DETERMINATION OF OXYGENATION RATES 1N PORK, BEEF. AND LAMB BY MUNSELL ANS} REFLECTANCE COLORIMET RY Thais. fu- tho Degree of M. S. MlQ'flGAN STATE UNNERSITY Martin Charies Haas 1963 v” This is to certify that the thesis entitled DETERMINATION OF OXYGENATION RATES IN PORK, BEEF, AND LAMB BY MUNSELL AND REFLECTANCE COLORIMETRY presented by Martin Charles Haas has been accepted towards fulfillment of the requirements for M.S. degree in Food Science /§7/éa/TZZD /Major professor Date-.MagL 28; 19 63 0-169 LIBRARY Michigan Sm: University ABSTRACT DETERMINATION OF OXYGENATION RATES IN PORK, BEEF, AND LAMB BY MUNSELL AND REFLECTANCE COLORIMETRY by Martin Charles Haas An experiment was conducted to determine the rate of oxygenation known in the meat industry as "blooming" using the langissimus dorsi (L.D.) muscle of pork, beef, and lamb. The rate studies were made by Munsell Calorimetry and the ‘ Gardner Color Difference Meter. The procedure involved making an initial reading an a cross section of the L.D. followed by readings at fifteen minute intervals up to two hours an park and lamb and three hours on beef. Maximum oxygenation was consi- dered to be the color evaluation at twenty-four hours. Upon obtaining Munsell hue, value, and chroma renotations by disk calorimetry, conver- sions were made to Index of Fading. Color Difference Meter measurements were interpreted by aL, aL/bL ratio, and total light difference. Accor- ding ta Index of Fading, 87% of the color change in park occurred in one hour. In beef, 45% of the color change was obtained in one hour, 74% in two hours, and 90% in three hours. In lamb, 67% of the change occurred in one hour and 95% in two hours. According to reflectance, 55% of the color change in park occurred in one hour based on change of aL. In beef, 74% of the change occurred in one hour, 88% in two hours, and 96% in three hours. In lamb, 78% of the change occurred in one hour and 86% in two hours. Several useful relationships were found employing Munsell and re- flectance calorimetry. In reflectance, aL was shown to compare closely Martin Charles Haas with total light difference on a percent color change basis. Thus, the use of aL as an indication of color change eliminates the labor involved in calculating \éLz +40 aLz + AtbLZ. A highly significant negative car- relatian was also found between Index of Fading of the Munsell system and aL of the Gardner system. Therefore, aL could be used as indication of oxygenation rates. DETERMINATION OF OXYGENATION RATES IN PORK, BEEF, AND LAMB BY MUNSELL AND REFLECTANCE COLORIMETRY By MARTIN CHARLES HAAS A THESIS Submitted to Michigan State University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE Department of Food Science 1963 (F 7 S 7‘“ (‘6 ACKNOWLEDGMENT The author desires to express his appreciation to Lyman J. Bratzler, Professor of Meats in the Department of Food Science for his technical aid, advice, interest, and c00peration facilitating completion of this thesis. The author also wishes to acknowledge Mrs. Beatrice Eichelberger for her c00peration in typing this thesis. Finally, the author would like to eXPIESS‘mOSt sincere appreciation to his parents whose assistance and understanding were unfailing through- out his education. ii TABLE OF CONTENTS INT ROD UCT ION 0 o o o o o o o o o o o 0 REVIEW OF LITERATURE . . . . . . . . . The Identity of Myoglobin . . . . Structure and Composition of Myoglobin . . . . . . . Theory of Oxygenation . . . . . . Factors Determining the Rate of Oxygenation . . . . . Color Measurements as an Analytical Tool . . . . . . EXPERIMENTAL PROCEDURE . . . . . . . . Source of Meat . . . . . . . . . Sampling Procedure . . . . . . . Color Measurements . . . . . . . l. ‘Munsell Disk Calorimetry 2. Gardner Color and 3. SpectrOphotametry . . . Statistical Analysis . . . . . . RESULTS AND DISCUSSION . . . . . . . . Effect of Oxygenation Measured by Effect of Oxygenation Measured by Color Difference Meter the Munsell System Reflectance . . . . Percent Change in Color Due to Oxygenation . . . . . Conversion of Reflectance Data to Munsell Renotations Correlation Between Methods of Color Analysis . . . . Advantages and Limitations to Methods of Color Analysis iii Page 13 20 20 20 20 20 23 24 26 28 28 29 33 42 49 54 Page SUMMARY AND CONCLUSIONS . . . . . . . . . . . . . . . . . . . . 56 BIBL IOGMPIIY . C C O O O O O C C C 0 C C O O O O O O O O O O O O 58 APPENDIX 0 O O O C I O O O O O O O O O 0 I O O O I O O I O O O O 6 2 iv. Table LIST OF TABLES Summarized Munsell calorimetry data for pork, beef, and lamb . . . . . . . . . . . Summarized reflectance data Summarized reflectance data Summarized reflectance data Comparison of percent color reflectance systems . . . . . . . . . . . . . . . . . . Summary of Munsell data obtained by disk calorimetry and by conversion from reflectance for beef . . . . . . . . . Summary of Munsell data obtained by disk calorimetry and for park . . . . . . . . for beef . . . . . . . . for lamb O O O O O O O 0 change between Munsell and by conversion from reflectance for lamb . . . . . . . Correlation of Munsell and reflectance data . . . . . Page 30 34 35 36 39 47 48 50 Graph Relationship Relationship Relationship Relationship Relationship Relationship Relationship of of of of of of of LIST OF GRAPHS Index of Fading with time . . . . . . . 3L with time . . . . . . . . . . . . . percent change in aL with time . . . . percent change Index of Fading with time Index of Fading and 3L in park . . . . Index of Fading and 3L in beef . . . . Index of Fading and 3L in lamb . . . . vi 4O 41 51 52 53 Appendix 1 I I II II II III III III IV IV IV VI VI VI VII VIII Park Park Park Park Park Park Beef Beef Beef Beef Beef Beef Lamb Lamb Lamb Lamb Lamb Lamb data data data data data data data data data data data data data data data data data data LIST OF APPENDIX TABLES obtained obtained obtained obtained obtained obtained obtained obtained obtained obtained obtained obtained obtained obtained obtained obtained obtained obtained by- by by by by by by by by by by by by by by by by by 'Munsell calorimetry . . . . . . 'Munsell calorimetry (continued) 'Munsell calorimetry (continued) reflectance . . . . . .4. . . . reflectance (continued) . . . . reflectance (continued) . . . . 'Munsell calorimetry . . . . . . iMunsell calorimetry (continued) ‘Munsell calorimetry (continued) reflectance . . . . . . . . . . reflectance (continued) . . . . reflectance (continued) . . . . ‘Munsell calorimetry . . . . . . Munsell calorimetry (continued) 'Munsell calorimetry (continued) reflectance . . . . . . . . . reflectance (continued) . . . reflectance (continued) . . . . Correlation of myoglobin concentration and Index of Fading in lamb . Correlation of myoglobin concentration and aL in lamb vii Page 0 62 63 64 65 66 67 . 68 69 7O 71 . 72 73 . 74 75 76 77 . 78 79 80 81 INTRODUCTION Color is an important attribute of meat recognized as a criterion of quality (Bull, 1951). Meat color is known to develop through defin- ite changes depending upon the status of the pigment myoglobin (Brooks, 1929). When initially exposed to the air, a purple red pigmentation is observed due to the presence of myoglobin in its reduced form. After a short time the meat will become increasingly red due to the formation of oxymyoglobin. This process is called oxygenation, which involves the addition of an oxygen atom to the myoglobin (Lavers, 1948). Oxygen- ation is known commercially as "bloom" and is exceedingly important in consumer acceptance. During long exposure to the air, a brown pigment called metmyoglobin is formed which is the result of an electron exchange and is very undesirable in appearance to the consumer (Levers, 1948). There are many factors which influence bloom, including concentration of myoglobin in the tissue, oxygen pressure and penetration, relative humidity, temperature, light, bacteria, and enzymes. The objectives of this investigation were to determine the actual rates of oxygenation of surface pigment in pork, beef and lamb using Munsell Calorimetry and the' Gardner Color and Color Difference Meter. These data can then be employed as a basis for characterizing the color of freshly cut meat. Another purpose was to evaluate the ad- vantages and limitations of these two methods of meat color analysis. REVIEW OF LITERATURE The Identity of Myoglobin The color in meat muscle tissue is primarily due to the pigment myo- globin. According to The Science of Meat and'Meat Products (1960), myo- globin accounts for only 10% of the total iron in the live animal. However, this text also reports that in well bled beef skeletal muscle, approximately 95% of the iron has been determined as myoglobin. The remaining 5% of pigmentation was stated to consist of cytochromes, red heme pigments, vitamin B12 (which contains the same porphyrin ring as the heme but contains cobalt rather than iron) and flavins. 'Morner (1897) presented the first evidence demonstrating the existence of a muscle pigment separate from blood hemoglobin on the basis of a study on muscle extracts from dogs, cattle, and horses. He compared the ab- sorption spectra and showed that there was a slight displacement of myo- globin toward the red part of the spectrum. In 1932 Theorell succeeded in crystallizing myoglobin from horse heart, proving that there was a protein in muscle resembling the hemoglobin of blood but distinct from it. Shenk, Hall, and King (1934) contributed further evidence that muscle and blood pigments were separate entities by use of spectrophoto- metry and reported that the maximum absorption for blood hemoglobin occurred at 517 and 542 mu, while for muscle hemoglobin the similar peaks were at 583 and 543 mu. They also indicated that the myoglobin content in longissimus dorsi of beef could not be correlatedwith hemoglobin con- tent in blood. -3- Structure and Composition of Myoglobin Both hemoglobin and myoglobin are heme-proteins. Schweigert (1956) indicated that a heme protein is comprised of a heme moiety which is an iron containing porphyrin compound attached to a globin protein. The heme consists of four pyrrole rings in the center of which is an iron atom coupled to the four nitrogen atoms. The heme also contains four methyl groups (CH3), two vinyl groups (-CH2 = CH2), two prapionic acid radicals (-CH2 CH2 COOH), and four pyrrole rings (C4H5N) which in combin- ation with the iron comprise the iron porphyrin ring as illustrated below. L N's en... HooC-(flicflg -——'~'(/ [L (E— °CH=CHa chT/ \ = H Hoofrmiullc CCHB The Iron Porphyrin Ring or Heme (Schweigert, 1956) The iron bound in the center of the porphyrin ring has six valences, but only four are connected with the nitrogen atoms of the pyrole. Another valence is bound to the protein component, globin, by means of an imidazoka' group of a histidine molecule in the amino acid chain of the globin. (Ken- drew, 1949). The sixth bond orbital provides for the complexing of an atom which has an electron pair to donate to the iron as stated by Granick and Gilder (1947). Thus, in oxygenation, oxygen is the electron donator. Kendrew (1949) established the physicalshape of a myoglobin molecule as two disks which are 57°A in diameter and 9°A thick, lie parallel to each other, and are separated by a layer of crystallization about 6.6°A thick. Each of the disks is formed by one polypeptide chain folded on itself in four equal sections to form a flat disc of 43°A X 35°A X 23°A, which was determined in Xray analysis by Kendrew (1958). The prosthetic ferroheme is perpendicular to the plane of each disc and extends above and below it. There are many physical constants important in the characterization of myoglobin. Kendrew (1949) established a sedimentation constant of 2.0 X 10-3. Bowen (1948) reported a molecular weight of 16,400, iron content of .323 percent, and isoelectric point of 6.99. The color changes occurring in meat are the result of the three forms of myoglobin and their relative concentrations. These forms include myo- globin (purple), oxymyoglobin (red), and metmyoglobin (brown). The changes of myoglobin have been illustrated by Brown and Tappel (1958), in which the porphyrin ring is symhiized by the four nitrogen atoms of the pyrrole rings. filo I.“ Glob”, GIDLN’I N r N )\ N D |/V \FC/ 0 \ 6/ ad 7" K/v , // all I 3 Ion AV/// §\\\TJ /’ N,//i\\\N \sfiafithHo \M./// Ff:\\hi I (ii [130 oxymyoglobin reduced myoglobin metmyoglobin These authors further observed that the combination of oxygen with myo- globin to form oxymyoglobin was a reversible step and was primarily dependent on high oxygen availability. The formation of oxymyoglobin involved a transfer of an oxygen atom and hence is called oxygenation. At low partial pressures of oxygen, there will be a transfer of electrons and metmyoglobin will be formed. Schweigert (1956) stated that the presence of reducing conditions maintained myoglobin in the reduced state and also converted metmyoglobin to myoglobin. An important factor governing the color of pigment is the valence state of iron. As can be observed, the iron is in the reduced state in myoglobin. In oxymyoglo- bin the iron is also in the reduced ferrous state, but contains more oxygen held.irl loose combination" In metmyoglobin, the iron has been oxidized to the ferric state due to decrease in one electron. Lavers (1948) stated that oxymyoglobin is not an intermediate in the formation of metmyoglobin and has presented the pathway of discoloration as follows: oxymyoglobin ----- -->‘ reduced myoglobin ------ >~metmyoglobin Brooks (1929) affirmed that oxymyoglobin must be dissociated into oxygen and myoglobin before metmyoglobin could be formed. The total pathway of fresh pigment color changes has been determined as follows according to The Science 2f_Meat and Meat Products. -6- oxygenation > Myoglobin 0 L 7" 5ca/wr 61‘ 2 Y Chroma 7' BIZ”? Three dimensional color scale defining hue, value, chroma. Munsell Color Co., Inc. Reprint Munsell Book of Color, page 1 whfie : I007; Reflectance L. /Y€Ucw/ J jec/ / +/ / 4h— —— In.— Three dimensional color scale defining L, aL, bL' Gardner Laboratory, Inc. Reprint Industrial Quality Control (Vol. 17, page 3, 1960). -19- absorbing material determined on the basis of the percent transmission. In order to determine concentration, the Law of Lambert and Beer is em- ployed, which states that the absorbsnce or aptical density is equal to the product of extinction coefficient, photocell length in cm, and con- centration. A complete outline for the determination of myoglobin is presented in the procedure. In addition to the determination of concen- tration of a chromophoric component, the SpectrOphotometer may be used as an indication of purity by plotting wave-length against absorption. EXPERIMENTAL PROCEDURE Source of Meat Pork and beef were obtained from Michigan State University Meat Laboratory and lamb from a local meat distributor. Sampling Procedure The longissimus dorsi muscle was removed from the beef rib, pork loin, and lamb rack and trimmed of most external fat. Color measurements for each muscle were completed within five days. Ten pork loins were sampled in triplicate. Five replications from each of five beef ribs were studied. For lamb, triplicate samples of five single racks were employed. All meat was stored and studied within a temperature variance of 30-36°F, relative humidity of 75-85%, and air movement of 15-20 feet per minute. Color Measurements Surface color of pork, beef, and lamb was determined by Munsell color- imetry and by the 7 . Gardner Color and Color Difference Meter. Oxy- genation was allowed to progress in total darkness except for when color measurements were made. A spectrOphotometric estimation of myoglobin was also performed on lamb. 1. Munsell Disk Calorimetry The Munsell spinning disk evaluation was employed at periodic time intervals and renotated on the basis of hue, value, and chroma. A -20- -21- prepared sample was mounted upon a fitted wooden support before placing on the stand. Thus, a sample was easily removed and replaced while still observing the same region for the successive readings. Voegeli (1952) demonstrated that different areas of a muscle will result in different renotations depending upon the concentration of intramuscular fat and myoglobin concentration of the region. The sample was adjusted so that the top surface was at the same level as the disks, allowing equal view- ing areas. This area was about two cm2 at about 8 3/4 inches from the Optical eye piece base. In evaluating the color of the sample, such fac- tors as the red-yellow relationship, lightness and darkness, and intensity of the color were considered. Since experience was required for the ad- justments of disk combinations, practice trials were conducted on pork, beef, and lamb until satisfactory proficiency was obtained. Although there was a need for as accurate and rapid matches as possible, an exact ‘match could not be made in all cases. For example, the addition of one unit of yellow would change the disk mixture from Slightly deficient in yellow to excessive yellow. In such cases, the lesser units of yellow were taken for renotation. Upon obtaining a satisfactory match of the sample, the percentage areas of the disk mixture were recorded. By know- ing the International Commission on Illumination (I.C.I.) tristimulus values (X, Y, Z) of the individual disks and the number of units used in the match, the Munsell renotation was calculated. The tristimulus values for color were obtained as a weighted percentage of each disk used with the weights being proportional to the disk area (Nickerson, 1958). The following disks were employed. -22- Specifications for Disks used in Munsell Calorimetry Lamb and Beef Pork Color Renotation Prod. # Color Renotation Prod.# Red 5R 4/14 3987 Brown 8YR 6.4/11.2 884 Yellow 5Y 8/12 4848 Red 5R 4/14 3987 Black N1 4174 Black N1 4174 White N8 4757 White N8 4757 Since a rate study on oxygenation of pork, beef, and lamb was con- ducted, a series of readings were taken. The procedure involved an ini- tial observation on a cross section of the muscle followed by readings at fifteen minute intervals for two hours on pork and lamb and for three hours on beef. Maximun oxygenation was considered as the color evalua- tion at twenty-four hours. In order to express color differences in terms of a single number rather than as hue, value, and chroma, a standard color was determined. This involved the direct oxygenation of longissimus dorsi cross-sections of pork, beef, and lamb in a chamber, which was evacuated and filled with pure oxygen. An exposure of two hours in darkness at 32°F was taken as the standard with which air oxygenated samples were compared. The follow- ing standards were used: Standards *Beef 7.0R 4.0/8.0 Lamb 8.4R 3.8/6.5 Park 2.4YR 4.8/5.3 *Established by M. M. Voegeli Ph.D. thesis M.S.U. 1952 -23- After determining the standards, the Index of Fading formula (Nick- erson, 1946) was employed for the determination of color change in terms of a single number. The formula is as follows: I §(2AH) + 60V+ 3110 I Index of Fading C = Chroma of the sample H = Difference in hue between sample and standard V = Difference in value between.sample and standard C = Difference in chroma between sample and standard A plot of Indexes at each time interval was then made to determine the rate of oxygenation. 2. Gardner Color and Color Difference Meter Surface color changes were also studied by the Gardner Meter which records an L value, aL, and bL which correSpond to lightness, redness, and yellowness. Readings were taken at the same time intervals described for Munsell calorimetry. The cross sections of samples were placed on a glass plate (4 x 3 x 1/8 in.) which in turn was placed over an aperture of 15/16 inches with a "large" setting on the ' Gardner Meter. Before reading the samples, the machine was conditioned for at least one-half hour to the following reference plates. The machine was continuously standardized against the reference plate for each sample at each time interval. -24- Reference Plates for Gardner Meter Beef and Lamb Pork L 24.1 53.8 aL 27.4 27.3 bL 12.5 8.5 The differences of the color of each sample at each time interval from the above reference plate were recorded. The color changes in pork, beef, and lamb due to oxygenation were thus traced by the differences in the L, aL, and bL of the Sample from the L, aL , and bL of the reference plate. The changes in color were appraised by aL/bL ratio, total color differ- ence from the standard as expressed by\fih L2 + lgaLZ +-[Xb£2 , or by in- creases in aL (redness). 3. Spectrophotometry A third method employed only for lamb was the total myoglobin present according to a spectrophotometric procedure outlined by Ginger gtflg1. (1954) and modified by Henry (1959). The procedure used was as follows. Duplicate 25 gram aliquots of ground sample were minced in a Waring blendor for two minutes with 100 ml of cold distilled water and centrifuged for 20 minutes at 2500 rpm at a temperature of 34°F. The supernatant was filtered through cotton, which retained muCh of the fat that had risen to the tap of the solution, and adjusted to pH 7.0 with 1 N NaOH. Foreign proteins were precipitated by addition of 25 volumes -25- of saturated basic (pH 8) lead acetate based on volume after neutraliza- tion. This was added at room temperature Since at lower temperatures the protein precipitation is incomplete while at high temperatures (38°C) the myoglobin will also precipitate (Schweigert, 1954). The precipitated solution was allowed to stand for twenty minutes and was then centrifuged for 20 minutes at 2500 rpm. The resulting supernatant was brought to pH 6.6 and the phosphate to 3 M by the addition of solid mono and dibasic potassium phosphate in the ratio of 2.32 males to .68 moles, which preci- pitates hemoglobin and leaves myoglobin in solution. After the third centrifugation of twenty-minutes, the supernatant was filtered through Whatman number 41 H filter paper into a 50 m1 volumetric flask. After removing two ml of the solution, potassium ferricyanide CK3Fe (CN)6)waS addedfat .6'millimoles per liter followed by sodium cyanide at .8 m M/l. Care was taken to insure complete dispersal of each cyanide treatment because the potassium ferricyanide oxidizes all of the myoglobin into metmyoglobin andsodium cyanide reacts with metmyoglobin to form the cyanoderivative, cyanmetmyoglobin. This provided a relatively stable solution which was read at 540 millimicrons and slit width of .Ol-.02 millimeters on the Beckman DU spectrophotometer. The blank consisted of the same reagents and concentrations as the sample. For the purpose of calculations, the extinction coefficient of 11.5 was considered equivalent to that of cyanmetmyoglobin (Drabkin, 1935). A molecular weight of 16,500 for myoglobin was also assumed (Ginger.g£ ‘21., 1954). The following expression was used to convert concentration of myoglobin to milligrams per gram of fresh tissue. -26- (A) Team (c) g; (E) 199 (C) ,9 = (B) 11,500x (D) 25K (F) 80x09 48 9.33K (A) = Molecular weight of myoglobin (B) = Extinction coefficient (C) = Initial 100 m1. H20 + 25 g. sample tissue (D) = 25 grams of sample tissue (E) = 80 ml. of supernatant + 20 ml. basic lead acetate (F) = 80 m1. of supernatant (G) - 48 m1. of supernatant + 2 ml. of cyanide solutions (H) = 48 m1. of supernatant (K) - constant Using the above equation, the concentration of myoglobin in milligrams per gram of tissue can be exPressed by the product of K and the optical density reading. Statistical Analysis The statistical analysis of data included means, simple correlation coefficients, and predicting formulae. The following formulae used in analy- zing these data were obtained from Snedecor (1958). Correlation coefficient NSXY - (@9089. ' r " V[N€x2 - (s 102ij r1 - (SUE Slope of regression line B = NSXY - (S X)_({Y) N2 X‘ - (8)z -27- "Y" intercept A = Y - H i Predicting formula A Y=A+B(X) RESULTS AND DISCUSSION The Effect of Oxygenation Measured by the Munsell Color System Oxygenation appeared to exert two primary effects on the Munsell reno- tation. Hue progressed from the yellow-red region toward the red region as oxygenation increased; Chroma increased in magnitude with reSpect to oxy- genation. Value, during a twentyofour hour period, remained relatively constant. For example, the following changes were observed in park. Maxi- mum hue changed 1.5 units from 7.1 YR to 5.6 YR.in ninety minutes while maximum chroma increased 1.1 units from 2.5 to 3.6 in twenty-four hours. Thus, hue changed relatively rapidly in ninety minutes and then remained constant, while chroma increased more gradually and changed slightly less than hue. Value remained constant at 5.6. Data for beef indicated Similar trends. Hue increased in redness by changing 1.7 units from 2.1 YR to .4 YR.while chroma increased 2.6 units from 3.4 to 6.0 in twenty-four hours. Both hue and chroma changed gradually with reSpect to increasing time of air exposure but chroma changes were far greater than hue. Value remained constant at 3.9. In lamb, hue changed 1.3 units from 2.3 YR to 1.0 YR while chroma increased 2.1 units from 3.4 to 5.5 in twenty-four hoursmfis with beef, both hue and chroma changes were gradual but chroma “was greater. Value re- mained constant at 3.9. When the Munsell renotations were converted to Index of Fading by the Nickerson Formula (1946), oxygenation decreased the Index of Fading propor- tional to time of exposure to the air. Thus, as the Index of Fading decreased, the renotation of the sample more closely approximated the renotation of the -23- -29- standard which had been oxygenated with pure oxygen as described in the procedure. In park, the Index of Fading decreased 3.9 units from 18.7 initially to 14.8 in ninety minutes, which was the time required for maxi- mum oxygenation. For beef there was a decrease of 7.0 units from 22.4 to 15.4. Lamb decreased 5.4 units from 16.3 to 10.9. Therefore, the order of extent of change in Munsell renotation based on Index of Fading due to oxygenation appeared to be beef, lamb, and pork. In Table l and Graph 1 the data obtained are summarized. Means of renotations are based on thirty samples for park, twenty-five for beef, and fifteen for lamb. The Effect of Oxygenation as Measured by Reflectance The . h . Gardner Color and Color Difference Meter was employed to determine change in surface color due to oxygenation using the L, aL, and bL scales. As With the Munsell system, oxygenation affected two criteria of color. As oxygenation increased, the aL readings, corresponding to red- ness, increased extensively. The bL readings, correSponding to yellowness, also increased but to a smaller extent. The L data, indicative of value, remained relatively constant. Most of the change in both aL and bL occurred in the first thirty minutes. Changes in color of a sample were determined by standardizing the color difference meter with standard plates and mea- suring the difference between the sample and the plate in terms of L, aL, and bL. The standard pork plate had the specifications of L.= 68.5, aL = 17.4, and bL = 7.5, while beef and lamb were standardized to L = 24.1, aL a 27.5, and bL = 12.5. -30- m.oH m.n\m.m_mw H.H a.na o.o\m.m m» a. o.mH o.M\n.m mw n.m .mun em -- ---- «.3 ogtaa E- S. .: 3.... . ow- n- nun: m.oH w.m\m.m Mm.m. w.¢H o.m\o.m.mw n.m onH N.aH q.m\m.m my o.H «.5H o.m\a.m_mw w. m.¢a o.m\o.m MM n.m ONH «.ma m.m\a.m.mw H.H m.na m.m\m.m.mw m. m.qa o.m\o.m MM n.m mod ~.HH N.m\m.m m» ~.H m.mH m.m\m.m MM o.~ w.aa m.m\o.m MM o.m om H.~H H.m\m.m my m.H m.wH N.n\m.m MM.H.H H.ma ¢.m\o.m_mw n.m mm n.~a m.¢\m.m MM m.a «.mH m.¢\m.m MM m.H m.mH m.m\o.m my n.m oo ¢.ma n.¢\m.m aw w.H o.o~ o.¢\m.m MM o.H m.mH H.m\o.m.mw o.m me m.¢H m.¢\m.m.mw o.N n.o~ m.q\¢.m MM N.H m.oH m.~\o.m m» H.o om w.mH o.¢\a.m MN n.N m.HN o.q\o.m MM H.N m.nH n.N\o.n mw m.o ma m.oH a.M\m.m aw m.~ «.mm ¢.m\m.m_mw H.N n.wH m.N\h.m mw H.n o Imogene nowumuoaam magnum aoHuMuoaam xiwawmmm aoaumuoamm QEHH mo xmwaH mo xopaH mo xowaH new; moon spam .cewa was «won axuoa you some hpuofianoaoo Hammasz monanaaaam .H oHan I 06- PM; _ 92 has - er M.“ - - wise-E 5 02¢. 3 ‘2- ..- 4 . N M." an “EC. st..- SVNK $0 XQNQH EL on..- t 3:22.- E- T.“ S mLW :1 -32- In pork an increase was observed on the 3L scale of 2.9 units from 5.9 to 8.8 while on the bL scale there was only 2.1 units increase from 8.1 to 10.2 for twenty-four hours. In thirty minutes there was an increase_ of 1.3 units in aL and 1.2 units in bL. The L scale remained relatively constant with a slight downward trend from 42.4 to 40.5. The most exten- sive changes occurred in beef. The aL increased 7.3 units from 14.1 to 21.4 while the bL increased 1.8 units from 9.4 to 11.2. Of these changes, 4.3 units of aL and 1.5 units of bL resulted during the first thirty min- utes. The L scale declined slightly from 25.2 to 24.8 in three hours. Similar but less extensive changes developed in lamb. The aL scale increased 5.0 units from 14.2 to 19.2 while the bL changed 2.1 units from 9.3 to 11.4. In thirty minutes there was an increase of 3.1 units in aL and 1.6 units in bL. The L scale remained constant at 25.0 to 25.5. There are three methods for appraising rate of color change by the Color Difference Meter. These included tracing the change in aL, total light difference expressed by the relationship AEZ = \Asz + A 3L2 + [J bLZ, and the aL/bL ratio. Changes in aL were previously stated to increase with oxygenation. Total light difference decreased as oxygenation increased. It is also important to note that if the percent changes of aL and \/z:\ L2 + A 3L2 + A bL2 are compared, there will be an agreement within 5%. Changes in total light difference in park were too small to be established. In beef there was a totaybhange of 7.4 units from 13.7 down to 6.28 in twenty-four hours. In thirty minutes there was a change of 4.5 units. In lamb a similar decrease was oflserved. A drop of 5.1 units from 13.6 to -33- 8.49 was noted in twenty-four hours with 3.3 units decrease resulting in thirty minutes. A third technique used to evaluate color change is the aL/bL ratio which will increase with oxygenation because aL or redness increased more rapidly than bL, or yellowness. However, changes in aL/bL were small when compared to aL and total light difference. In pork an increase of .155 units from .728 to .863 was observed in twenty-four hours. In thirty minutes there was .046 units increase. Beef indicated an increase of .41 units from 1.50 to 1.91 in twenty-four hours. In thirty minutes there was a .19 unit change. Lamb developed an increase of .15 units from 1.53 to 1.68 with .06 units change occurring in thirty minutes. Little correSpon- dence was found in percent color change between aL/bL and total light difference or aL. All information obtained from the Color Difference Meter is summarized in Tables 2 to 4 and Graph 2. Percent Change in Color Due to Oxygenation Two methods have been applied for the detenmination of rate of bloom- ing or increasing redness of muscle pigment due to oxygenation. Although there is some lack of agreement between data obtained from Munsell Colori- metry and the ' I Gardner Color and Color Difference Meter, it can generally be concluded that blooming is most extensive and rapid in the first hour for pork, beef, and lamb. In this study, maximum bloom was assumed to be the color Specifications obtained by each method after twenty- four hours of exposure to the air in darkness and sealed in a plastic bag to limit moisture loss. The percentage color change was derived in the -34- mowamco unmouom " VWQ 1‘ some as» mo mama: -- -- -- -.mm new. ~.o- m.w a.-a .msa SN o.- m.mm m.m- m.m~ cum. w.m -.w 0.0- on- a.oe oo- -.~e a.m~ o-m. m.m -.- m.oe ONH -.oe m.mm -.~S m.a~ o-m. m.m -.a a.oq moa a.oo a.-a -.Ne e.m~ o-m. m.a -.a e.oa om a.oe -.H¢ -.~o o.a~ o-m. m.m a.a ~.-¢ ma m.-m a.-S N.mm o.m~ waa. q.a n.- m.-¢ oe m.em -.-e a.-m o.a~ Sow. N.m e.a m.-e me -.am m.w m.a¢ e.m~ qua. m.m N.a w.-¢ om m.em o m.qm m.m~ nah. m.m m.e o.~a m- -- -- -- m.m~ maa. -.w m.m a.~a o a 4&me a «an a a... Nam-4+ NE: NE > .3 is .3 fl. a as; sham How sump ooaauooamou vanguaaesm .N o-ama -35- -- -- -- mm.e Hm.- ~.H- q.- a.m~ .mue am ¢.NoH m.em m.mm Hm.o ~m.- o.- H.-N w.a~ ow- e.am N.am -.mm -.e om.- o.- m.o~ m.a~ om- m.aw m.mm a.-m o-.- ow.- o.- n.o~ m.a~ om- m.aw w.mm a.aw -.a em.- o.- m.o~ o.mm mo- m.~m o.am e.mm Na.a mm.H o.-H ~.o~ H.m~ om -.o- o.wa n.0a no.5 ma.- o.- a.a- -.m~ ma m.me N.ma o.aa N-.w an.- o.- m.m- ~.m~ oo m.wm m.we -.ao me.m an.- m.o- o.m- ~.m~ ma m.o¢ e.oo m.wm Nm.m oo.a m.oa ¢.mH m.mm om e.em m.aa m.~a n.o- mo.- a.o- N.a- -.m~ n- -- -- -- a.m- on.- a.- -.a- ~.m~ o .\. SE.- .a mq a as NEQ+ mam-u + v.31) Sea. .3 1a. 1- mean. "qu mowamno unmouom moan 3mm mo mama: Home How muse ooaauooamou mouauaeaam .m manna nu :- nu ¢¢.w mo.H ¢.HH ~.oa o.oN .mp5 am o.ooH o.ww o.ow no.m wo.a o.HH m.wH o.mN oua m.mm m.om o.¢w wH.m no.a o.HH ¢.wH H.mN moa n.0m o.Nw o.ow H¢.m oo.H m.oa N.ma m.m~ om n.0m o.aw o.om mq.m oo.H m.oH N.mH «.mm mm MW m.mn o.om o.mn Hm.o qo.H o.Ha H.ma «.mm oo m.o¢ N.¢n o.Nm Hw.m oo.H a.HH w.na m.m~ ma o.oa o.¢o o.No m.oH mm.H m.0H m.mH q.mm om m.mm o.m¢ o.o¢ m.HH mm.H q.oH «.0H m.m~ ma nu it an o.ma mm.H m.m ~.qH m.m~ o N Anfiio N mq N Am NAQ<+ N-Hmfi <+ NA; JAWS 15 Am A mafia-H .- Sim mowcmno unmouom some awn mo mama: mama you «use oonmuooamou mo~wumfifism .q manna ‘37.- H Gr? ”#2. a lit/7 (MI/Ii of .13 L .1..me -1; “H No P7 For/(1,0 Tin}: In Minutes 7” 10 to! (an m; (to 2%,! n t -33- Munsell system by calculating the Index of Fading from the Nickerson Formula and dividing the difference in index at each time interval from the initial index by the total change in index. Similarly, the percent change in theGardner system.was determined by dividing the difference in aL at each time interval from the initial aL by the total change in aL. In park there was a change of 87% by Index of Fading and 55% by aL in one hour. Munsell calorimetry indicated that a 100% change due to blooming occurred in ninety minutes while reflectance inferred that bloom- ing is much more gradual during a twenty-four hour period. Data from'beef also demonstrated that blooming occurred most rapidly during the first hour as shown by 45% change in Index of Fading and 74% in aL. Both methods agree that at least 90% of the change was produced in three hours. Re- flectance data indicated the rate of change in color to be much more rapid than did Munsell calorimetry for beef. In pork Munsell calorimetry indi- cated a much more rapid change than reflectance. Trends in data for lamb were Similar to that of beef. Reflectance measurements showed that there was a more rapid change than did Munsell calorimetry. The percent change in one hour was 78% by aL as compared to 67% by Index of Fading. Both methods agree that over 85% of the total change resulted in two hours. A conclusion that may be determined from the obtained data is that muscle tissue containing small concentrations of myoglobin required less time to become fully oxygenated than did tissue having higher myoglobin con- tent. Thus pork, lamb, and beef appeared to be the order of least time required to achieve maximum bloom. This is substantiated bijunsell -39- colorimetry as shown by reSpective changes of 87%, 67%, and 45% change in Index of Fading in one hour. Reflectance data showed less conclusive change in percent aL. In Table 5 and Graphs 3 and 4 the percent color changes for park, lamb, and beef are summarized using the same sampling as described in Munsell calorimetry. Table 5. Comparison of percent color change between Munsell and reflect- ance systems Index of Fading 8L, Time Pork % Lamb % Beef % Pork % Lamb % Beef % o -- -- -- -- -- -- 15 36 9 9 34 44 42 30 56 39 24 45 62 59 45 74 53 34 52 72 67 60 87 67 45 55 78 74 75 92 78 59 62 80 77 90 100 85 64 62 80 84 105 98 91 70 62 84 88 120 98 95 74 62 86 88 150 100 -- 85 76 -- 93 180 -- -- 90 -- -- 96 24 hrs. -- -- -- -- -- -- On the basis of the above data, recommendations can be made for ap- timal time to read color as a prediction of final color based on percent change in a reasonable time lapse. The following conclusions were drawn: MS or ha. a» M: kafith “2 uth. Q 0 4 saw I? 19 . u m a u q 3 A‘N) .. 0 6 ecu-t $.3- -m s. - .. u :2? 12.8.5 “-6 Kean-3:- in T... a Be On .2 a 5 u 523 BBC-um 31 Q“... 091 2.... as: - n d - , . .. WH- mm- 3w- »... 3 ms ._ 3 k... Hug 2...: t.- 23-..- \ est. in; AVE 4.. SONS“ u .SR 6 tacit or. 323 E- arth e 2..» Q51 N‘s-sa- w. some.“ n .23 Let-u.- 8. or- k8? -42- 1. Park can be read in thirty minutes by Munsell colorimetry'which will produce a 56% change. 2. Park can be read in forty-five minutes by reflectance which will produce a 52% change. 3. Beef can be read in seventy-five minutes by Munsell calorimetry which will produce a 59% change. 4. Beef can be read in thirty minutes by reflectance which will produce a 59% change. 5. Lamb can be read in forty-five minutes by Munsell calorimetry which will produce a 53% change. 6. Lamb can be read in thirty minutes by reflectance which will produce a 62% change. Conversion of Reflectance Data to Munsell Renotations The Munsell renotation may be determined indirectly by two different methods from data obtained from.the Color Difference Meter. One method involves the conversion of GardnerL, aL, and bL into 1.0.1. tristimulus values (X, Y, Z) by appropriate conversion calculations and using the same I.C.I. chromaticity diagrams employed for Munsell renotations (Davis and Gould, 1955). The second technique employs the conversion of Gardner L into Munsell value and uses diagrams which directly convert aL and bL into hue and chroma (Davis and Gould, 1955). The first method requires the computation of the tristimulus values (X, Y, Z) from Gardner data L, aL, and bL by means of the following equa- tions. Initially, Y is determined. x” if“ (. __ r; fl { E. V—‘H'V -43- L = 100 (yl/Z) or Y - (IUUDZ aL - 175 (1.02 x -+y) yl/2 yl/Z Knowing Y and aL, X is calculated and knowing Y and bL, Z is calculated. The chromaticity coordinates (x, y, z) are computed from the tristimulus values (X, Y, Z) as fractions of their totals as follows. The sum of x, y and 2 must equal one. X Z =———-————— a Y =——-———— X+Y+Z’y X'TYTZ’Z X+Y+Z In order to determine Munsell value, the I.C.I. (Y) equivalents published X by Nickerson (1948) must be consulted. Because data are presented in terms of Yv (%) relative to a standard white magnesium oxide, the Yu' (%) must be divided by 100 to obtain Y from which any specified Munsell value can be determined. Knowing value, x, and y, the Munsell renotation for hue and chroma can be observed from the I.C.I. chromaticity diagrams in the usual manner. In cases where the sample value lies between two values, the usual interpolations must be performed. The second method involves the direct conversion of Gardner-L, aL, and bL readings into'MMnsell renotations. First, L readings are converted to Y by the Gardner equation Y = ($1332. The number obtained for Y is converted to Ytt (%) by multiplying by 100. The correct Munsell value is then obtained from the Nickerson tables. After L is converted to value, the Munsell value is used to determine which chromaticity diagrams to use in order to obtain hue and chroma renotations from Gardner aL and bL readings. In order to facilitate conversion, the hue and chroma renotations of any point which -44- falls within the boundaries of an area established by two hue and two chroma loci are further geometrically subdivided into .5 hue units and .5 chroma units. The Spacing of hue and chroma steps is less uniform in terms of 3L and bL than in terms of the Munsell units because of the con- figuration of the color solid (Younkin, 1950). If the value obtained lies between two values, the hue and chroma renotations from the two ap- proPriate diagrams must be interpolated as in the Munsell system. De- tailed conversions and diagrams are presented by Davis and Gould (1955). MacGillivray (1931) reported a comparison of data obtained by direct renotation of Munsell hue, value, and chroma with data derived from re- flectance L, aL, and bL based on tomato color. His conclusions were: 1. ‘Munsell hues obtained directly were considerably more red than hues calculated fram Gardner readings. 2. ‘Munsell chromas obtained directly were considerably higher than chromas calculated from Gardner readings. 3. Munsell values were approximately the same as values calculated from Gardner readings. The above statements were based on nominal Munsell notations before the ”Study of Spacing of the Munsell system was made by a subcommittee of the calorimetry committee of the Optical Society of America." (Davis and Gould, 1955). Now more precise charts and tables are available constitu- ting the definition of the Munsell system in smoothed I.C.I. chromaticity diagrams. In addition to Spacing of charts, Gould (1955) has reported several other factors which will effect renotation conversion. Instrumen- tal illuminating conditions in the Color Difference Meter effect the L, -45- aL, and bL obtained, which effect the conversion. Also, different read- ings will result from small and large aperture size. Large area illumin- ation Spreads the light from the light source over the entire aperture in a relatively diffuse manner. Small area illumination concentrates the light in a small Spot allowing greater possibility of light loss due to lateral dispersion. There is also the chance of obtaining readings in localized areas which are not representative of the whole by use of the small aperture. According to data obtained on beef and lamb, results appeared to be directly apposite to MacGillivray (1931). The following trends were ob- served in data derived directly from renotation of Munsell hue, value, and chroma in comparison to conversion from reflectance L, aL, and bL using the large aperture and constant illumination. 1. Munsell hues were more yellow-red or less red than converted hues from Gar/dner readings. 2. Munsell chromas were lower than chromas obtained from conversion of Gardner readings. 3. ZMunsell value units were higher, or whiter, than value converted from ‘Gradner readings. 4. Index of Fading approximately correSponded between the two methods when based on the same standard index of fading. Since all samples were viewed by the photocell through a glass plate described in the procedure, an attempt was made to calibrate the error caused by the glass plate. This was done by standardizing the machine with the reference plate L = 24.1, 3L = 27.4, and bL - 12.5. The glass plate was then placed over the aperture and the reference plate placed -46- on tap of the glass. The mean of readings taken through the glass were L - 21.9, aL - 21.9, and bL = 11.1. The effect of the glass was to de- crease L by 2.2 units which corresponds to a dr0p of .3 value units when converted to the Munsell system. There was also a drOp of 5.5 aL units and 1.4 bL units due to the glass. This caused an approximate loss in redness of .4 R units hue, and a decrease of 1.6 units chroma when con- verted an a value diagram of 3. Thus the effect of the glass was to decrease L, aL, and bL readings which decreased value, redness, and chro- ma. Therefore, the glass accounted for much of the difference established in the data between the Munsell renotations derived directly by disk calorimetry and by conversion from reflectance. An attempt was made to convert reflectance readings in park to the Munsell system but changes were considered too small. In Tables 6 and 7 the results obtained for beef and lamb are summarized for the conversion of reflectance data to the Munsell Color System using the second method of conversion. In Table 6 the changes in beef color due to oxygenation were record- ed for both the original Munsell renotation obtained by disk calorimetry and converted Munsell renotation derived by the Color Difference Meter. Comparative Indexes of Fading and percent color changes based on Indexes of Fading are also presented. Initially the original Munsell renotation was 2.1 YR 3.9/3.4 as compared to 1.1 YR 5.0/4.7 for the converted reno- tation. Thus, the original renotation was found to be more yellow-red or less red in hue, higher in value, or whiter, and lower in chroma or less intense than the converted renotation. Both renotations were converted -47- o.m\o.q m 0.5 so amass mama sow ma-ewa mo saunas nn nn m.NH o.o\o.m M N.m nu «.ma o.o\m.m MM a. .muc «m mm mm m.NH m.o\o.m M N.m om N.©H o.o\m.m MM 0. owH mm aw N.wH q.o\o.m M m.m am ~.NH o.m\a.m MM.w. ONH aw NN N.ma m.o\o.m M 0H #0 m.NH m.m\m.m MM o.H om an we m.oH N.o\o.m MM mm. ma N.mH o.¢\m.m MM m.H Co on ma m.o~ m.m\o.m MM m. «N N.om m.¢\m.m MM N.H om nn nu o.m~ N.¢\o.m_MM H.H un ¢.~N ¢.m\m.m MM H.N o owamso #wavam nowumuQWoH owaano swafimmm nowuauoaou oEHH N Am udaouom mo MomaH daemon: udaouom mo xonaH Hammasz some ooamuooamon mouuo>aoo numn Havana: Hmawwwuo moon Ham ooamuooamou Baum dowmuo>aoo Me was Mauoouam moaawuno muse HHomasz mo Mumaeam .S «Heme m.o\w.m M ¢.m no woman mama Ham magnum mo NonnHa - nu m.oH m.o\o.m_MM o. nu m.OH m.M\m.m.MM M.H .mun am M 8 mm 0.: 0636. as. a. ma «.2 S336 as o; 8- ow mm w.HH m.m\o.m MM 0. mm N.HH N.m\m.m.MM N.H om MN an o.NH m.m\o.m MM N. No N.~H m.¢\a.m MM m.H on mm mm m.mH N.m\o.m.MM m. on M.SH m.¢\m.m MM.o.N om nu nn H.mH N.¢\o.m_MM o.H nu m.oH a.M\m.m.MM m.~ o owmmno ewaammm Gowumuonon awnmao swawnmm aoHuauoaoH mafia N as udoouom mo wonaH daemon: uaoonom mo MomaH Manama: aumn ooamuooamon mauso>aoo mumn Masada: Hmaflwwuo band you ooamuooamon Baum aowmuo>aoo MA was Mauoouwv monwauoo some Hamma:z_mo Managua .N manna -49- to Index of Fading using the same reference index which resulted in approx- imately“ the same index at each time interval for the two methods. For example, initially the original index was 22.4 while the converted index was 23.6. The percent color changes were also compared and indicated that from ninety minutes to three hours there was an agreement of within 13%. For example, in ninety minutes the original Munsell data indicated a 64% change while the converted L, aL, and bL data showed a 77% change based on percent change of Index of Fading. The percent change in aL was 84%. In Table 7 the results for lamb are summarized, which were found to closely parallel those for beef.Again, the original renotation for hue was more yellow-red, value was higher, and chroma was lower than the con- verted renotation. For example, the original initial renotation was 2.3 YR 3.9/3.4 while the converted renotation was 1.0 YR 3.0/4.7. As with beef, close correSpondence was obtained between Indexes of Fading as shown by 16.3 for the original Munsell renotation as compared to 15.1 for the converted L, aL, and bL renotation based on the same standard Index of Fading. Close correSpondence was also obtained within 12% for the percent change of color between the methods. For example, the original percent change in one hour was 67% as compared to 74% by the converted method. The correSponding percent change in aL was 78%. Correlation Between Methods of Color Analysis 1. Correlation between reflectance and Munsell systems. Rikert (1956) indicated that it is desirable to express color as a single number and conducted a survey to determine whether meat color -50- on the Gardnermeter correlated significantly with Munsell renotation. Since value in the Munsell system is practically indentical to L in the Qfinémr system, he attempted no correlations on value. He found that aL showed a highly significant correlation with both hue and chroma on fresh ground meat. Also, bL showed a significant correlation only with chroma. Since 3L significantly correlated with hue and chroma, he stated that it seems to qualify as a satisfactory index of the color of fresh meat. Using data obtained from the Munsell and Gardner systems, correlations were determined between Index of Fading and aL in pork, beef, and lamb. Highly significant negative correlations were obtained by comparing the Index of Fading and aL at each time interval during the oxygenation study. A correlation of -.881 was found for park based an eleven time intervals. A correlation of -.922 was found for beef based on twelve time intervals. A correlation of -.922 was found for lamb based on ten time intervals. Thus, there is a highly significant negative correlation between Index of Fading of the Munsell system and aL of the Gardner system. In Table 8 and Graphs 5 to 7, the information on correlation is summarized. Table 8. Correlation of Munsell and reflectance data Pork Beef Lamb Correlation coefficient -.881 -.922 -.922 Slope (B) -1.540 -l.009 -1.247 "Y" intercept (A) 27.30 38.13 . 34.95 Predicting formula Y=27.3-1.54(X) Y=38.l-1.01(X) Y=34.9-l.25(X) Level of signifi- cance 1% 1% 1% -5]- m pl, .47 film/ex 0F Fat/1M} ".88! . P13 1 9: 27.30-titan.) u 2L 6 1 . are In at; Rel flomhif as Ina/ex us Fa/n‘nn 3m, 91. in P0 K 396 '- \l “51‘ Gra h #6 a Relahbwhi of inn/ex aF a/I'n ana’ 91,1» 36: 1»ch .F -I7 =-.‘72R 3 9.1- 1.0! (an) n-lb 3(- 0 I17 I! If a‘o 3| 3 a GM )1 #7 0 36/ (EMS/790.019 . .76 ill/ex 0F F244» and a. in 1.2 b -n: but Index of Fan/in .n: i ._ -ua, = an: ”H 9‘: 3m;— Hitch) 3L J- , | -54- 2. Correlation between Munsell and spectrophotometric calorimetry Same attempts have been made to correlate the Munsell and spec- trophotometric methods of analysis. Butler (1953) studied relation be- tween Index of Fading and percent metmyoglobin in fresh beef and found the correlation coefficients ranged from .830 to .882. Townsend (1958) found a correlation on frozen beef of .777 to .930 between Index of Fading and percent metmyoglobin. Henry (1959) found a correlation coeffi- cient of .69 on pork between Index of Fading and total myoglobin. In limited research conducted on lamb, the results of the present study indicate a non significant correlation of .596 between Index of Fading and total myoglobin. This study was based on five trials comparing the total myoglobin by the Ginger (1954) procedure as modified by Henry (1959) with the Index of Fading obtained from different lamb samples at the initial reading. A correlation of .604 was obtained between initial aL in reflectance and total myoglobin on lamb an the basis of five trials. Advantages and Limitations to Methods of Color Analysis There are many advantages and limitations in the Munsell system of calorimetry. Advantages include simplicity of apparatus, no effect from electrical power fluctuations, inexpensiveness of apparatus, no sample preparation, and the evaluation of surface color. Disadvantages include human judgment in matching the disks with the sample, disagreement between Operators on what is a match, length of time required to match while sam- ple color is changing, alteration of color on disks due to air exPosure and use, inability to replace disks with exactly the same color Specifi- cation, aperator fatigue, operator training, and labor and time needed -55- to renotate. The ' Gardner Color and Color Difference Meter also has many advantages and limitations. Advantages include quick and precise measure- ments, no Operator fatigue, impartial objective basis for judgment in "borderline diSputes", small sample preparation, and no aperator training. Limitations involve increase in error as Specification of color in sample differs from the reference plate, "Metameric colors" or the same color yielding different color data on the same instrument, some variance between instruments, electrical fluctuations in the power line serving the poten- tiometer, dependence on a complicated apparatus that may be difficult to service, and error due to the reflection of glass on tap of which the sample is placed for readings. According to the Gardner Laboratory ser- vice bulletin (G6550), instrumental precision is comparable to the small- est perceptible color difference discernible by the trained eye of a human color matcher. This is usually considered to be about .2 - .3 NBS (Nation- al Bureau of Standards Uhits). This service bulletin also stated that the same reference plate will have a variance of .3 NBS units between instruments. A third method of color analysis applied only to lamb was Spectr0pho- tametry. Advantages for Spectrophotometry include the elimination of human judgment error, sample homogeneity, and an estimation of the rela- tive percentages of reduced, oxy-, and metmyoglobin involved in meat color. Disadvantages are labor required for sample preparation, greater .possibility for procedure variance, and incomplete fractionation of myo- globin during isolation. SUMMARY AND CONCLUSIONS A study was conducted to determine the oxygenation rates of pork, beef, and lamb by the Munsell Calorimetry and the ' Gardner Color and Color Difference Meter. On the basis of data obtained, recommendations can be made for the time required to read color after one half of the color change has occurred due to oxygenation. By Munsell Calorimetry, pork may .be read in thirty minutes, beef in seventy-five minutes, and lamb in forty-five minutes. By reflectance, pork may be read in forty-five‘min- utes, beef in thirty minutes, and lamb in thirty minutes. The effect of oxygenation on the methods of color analysis was also reviewed. In the Munsell system, oxygenation appeared to increase the red- ness of hue and to increase chroma while value remained constant. In the Gardnersystem, oxygenation appeared to extensively increase 3L which car- hresponds to redness. Also, bL, corresponding to yellowness, was increased to a lesser degree. The L readings indicative of value, remained constant. An attempt was also made to convert the Gardner system into the Munsell sys- tem. Original Munsell renotations appeared to be more yellow-red, or less red in hue, higher in value, or whiter, and lower in chroma than the con- verted Gardner renotations. Indexes of Fading between the two methods seemed to correspond very closely. Several highly valuable relationships were found between Munsell and reflectance calorimetry. In reflectance, aL was shown to compare closely with total light difference on a percent color change basis. Thus, the use of aL as an indication of color change eliminates the labor involved -56- -57- _in calculating \fA L2 + AaL2 + AbLz. Also, a highly significant nega- tive correlation was found between Index of Fading in the Munsell system and aL in the Gardner system. Therefore, aL could be used as an indication of rate of oxygenation. BIBLIOGRAPHY Beckman Instruction Manual 305A. 1957. Scientific Instruments Division, Fullerton, California. Bray, R. W., Rupnow, E. H., Hanning, F. M}, Allen, N. N. and Niedermeier, R. P. 1957. Effect of feeding methods on veal production and carcass quality. 11. Carcass grades, liver, hide, Specific gravity, yield and chemical analysis of the muscle. J. of An. Sci. 18:732- 737. Bowen, W. J. 1948. Notes on myoglobin preparation and iron content. J. Brooks; J. 1929. Post-marten formation of met-haemoglobin in red muscle. Biochem. J. 23:1391-1400. Brooks, J. 1931. The oxidation of haemoglobin to methaemoglobin by oxy- gen. Proc. Roy. Soc. London SB 109:35-50. Brooks, J. 1935. The oxidation of haemoglobin to methaemoglobin by oxy- gen. II. The relation between the rate of oxidation and the partial pressure of oxygen. Proc. Roy. Soc. London SB 118:560-577. Brooks, J. 1948. The oxidation of haemoglobin to methaemoglobin by oxy- gen. J. Phys. 107:332-335. Brown, W. D. and Tappel, A. L. 1958. Pigment-antioxidant relationships to meat-color stability. Proc. of 10th Res. Conf. pp 81-89. Bull, 8. 1951. Meat for the Table. McGraw-Hill Book Company, Inc. Butler, 0. D. 1953. Same causes and measurement of color changes in fresh retail beef cuts. Unpublished Ph.D. thesis. 'Michigan State University, East Lansing, Michigan. Davis, R. B. and Gould, W..A. 1955. A proposed method for converting Hunter Color Difference Meter to Munsell hue, value, and chroma renotations corrected for Munsell value. Food Tech. 9:536-39. Drabkin, D. L. and Austin, J. H. 1935. Spectrophotometric studies. II. Preparations from washed blood cells; nitric oxide hemoglobin and sulfhemoglobin. J. Biol. Chem. 112:51-65. Fruton, J. S. and Simmonds, S. 1959. General Biochemistry Pages 173-177. John Wiley and Sons, Inc. New York. -53- -59- Giffee, J. W., Urbin, M. 0., Fox, J. B., Landmann, W3 A. Siedler, H. J. and Sliwinski, R. A. 1960. Chemistry of animals tissues. Proteins. In American Meat Institute Foundation. The Science 2f_Meat and Meat Products. Pages 88-93. San Francisco, Calif. W. H. Freeman and Company. Ginger, 1. D., Wilson, G. D., and Schweigert, B. S. 1954. Biochemistry of myoglobin. Quantitative determination in beef and pork muscle. Agr. and Food Chem. 2:1037-1038. Granisk, S. and Gilder, H. 1947. Distribution, structure, and proper- ties of the tetrapyrroles. Adv. in Eng. 7:305-308. Grant, N. H. 1955. The reSpiratory enzymes of meat. 1. Identification of the active enzymes. Food Res. 20:250-253. Henry, W. E. 1959. The effect of mineral supplementation on the color and myoglobin concentration of pork muscle. Unpublished thesis for M.S. ‘Michigan State University, East Lansing, Michigan. Gardner Laboratory Instruction Manual for Color-Difference Meters Bulletin CG-6550 Gardner Laboratory, Inc., Bethesda l4, Md. Kampschmidt, R. F. 1955. Meat discoloration. Effect of wavelength of light on discoloration of cured meats. J. Agr. and Food Chem. 3:510-512. Kendrew, J. L. 1959. Structure and function in myoglobin and other proteins. Fed Proc. 18:740-751. Kendrew, J. L., Bodo, G., Dintyis, H. M., Parrish, R. G., wyckoff, H., and Phillips, D. C. 1958. A three-dimensional model of the myoglo- bin molecule obtained by x-ray analysis. Nature 181:662-666. Kraft, A. A. and Ayres, J. C. 1954. Effect of display case lighting on color and bacterial growth on packaged fresh beef. Food Tech. 8: 290-295. Lavers, C. G. 1948. Discoloration of packaged red meat. Modern Pack- aging 21(5):125-127. Lawrie, R. A. 1950. Some observations on factors affecting myoglobin concentrations in muscle. J. Agr. Sci. 40:356-366. Lawrie, R. A. 1953a. The activity of the cytochrome system in muscle and its relation to myoglobin. Biochem. J. 55:298-305. Lawrie, R. A. 1953b. The relation of energy-rich phoSphate in muscle to myoglobin and to cytochrome-oxidase activity. Biochem. J. 55: 305-309. -60- Lemberg, R., and Legge, J. W. Hematin Compounds and Bile Pigments. (Interscience, New York), 1937. Livingston, G. E. 1959. Food calorimetry: key to quality control. Food Eng. 31 #3: Food Eng. 31 #4: MacGillivray, J. H. 1931. Tomato color as related to quality in the tomato canning industry. Purdue University Agr. Exp. Sta. Bull. No. 350. Millikan, G. A. 1939. Muscle hemoglobin. Phys. Rev. 19:503-523. Morner, K. A. 1897. Beobachtungen uber den muskel-farstoff. Nord Med. Arkiv. 30:1-8. Neill, J. M. and Hastings, A. B. 1925. The influence of the tension of molecular oxygen upon certain oxidations of hemoglobin. J. Biol. Chem. 63:479-492. Niedermeier, R. P., Allen, N. N., Lance, R. D., Rupnow, E. H., and Bray, R. W. 1959. Effect of feeding methods on veal production and carcass quality. 1. Rate of cain, stomach capacity, vitamin A, iron and hemoglobin values. J. of An. Sci., 18:726-731. Nickerson, D. 1946. Color Measurement and Its Application £g_the Grad- ing of Agricultural Products. U.S.D.A. Publication 580. Ramsbottom, J. M., Goeser, P. A. and Shultz, H. W. 1951. How light discolors meat. What to do about it. Food Indus. 23:120-124. Ramsbottom, J. M. and Koonz, C. H. 1941. Freezer storage and tempera- ture as related to drip and color in frozen-defrosted beef. Food RES. 6:571-5800 Rikert, J. A. 1952. Color changes of fresh meats as influenced by some antioxidants, temperature, and atmOSphere variations. Rutgers Uni- versity Thesis. Rikert, J. A. 1957. Factors affecting quality of prepackaged meat. 11. Color studies A. Effect of package characteristics upon color of product. Food Tech. 11:520-525. Robach, D. L. and Costilow, R. N. 1961. Role of acteria in oxidation of myoglobin. Appld. Microbial. 9:529-533. Schweigert, B. S. 1954. Quantitative chemical measurements of myoglobin. Proc. Seventh An. Reciprocal Meat Conf. 77-80. Schweigert, B. S. 1956. Chemistry of meat pigments. Proc. of the Eighth RES. Confo Of AoMoIoFo 61-650 -6l- Shenk, J. H., Hall, J. L., and King, H. H. 1934. Spectrophotometric characteristics of hemoglobin. 1. Beef blood and muscle hemoglobin. J. Bio. Chem. 105: 741-752. Snedecor, G. H. 1957. Statistical Methods. 5th ed. The Iowa State College Press, Ames, Iowa. Theorell, H. 1932. Kristallinisches Myoglobin. Biochem. 272:1-7. Townsend, W. E. 1958. Effect of temperature, storage conditions and light on the color of prepackaged frozen meat. Unpublished Ph.D. Thesis, Michigan State University, East Lansing, Michigan. Voegeli, Marvin M. 1952. The measurement of fresh beef muscle color changes by disc calorimetry. Unpublished Ph.D. thesis, Michigan State University, East Lansing, Mdchigan. Younkin, S. G. 1950. Color measurement of tomato purees. Food Tech. 4:350. APPENDIX -62- 0.HH ¢.M\N.m MM 0.0 m.¢H w.m\0.m MM H.0 ¢.wa 0.M\N.0 MM w.m .mHM am m.mH q.m\~.m MM «.0 m.¢H M.M\0.m MM H.0 m.ma m.m\~.0 MM 0.0 omM o.MH N.m\N.m MM m.0 n.0H w.m\0.m MM H.0 N.mH m.M\N.0 MM N.m oma o.mM N.m\N.m MM m.0 0.0H m.m\0.m MM.0.m a.NM n.M\N.0 MM m.m moH M.NM w.m\N.m MM w.n 0.0M N.M\0.m MM 0.0 m.NM m.m\N.0 MM m.m om m.MM N.m\M.m MM N.m H.0H N.m\0.m MM M.0 o.wH ¢.m\~.0 MM m.m mm w.HH m.M\H.m MM N.m 0.0H a.M\0.m MM H.0 N.wM m.m\N.0 MM m.m O0 «.ma M.M\H.m MM m.0 0.0M N.M\0.m MM N.0 o.ma o.M\N.0 MM 0.0 00 ¢.ma o.m\M.m MM m.0 0.0M o.M\0.m MM 0.0 m.mM o.m\~.0 MM «.0 on 0.0M m.N\H.m MM w.0 m.0M m.~\0.n MM 0.0 m.om m.m\m.0 MM 0.0 ma 0.0H ¢.N\N.m MM m.0 m.NH N.N\0.m MM m.N a.H~ n.N\N.0 MM o.N o wawnmm aoHHMuoomM waaumm noaumuoaoM weavmm aoHuMuoaoM aEMH mo MoncH mo ManaH mo MomsH m oaeemm N oaaamm H oaeemm M neon MHuoEMHoMoo Manama: Mn manwmuno mumm Muam .H Mansona< -63- N.~M ~.¢\0.0 MM H.0 N.0H 0.0\0.0 MM N.0 H.0M 0.m\0.0 MM 0.0 .muc em 0.0M M.e\0.0 MM 0.0 0.0M 0.0\0.0 MM 0.0 0.0a m.0\0.0 MM 0.0 00M 0.0M H.¢\0.0 MM 0.0 0.0M 0.0\0.0 MM 0.0 0.0M a.m\0-0.MM «.0 00M 0.0M 0.0\0.0 MM 0.0 0.0- 0.m\m.0 MM 0.0 0.0M a.0\0.0 MM «.0 00M 0.0M 0.m\0.0 MM 0.0 0.0M 0.m\0.0 MM 0.0 0.0M ¢.0\0.0 MM 0.0 00 0.0M 0.m\0.0 MM 0.0 0.0M 0.0\m.0 MM 0.0 0.0M 0.m\0.0 MM 0.0 0N 0.0M 0.m\0.0 MM 0.0 0.0M 0.m\0.0 MM 0.0 H.0M m.m\0.0 MM N.0 00 0.0M 0.0\0.0 MM 0.0 0.0M ¢.m\0.0 MM 0.0 0.0M M.0\N.0 MM 0.0 00 0.0M M.m\0.0 MM «.0 0.0M M.m\0.0 MM M.0 ¢.NM 0.~\N.0 MM 0.0 00 0.00 0.~\0.0 MM 0.0 0.0M 0.~\¢.0 MM 0.0 0.0M 0.~\N.0 MM N.0 0H «.mM N.~\0.0 MM e.N 0.NM ¢.~\0.0 MM 0.N 0.0M 0.~\N.0 MM 0.N 0 magnum nowumuoaaM wdfinmm coaumuoaaM moanmm GowumuoaaM mafia mo MonaH mo MonaH mo MonaH m «Magma N man-saw - Ens-mm H aaog Neoaawuaoov Muuoaauoaoo daemon: Mn naaHMuno aumn Maom .H Mamaaem< -54- 92 M.S..- MM N; S: mime MM 0.0 2: 0.03.0 M» 0.0 . .30 SN N.HN N.m\0.0 MM 0.0 0.0M 0.0\N.0 MM N.0 N.0H 0.¢\H.0 MM 0.0 00H N.HN N.m\0.0 MM 0.0 0.0a 0.0\~.0 MM N.0 N.0M 0.¢\H.0 MM 0.0 00M 0.MN N.m\0.0 MM 0.0 0.0a 0.0\N.0 MM N.0 N.0M o.q\a.0 MM 0.0 00H N.MN ¢.m\0.0 MM N.0 0.0a 0.M\H.0 MM H.0 0.NH ~.¢\H.0 MM 0.0 00 N.HN ¢.0\0.0 MM N.0 N.0H 0.0\H.0 MM H.0 0.NM ~.¢\H.0 MM 0.0 0N 0.H~ 0.0\0.0 MM N.0 0.0M 0.0\M.0 MM 0.0 ~.0H 0.0\H.0 MM 0.0 00 T: 0.30.0 MM 50 «.3 0.02.0 MM 0.0 0.3 502.0 MM 50 0.- ¢.NN 0.m\0.0 MM 0.0 «.00 0.N\H.0 MM 0.N 0.0M 0.0\H.0 MM 0.N 00 0.00 0.N\0.0 MM 0.N 0.0m N.N\H.0 MM 0.N o.o~ N.0\H.0 MM 0.N 0H H.dm 0.N\0.0 MM ¢.N 0.H~ N.N\N.0 MM ¢.N ~.HN o.m\~.0 MM m.N 0 magnum nowumuoaoM .wdammm nowumuoaaM wawwmw nowumuoamM oeHH mo MonnH mo MonaH mo NanaH m aHMEmm N oHMEmm M oHMEmm 0 £004 AnomaHMMOOV MHuoEHHoHoo Haamnnz Mn nofiwmuno mumm MHOM .H Mamaomma -65- Appendix II. Pork data obtained by reflectance Sample 1 Sample 2 Sample 3 Time L aL bL L aL bL L aL bL Loin H 0 45.1 7.7 8.8 46.3 7.2 8.2 47.6 8.7 9.1 45.3 7.9 9.1 45.7 6.7 8.3 47.8 8.0 10.0 15 44.4 9.6 10.4 44.7 9.2 9.9 47.3 9.8 10.2 44.6 9.6 10.5 43.9 7.0 10.0 47.4 9.6 10.2 30 44.2 9.7 10.2 44.8 9.6 10.1 46.4 9.7 11.5 44.1 9.8 10.4 44.1 9.5 10.2 47.0 9.6 11.6 45 44.2 9.9 10.4 43.6 9.3 10.2 46.4 10.1 11.4 43.8 10.0 10.4 43.3 9.2 10.2 46.2 9.9 11.4 60 45.4 10.2 10.2 44.5 9.6 10.4 43.9 12.7 11.5 44.4 10.1 10.2 43.9 10.5 10.6 45.5 11.2 11.6 75 45.4 10. 10.7 43.8 10.3 10.3 43.5 12.8 11.5 44.1 10.1 10.6 43.4 10.0 10.5 45.5 11.0 11.8 90 46.4 9.6 10.3 43.9 10.4 10.5 44.7 11.6 10.2 44.2 9.8 10.8 43.8 10.5 10.6 45.0 11.6 11.6 105 45.3 9.6 10.2 42.9 9.8 10.6 44.9 12.0 11.8 43.4 9.7 10.2 42.4 9.8 11.0 45.0 11.1 12.0 120 45.4 10.1 10.3 42.7 10.0 10.5 44.6 10.5 11.8 44.9 9.6 10.4 42.4 9.8 10.4 41.5 11.7 12.0 150 45.1 11.1 10.7 44.2 11.5 10.5 44.9 11.2 11.8 44.1 11.1 11.3 42.7 11.5 10.8 41.3 12.0 12.0 24 hrs. 46.5 11.2 11.1 45.7 12.3 11.1 42.2 11.1 11.0 44.9 11.2 11.3 44.6 12.3 11.1 44.7 9.1 11.0 -66- Pork data obtained by reflectance (continued) Appendix II. Sample 2 Sample 3 Sample 1 aL aL Time Loin I 41.6 0 60 40.4 40.5 10.0 10.0 105 0 2 1 150 24 hrs. -67- Pork data obtained by reflectance (continued) Sample 3 1e 2 aL Sa Sample 1 Appendix II. bL aL bL bL aL Time Loin J 27 99 38 99 105 65 O 99 120 150 -68- ¢.¢H 0.0\N.m M 0.0 0.0a 0.0\0.m MM m.H 0.NM M.0\o.¢_MM H.H «.ma 0.0\¢.m MM N. 0.0a N.0\o.¢_MM H. .mnM 0N ¢.¢H 0.0\N.0 M 0.0 «.0H m.0\0.m MM 0.H 0.NM H.0\o.¢ MM H.H «.ma 0.0\¢.0.MM N. 0.0a N.0\o.¢_MM H. 00H ¢.¢H 0.0\N.0 M 0.0 N.0M 0.0\0.m MM 0.H 0.NH H.0\o.e MM H.H 0.NH 0.0\¢.0 MM N. 0.0a N.0\o.¢ MM H. 00H 0.0a 0.0\N.m M 0.0 H.0M H.0\0.m MM 0.H 0.NH H.0\0.¢ MM H.H 0.0M M.0\0.m MM 0. 0.0M 0.¢\o.¢ MM H. ONH 0.0M N.0\N.m M 0H 0.0M N.¢\0.m MM 0.H 0.NH H.0\o.¢.MM H.H 0.0M H.0\0.m MM 0. 0.0M 0.¢\o.¢ MM N. 00H 0.0a N.0\N.m M 0H 0.0M N.¢\0.0 MM 0.H 0.NH o.0\o.¢ MM 0.H N.0H o.0\¢.m.MM m. 0.0a 0.¢\o.¢ MM N. 00 0.NH N.¢\N.m M .0.0 N.0H 0.¢\0.0 MM 0.M 0.NM o.0\o.e MM.0.H 0.0M o.0\¢.m MM 0. 0.0a N.¢\o.¢.MM a. 0N 0.NH 0.¢\N.m M. 0.0 H.0N 0.¢\0.m MM 0.N H.0H q.¢\o.¢ MM N.H 0.0a 0.0\¢.0.MM 0. 0.0M 0.¢\o.¢ MM 0. 00 0.0M ¢.¢\N.m MM 0. 0.0N N.¢\0.m MM 0.H 0.0M N.¢\o.¢ MM 0.M 0.0N 0.¢\0.m MM 0. 0.0M ¢.¢\0.m MM 0. 0e 0.0M N.¢\0.m MM 0. N.HN 0.m\0.0 MM 0.H 0.0N H.q\o.¢ MM 0.N 0.HN H.¢\0.m MM o.M 0.0M H.¢\0.m MM ¢.H om 0.0N 0.0\0.m MM 0. N.NN 0.m\0.m MM 0.N 0.HN 0.0\H.q MM 0.N 0.NN 0.0\¢.m MM ¢.M 0.0M N.0\o.¢ MM 0.H 0H 0.HN N.0\0.m MM 0. 0.NN M.0\0.m MM H.m N.mN H.0\N.¢ MM 0.N n.0N H.0\¢.0_MM ¢.H M.MN 0.0\H.¢ MM 0.H 0 M 00M magnum MOMMMMOGaM waammm nowumuonaM weanmm :oaumuoaaM magnum nowumMOGMM magnum SOHMMMOMMM 0809 u mo 00 00 mo 00 MonaH MovaH MonaH NonaH ManaH 0 camewm a oaaewm 0 mamaam N oaaewm M oaaewm Pi MauoEHHoHoo Manama: Mn noaMMuno dune moon .HMH MaeemMMM -69- 0.0a 0.0\0.m MM 0. N.0H ¢.0\0.0 MM 0. 0.0M N.0\N.0 MM N. 0.0M N.0\H.¢ MM N. 0.0M 0.0\N.¢.MM N.H .MMM 0N 0.0a 0.0\0.0 MM 0. 0.0a N.0\N.0 MM 0. 0.0M N.0\N.m MM.N. H.0M 0.0\M.0_MM N. N.0M 0.0\N.¢ MM N.M 00M 0.0M 0.0\0.0 MM 0. 0.NH H.0\N.m MM 0. N.0M 0.0\N.0 MM 0. N.NM ¢.0\M.¢ MM H.H N.0H 0.0\N.a MM N.M 00M 0.NH q.0\0.0.MM 0.M 0.NH 0.0\N.m MM 0.M M.0M H.0\0.0 MM M.M 0.0M 0.0\M.¢ MM.0.H N.0M N.0\N.¢ MM_¢.H 0NM 0.0a H.0\0.m MM N.M 0.NH 0.0\N.0 MM H.M 0.0M N.0\0.m MM m.M 0.0M 0.e\M.¢ MM 0.H 0.0M 0.¢\N.¢ MM N.M 00H 0.0M 0.¢\0.m MM 0.M 0.NH 0.0\N.0 MM H.H 0.0M 0.0\N.m MM N.M 0.0M 0.¢\H.d MM 0.M 0.0M 0.0\N.¢ MM N.M 00 H.0M H.0\0.m MM 0.H 0.0M 0.0\N.m MM N.M H.0M N.0\N.0 MM 0.H 0.0M 0.¢\H.e MM 0.H 0.0M N.¢\N.u MM N.H 0N 0.0M q.e\0.0 MM 0.M N.0M 0.0\N.m MM N. 0.HN ¢.0\0.0 MM 0.N N.0N e.¢\H.e MM 0.N 0.0M N.¢\N.¢ MM N.H 00 H.MN 0.0\N.m MMO.N H.0H 0.¢\N.m MM 0.H 0.HN 0.0\0.m MM 0.N N.MN H.¢\H.¢ MM 0.N ¢.0N 0.¢\N.¢ MM H.N 00 o.«« «.a\0.m MM 0.« 0.0« m.e\a.m MM e.M m.m« m.a\0.m MM m.« M.M« o.a\M.e MM 0.« 0.0« m.e\«.e MM «.« 0m 0.«« o.e\0.m MM o.m a.-« «.e\«.m MM m.M M.m« 0.e\0.m MM o.m 0.«« 0.M\M.e MM «.m M.«« «.M\m.e.MM o.« 0M 0.0N 0.0\N.m MM N.N 0.0N N.0\N.m MM 0. 0.0N 0.0\0.m MM 0.N H.0N N.0\M.¢ MM 0.0 0.0N m.0\¢.¢ MM N.N 0 o nHM uwuaemm aoaumuoaaM mainmm 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Lamb data obtained by reflectance (continued) Sample 1 Sample 2 Sample 3 Time L aL bL L aL bL L aL bL Rack E 0 27.1 14 5 25 7 14.7 . 15 26.8 17.8 30 26.7 18.4 11.5 25.2 17.4 10.2 25.2 17.0 10.0 45 27.0 18.6 11.6 25.7 18.4 11.2 24.9 17.8 11.0 60 26.5 18.8 11.4 26.0 18.9 11.3 24.9 18.7 11.0 75 25.3 19.1 10.8 25.2 18.9 11.3 24.7 18.9 11.3 90 26.1 19.5 11.7 24.7 18.7 11.1 24.6 18.9 10.3 105 24.5 18.7 10.3 25.2 19.0 11.1 24.5 18.3 10.9 120 26.1 19.8 11.6 24.9 19.1 11.0 24.1 18.3 10.9 24 hrs. 27.5 20.5 12.6 26.1 20.3 11.3 26.3 19.9 11.0 -79- Appendix VI. Lamb data obtained by reflectance (continued) .Sample 1 Samp1e 2 Sample 3 Time L aL bL L aL bL L aL bL Rack F 0 25 3 14.0 9 3 23.3 13.7 9 0 25.0 14.3 9.5 23 9 13.9 9.2 23.3 14.1 8.8 24.3 14 1 9.3 15 24.3 15.4 9 6 24 2 15.7 10.0 24.8 16 8 10.4 23 6 15 3 9 7 24 6 16.2 10.2 24 2 16 5 10.3 30 25.2 16.8 10.8 23.8 16.7 10.4 25.0 17.7 11.0 24.6 16 6 10.5 24.5 17.0 10.6 24 8 17.7 11 0 45 25.5 17.5 11.2 24.3 17.5 10.8 24.7 18.3 11.0 60 23.8 17.3 10.6 23.8 18.1 10.7 24.9 18.9 11.1 75 24.2 17.7 10.0 25.6 18.4 10.6 23.9 17.4 10.5 90 24.8 18.3 10.3 25.0 17.3 10.0 25.1 19.0 10.5 105 23.9 17.5 i. 120 23.5 18.4 10.2 24.5 18.5 10.5 24.8 19.8 11.1 0 O .2 O O 24 hrs. 25.4 19.3 11.2 24.7 19.7 11.3 25.7 20.0 11.6 -30- Appendix VII. Correlation of myoglobin concentration and Index of Fading in lamb. Rack No. Index of Fading Myoglobin (mngg;l 2 14.7 ' 1.66 3 15.8 2.67 4 16.8 2.55 5 18.3 3.29 6 15.9 3.20 g x2 = 1335.67 g Y2 = 37.45 g x = 81.5 g Y - 13.37 (2 x)2 = 6642.25 ( S Y)2 = 178.75 g xy = 220.515 (S xxg Y) = 1092.10 N = 5 N S x2 - (f x)2 = 6678.35 - 6642.25 = 36.10 N S Y2 - (g Y)2 = 187.25 - 178.75 = 8.50 N 5 XY = 1102.57 Nf XY - (S X)(€ Y) = 1102.57 - 1092.10 = 10.47 _N€xy- (z xxiY) r‘flNéXl- <2 XVJLNEYZ- <22?) 10.47 (36.10)(8.50) ‘ '596 -31- Appendix VIII. Correlation of myoglobin concentration and aL in lamb. Rack No. aL ‘Myoglobin (mg./g.) 2 14.0 1.66 3 14.7 2.67 4 14.1 2.55 5 14.1 3.29 6 14.0 3.20 r = .604 a. i M USE 0* .yt’ L 3' i I- .. It I' if" V” 7 MICHIGAN STATE UNIVERSITY LIBRARIES 0 3062 0516 3 1293