antithixotropic fluids. Brit. J. Appl. Phys. 16:1599. Chevalley, J. 1975. Rheology of chocolate. J. Texture Stud. 6:177. Collins, J.L. and Dincer, B. 1973. Rheological properties of syrups containing gums. J. Food Sci. 38:489. Corey, M.L., Gerdes, D.L., and Grodner, R.M. 1987. Influence of frozen storage and phosphate predips on coating adhesion in breaded fish portions. J. Food Sci. 52(2):297. Cunningham, F.E., and Tiede, L.M. 1981. A research note: Influence of batter viscosity on breading of chicken drumsticks. J. Food Sci. 46:1950. Dawson, L.E., Zabik, M., and Sobel, N. 1962. An edible coating for poultry meat preservation. Poultry Sci. 41:1640. Davis, A. 1983. Batter and breading ingredients. Quoted in Suderman, D.R. and Cunningham, F.E. (1983), "Batter and Breading Technology," AVI Publishing Company, Westport, CT. Dekee, D., Turcotte, G., and Code, R.K. 1980. Rheological characterization of time-dependent foodstuffs. Quoted in Astarita, G., Marrucci, G., and Nicolais, L. (1980), "Rheology, vol.3," p.609, Plenum Press, New York. Donahoo, P. 1970. Choosing the right batter and breading. Proceedings of the Seventh Annual Poultry and Egg Further Processing Conference, p.18. Doublier, J. L. and Launay, B. 1974. Proprietes rheologiques des solutions de gomme guar. Quoted in Dechema Monographien, " Lebensmittel-Einfuss der Rheologie, band 77,” P.197, Dechema, Frankfurt. Elston, E. 1975. Why fish fingers top the market. Fishing News International 14:30. Figoni, P.I. and Shoemaker, C.F. 1981. Characterization of structure behavior of foods from their flow properties. J. Texture Stud. 12:287. Ford, E.W. and Steffe, J.F. 1986. Quantifying thixotrop in starch- thickened, strained apricots using mixer viscometry techniques. J. Texture Stud. 17:71. 95 Funk, K., Yadrick, M.K. and Conklin, M.A. 1971. Chicken skillet-fried or roasted with and without an edible coating. Poultry Sci. 50:634. Glicksman, M. 1969. "Gum Technology in the Food Industry," Academic Press, New York. Coldstein, A.M., Alter, E.N., and Seaman, J.K. 1973. Guar gum. Quoted in Whistler, R.C. (ed.) (1973), "Industrial Gums," p.303, Academic Press, Inc., New York. Graf, R.L. and Stewart, C.F. 1953. Slack vs. subscald for broilers. Poultry Proc. & Mktg. 59:12. Hale, K.K. Jr. and Goodwin, T.L. 1968. Breaded fried chicken: effects of precooking, batter composition, and temperature of parts before breading. Poultry Sci. 47:739. Hale, K.K. Jr. and Mayfield, T.L. 1976. The effects of chilling and nonchilling on further processed fowl. Poultry Sci. 55:1798. Hanson, H.L. and Fletcher, L.R. 1965. Preparation of pre—cooked frozen poultry products. U.S. patent 3,169,069, February 9. Harper, J.C. 1960. Viscometric behavior in relation to evaporation of fruit purees. Food Technol. 14:557. Harris, N.E. and Lee, F.H. 1974. Coating composition for foods and method of improving texture of cooked foods. U.S. patent 3,794,742, February 26. Heath, J.L., Teekell, R.A., and Watts, A.B. 1971. Fatty acid composition of batter coated chicken parts. Poultry Sci. 50:219. Herschel, W.H. and Bulkley, R. 1926. The ostwald viscometer as a consistometer. Proc. Am. Soc. Testing Materials 26:621. Higgs. S.L. and Norrington, R.J. 1971. Rheological properties of selected foodstuffs. Proc. Biochem. 6(5):52. Holdsworth, S.D. 1971. Applicability of rheological models to the interpretation of flow and processing behaviour of fluid food products. J. Texture Stud. 2:393. Kaufman, H.R. 1977. Process for deep frying of chicken. U.S. patent 4,054,673, October 18. Krumel, K.L. and Sarkar, N. 1975. Flow properties of gums used to the food industry. Food Technol. 29(4):36. Lane, R.H., Nguyen, H., Jones, S.W., and Midkiff, V.C. 1982. The effect of fryer temperature and raw weight on yield and composition of deep-fat fried chicken thighs. Poultry Sci. 61:294. 96 Lane, R.H. and Abdel-Ghany, M. 1986. Viscosity and pickup of a fish and chip batter: Determinants of variation. J. Food Qual. 9:107. Libby, L.L. 1963. Prepared frozen food for cooking and method of preparing the same. U.S. patent 3,078,172, February 19. Love, B.E. and Goodwin, T.L. 1974. Effects of cooking methods and browning temperatures on yields of poultry parts. Poultry Sci. 5321391. Lucas, A.M. and Stettenheim, P.R. 1972. "Avian anatomy. Integument," Part 2. U.S. Government Printing Office, Washington, D.C. Matz, S.A. 1962. "Food Texture," Avi Publishing Co., Westport, Conn. May, K.N., Farr, A.J., and Hudspeth, J.P. 1969. Estimating breading content of battered and breaded poultry products. Food Technol. 23:1087. Metzner, A.B. and Otto, R.B. 1957. Agitation of non-Newtonian fluids. Am. Inst. Chem. Engr. J. 3:3. Mickelberry, W.C. and Stadelmen, W.J. 1962. Effect of cooking method on shear-press values and weight changes of frozen chicken meat. Food Technology 16:94. Montagna, W. and Lobitz, W.C. Jr. 1964. "The Epidermis," Academic Press, New York. Nakai, Y. and Chen, T.C. 1986. Effects of coating preparation methods on yields and compositions of deep-fat fried chicken parts. Poultry Sci. 65:307. Ofoli, R.Y., Morgan, R.G., and Steffe, J.F. 1987. A generalized rheological model for inelastic fluid foods. J. Texture Stud. 18:213. Petrellis, N.C. and Flummerfelt, R.W. 1973. Rheological behavior of shear degradable oils: kinetic and equilibrium properties. Canadian J. Chem. Egr. 51:291. Pinkus, H. and Mehregan, A.H. 1969. "A Guide to Dermatohistopathology," Appleton Century Crofts, New York. Prentice, J. H. 1968. Measurement of some flow properties of market cream. Quoted in SCI monograph No.27 (1968), "Rheology and Texture of Foodstuffs,9 p.265, Society of Chemical Industry, London. Prentice, J.H. 1972. Rheology and texture of dairy products. J. Texture Stud. 3:415. 97 Proctor, V.A. and Cunningham, F.E. 1983. Composition of broiler meat as influenced by cooking methods and coating. J. Food Sci. 4821696. Proctor, V.A. and Cunningham, F.E. 1984. Effect of weight, temperature and skinning of broiler drumsticks on batter and breading adhesion. J. Food Qual. 6:315. Pryce-Jones, J. 1953. The rheology of honey. Quoted in Scott Blair, G.W. (Ed.) (1953), "Foodstuffs: Their Plasticity, Fluidity and Consistency," p.148, North Holland, Amsterdam. Rao, M.A. 1975. Measurement of flow properties of food suspension with a mixer. J. Texture Stud. 6:533. Rao, M.A. 1977. Rheology of liquid foods-a review. J. Texture Stud. 8:135. Rao, M.A. and Kenny, J.F. 1975. Flow properties of selected food gums. Can. Inst. Food Sci. Technol. J. 8:142. Rao, M.A., Walter, R.H., and Cooley, H.J. 1981. Effect of heat treatment on the flow properties of aqueous guar gum and sodium carboxymethylcellulose (CMC) solutions. J. Food Sci. 46:896. Rieger, F. and Novak, V. 1973. Power consumption of agitators in highly viscous non-Newtonian liquids. Trans. Instn. Chem. Engrs. 51:105. Rock, J.K. 1971. Xanthan gum. Food Technol. 25:476. Rostagno, W. 1974. Rheological properties of chocolate. Quoted in Dechema Monographien, Band 77. (1974), "Lebensmittel-Einfluss der Rheologie,” p.283, Dechema, Frankfurt. Schnell, P.G. 1976. Method to improve the physical, organoleptical and functional properties of flour-based products through the use of yeast and product of said method. U.S. patent 3,997,683, December 14. Schutz, R. A. 1970. De la rheologie des systemes aquenx a base de gommes. Die starke 22:116. Seeley, F.L. 1981. Adhesion of coating broiler drumsticks. M.S. thesis, Kansas State Univ., Manhattan. Sherman, P. 1975. Factors influencing the instrumental and sensory evaluation of food emulsions. Quoted in Rha, C-K.D. (1975), "Theory, Determination and Control of Physical Properties of Food Materials," p.251, Reidel Publishing Co., Boston, MA. 98 Sisko, A.W. 1958. The flow of lubricating greases. Ind. Eng. Chem. 50:1789. Sison, E.C. 1972. Centralized processing of frozen pre-cooked chicken. Dissertation Abstracts International Section B. The Sciences and Engineering 32:7101. Speers, R.A. and Tung, M.A. 1986. Concentration and temperature dependence of flow behavior of xanthan gum dispersions. J. Food Sci. 51(1):96. Steffe, J.F. and Ford, E.W. 1985. Rheological techniques to evaluate the shelf-stability of starch-thickened, strained apricots. J. Texture Stud. 16:179. Strommer, P.K. and Valentas, R.J. 1976. Method for preparing breading. U.S. patent 3,997,673, December 14. Suderman, D.R. and Cunningham, F.E. 1979. New portable sieve shaker tags breading adhesion. Broiler Industry 42:66. Suderman, D.R. and Cunningham, F.E. 1980. Factors affecting adhesion of coating to poultry skin. Effect of age, method of chilling, and scald temperature on poultry skin ultrastructure. J. Food Sci. 45:444. Suderman, D.R. and Cunningham, F.E. 1981. Factors affecting adhesion of coating to poultry skin: effects of various protein and gum sources in the coating composition. J. Food Sci. 46:1010. Suderman, D.R. and Cunningham, F.E. 1981. Effect of freezing broiler drumsticks on breading adhesion. 46:1953. Suderman, D.R. and Cunningham, F.E. (ed.) 1983. "Batter and Breeding Technology," AVI Publishing Company, Inc., Westport, Connecticut. Tanaka, M., deMan, J.M., and Voisey, R.W. 1973. Some rheological properties of whipped toppings. Chem. Microbiol. Lebensm. 2:1. Tiu, C. and Boger, D.V. 1974. Complete rheological characterization of time-dependent food products. J. Texture Stud. 5:329. Toloday, D. 1975. Vegetable gum mix improves shrimp breading. Food Proc. 36:32. Tung, M.A., Richards, J.F., Morrison, B.S., and Watson, E.L. 1970. Rheology of fresh, aged and gramma-irradiated egg white. J. Food Sci. 35:872. 99 USDA. 1986. Purchase of frozen fried batter/breaded nugget shaped chicken patties for distribution to eligible outlets. Announcement PY-118. U.S. Dept. of Agriculture, Washington, D.C. Van Wazer, J.R., Lyons, J.W., Kim, K.Y., and Colwell, R.B. 1963. "Viscosity and Flow Measurement," Interscience, New York. Voisey, P.W. and deMan, J.M. 1970. An electronic recording viscometer for food products. Can. Inst. Food Tech. J. 3:130. Whistler, R.L. and BeMiller, J.N. (Ed.) 1973. "Industrial Gums, Polysactharides and Their Derivatives," Academic Press, New York. Whitcomb, P.J. and Macosko, G.W. 1978. Rheology of xanthan gum. J. Rheol. 22(5):493. Whorlow, R. W. 1979. " Rheological Techniques," Halsted Press, New York. Wood, F.W. 1968. Psychophysical studies on the consistency of liquid foods. Quoted in SCI Monograph No.27 (1968), "Rheology and Texture of Foodstuffs," The Society of Chemical Industry, London. Yang, C.S. and Chen, T.C. 1979. Yields of deep-fat fried chicken parts as affected by perparation, frying conditions, and shortening. J. Food Sci. 44:1074. Zatz, J.L. and Knapp, S. 1984. Viscosity of xanthan gum solutions at low shear rates. J. Pharm. Sci. 73(4):468. Ziegler, F. and Stadelman, W.J. 1955. The effect of different scald water temperature on the shelf-life of fresh, nonfrozen fryers. Poultry Sci. 34:237. Zwiercan, G.A. 1974. Case of the weeping pies (and others). Food Engineering 46:79. APPENDIX . 1 Torque vs time 100 Table 16 of 30 % solids batters measured at 70 rpm, 100C Torque (N m) x 103 Time(min) control 0.25% guar guar 1.0% guar 0.9482 0.37 0.82 .52 3.83 5.5990 0.36 0.83 .53 3.84 10.250 0.42 0.83 .50 3.81 14.890 0.38 0.82 .48 3.83 19.540 0.38 0.80 .46 3.78 24.190 0.39 0.79 .43 3.72 28.840 0.39 0.78 .39 3.64 33.480 0.40 0.77 .39 3.64 38.130 0.41 0.75 .36 3.60 42.780 0.41 0.73 .34 3.55 47.420 0.41 0.72 .32 3.52 52.070 0.42 0.72 .29 3.44 56.710 0.41 0.71 .27 3.41 Data were averaged by triplicated tests. BB was basic batter. 101 Table 16 (cont'd) Torque (N m) x 103 Time(min) 0.25% xanthan 0.5% xanthan 1.0% xanthan 0.9482 1.29 2.68 4.96 5.5990 1.26 2.66 5.06 10.250 1.25 2.64 5.05 14.890 1.25 2.59 5.01 19.540 1.23 2.57 4.97 24.190 1.22 2.53 4.94 28.840 1.22 2.50 4.90 33.480 1.20 2.48 4.88 38.130 1.19 2.46 4.85 42.780 1.18 2.45 4.81 47.420 1.17 2.40 4.76 52.070 1.17 2.39 4.75 56.710 1.15 2.36 4.71 102 Table 16 (cont'd) Torque (N m) x 103 Time(min) 0.25% CMC 0.5% CMC 1.0% CMC 0.9482 0.42 0.80 1.67 5.5990 0.40 0.78. 1.16 10.250 0.40 0.76 1.58 14.890 0.40 0.76 1.54 19.540 0.39 0.75 1.50 24.190 0.39 0.73 1.47 28.840 0.39 0.71 1.45 33.480 0.39 0.70 1.42 38.130 0.39 0.69 1.39 42.780 0.38 0.68 1.37 47.420 0.38 0.66 1.35 52.070 0.38 0.66 1.32 56.710 0.38 0.65 1.30 103 Table 17 Torque vs time1 of 40 % solids batters measured at 70 rpm, 100C Torque (N m) x 102 Time(min) control 1.0% guar 1.0% xanthan 1.0% CMC 0.8460 1.14 2.44 1.85 1.22 4.9900 1.04 2.47 1.81 1.18 9.1340 0.97 2.39 1.75 1.10 13.280 0.92 2.35 1.70 1.05 17.420 0.89 2.30 1.65 1.01 21.560 0.86 2.26 1.62 0.98 25.700 0.83 2.22 1.62 0.95 29.840 0.81 2.18 1.59 0.92 33.980 0.79 2.15 1.57 0.90 38.130 0.77 2.11 1.55 0.87 42.270 0.76 2.08 1.52 0.86 46.410 0.74 2.05 1.50 0.83 50.550 0.73 2.02 1.49 0.82 54.690 0.71 1.98 1.49 0.80 58.830 0.70 1.95 1.47 0.79 1’2 The same definition as Appendix A. 104 Table 18 Apparent viscosity, pa, of 30% solids chicken batters Apparent Viscosity (Pa 5) Hydrocolloid Concentration (%) Nx 0 7 x a control 0.25 0.5 1.0 Guar 10 1.047 4.67 0.23 0.21 0.50 1.53 30 3.142 14.01 0.16 0.20 0.42 1.23 50 5.236 23.35 0.14 0.20 0.40 1.15 70 7.330 32.69 0.14 0.21 0.39 1.02 90 9.425 42.04 0.13 0.21 0.38 0.94 Average 50 5.236 23.35 0.16 0.21 0.42 1.17 Xanthan 10 1.047 4.67 0.23 0.54 1.58 3.83 30 3.142 14.01 0.16 0.40 1.00 2.19 50 5.236 23.35 0.14 0.36 0.83 1.70 70 7.330 32.69 0.14 0.35 0.75 1.45 90 9.425 42.04 0.13 0.34 0.69 1.30 Average 50 5.236 23.35 0.16 0.40 0.97 2.09 CMC 10 1.047 4.67 0.23 0.28 0.30 0.52 30 3.142 14.01 0.16 0.18 0.26 0.49 50 5.236 23.35 0.14 0.15 0.21 0.48 70 7.330 32.69 0.14 0.15 0.23 0.47 90 9.425 42.04 0.13 0.15 0.22 0.46 Average 50 5.236 23.35 0.16 0.18 0.24 0.48 105 Table 19 Apparent Viscosity, pa, of 40% solids chicken batters Apparent Viscosity (Pa 5) NX 0x ya control 1.0% guar 1.0% xanthan 1.0% CMC 10 1.047 4.67 1.61 10.47 10.50 2.55 30 3.142 14.01 1.82 7.53 6.06 2.36 50 5.236 23.35 1.99 6.47 4.92 2.33 70 7.330 32.69 2.11 5.83 4.35 2.29 90 9.425 42.04 2.17 5.36 3.97 2.30 Average 50 5.236 23.35 1.94 7.13 5.96 2.37 106 Table 20 Percent crumb loss, percent cooking 1055, percent coating pickup, percent overall yield, and percent cooking yield of 30% solids chicken batters Adhesion Characteristics %crumb %cooking %coating %overall %cooking Batter loss loss pickup yield yield control 0.78 12.61 13.35C 100.30C 100.74C 0.25%guar 0.66 15.42 17.14c 101.06b'C 101.68C 0.5% guar 0.96 16.29 23.19b'c 105.93b'C 106.90b’C 1.0% guar 0.86 16.04 32.10b 115.20b 116.03b'C 0.25%xanthan 1.01 12.92 24.331”C 110.40b'c 111.46b'C 0.5% xanthan 1.17 14.20 31.34b 112.65b’c 116.87b 1.0% xanthan 1.33 14.21 52.82a 137.27a 138.60a 0.25%CMC 1.02 12.39 14.65c 101.25b'° 102.25c 0.5% one 0.94 12.14 16.36c 103.23b'c 104.22b'c 1.0% cuc 1.05 14.36 20.92b'c 105.60b'C 106.65b’c Any two means in the same column with the same 1etter(s) were not significantly different from each other by Tukey's Test at a - 0.01. 107 Table 21 Percent crumb loss, percent cooking loss, percent coating pickup, percent overall yield, and percent cooking yield of 40% solids chicken batters Adhesion Characteristics %crumb %cooking %coating %overall %cooking Batter loss loss pickup yield yield control 0.58b 14.46b 24.30C 109.24b 109.83b 1.0% guar 1.028'b 21.73a 53.76a 130.99a 132.01a 1.0% xanthan 1.55a 14.92b 48.03""’b 131.578 133.113 1.0% CMC 1.16a 18.62a’b 35.44b'C 115.698'b 116.82a’b Any two means in the same column with the same 1etter(s) were not significantly different from each other by Tukey's Test at a - 0.01. 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