: :L ht .1 Ah. V . ur‘ .‘uJ... A LA. .423. .6. .s,...‘....m._\5....:- . i “All .. ..._.,.. \ u . .1. 3:53.32. ‘ . _...:..;.,..n:..w‘..Evaswww.,..., Ismvé Aura. . sunny-x . «93?. .n ‘ é. .. a . 2 , B . .71. . r , = .1. ..i . {$1 T Haiti}. .1 3.. H. . :5. i J US$91: V u f ‘ “rim Kl .u 7A,: :12. hm??? .. «Pam This is to certify that the thesis entitled THE CHARACTERIZATION OF AUTOMOBILE BODY FILLERS presented by SARA CHRISTINE MCNORTON has been accepted towards fulfillment of the requirements for the MASTER OF degree in FORENSIC SCIENCE V" Major Profeis ?’s Signature V 4/5 07 Date (II/mi ‘3 @2750 MSU is an Affirmative Action/Equal Opportunity Institution " v v ‘v v v ' w. «v -—-—-—- ._—-— ‘_ -—~.. ‘ LIBRARY Michigan State University PLACE IN RETURN Box to remove this checkout from your record. To AVOID FINES return on or before date due. MAY BE RECALLED with earlier due date if requested. DATE DUE 1 DATE DUE DATE DUE 6/01 c/CIRC/DateDuepssopJ 5 THE CHARACTERIZATION OF AUTOMOBILE BODY FILLERS BY Sara Christine McNorton A THESIS Submitted to Michigan State University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE Department of Criminal Justice 2004 digs-re idem: 3 Her bOG‘y Valde- exam ABSTRACT THE CHARACTERIZATION OF AUTOMOBILE BODY FILLERS By Sara Christine McNorton Body fillers and spot putties are sometimes encountered with paint evidence from hit-and-run accidents in forensic casework. It is a challenge for the forensic scientist to attempt to Classify and compare the body fillers since no research has been published on the subject since 1986 when Walsh, et al. compared body fillers in New Zealand. The objective of this study was to determine if chemical and physical differences in body fillers from various manufacturers existed and could be identified. A Perkin-Elmer Spectrum One FTIR Spectrometer, a stereoscope and a Hewlett Packard 5890 Series II Gas Chromatograph were used to analyze the body filler and spot putty samples. The results of this study are of significant value because they will provide useful data for trace evidence examiners when examining body fillers. Extensive research was done to obtain a complete sample of light-weight automobile body fillers and spot putties used in the United States. After all the samples were identified, thirty-three were Obtained. Twenty-four of the samples were body fillers and nine were spot putties. Nine different companies were identified as the manufacturers of these 33 samples. ""v '-" and s heip.’ the M thank: 0V8 a tying LI‘IOC' Ifge~ ACKNOWLEDGMENTS I would first like to acknowledge Guy Nutter for your interest, enthusiasm and support for this project. You have been a great source Of knowledge and help! Thanks also to Cheryl Lozen and Guy Nutter for making my internship with the Michigan State Police a valuable learning experience and fun too! Additional thanks goes to Dr. Siegel, for your ongoing support, encouragement and care. A final thanks to my family, friends and to Phil, who have provided ongoing love and support. I appreciate you putting up with me, especially during my trying times! I could have not done as well with my Master’s and this project without you! Lastly, thank you to the Midwest Association of Forensic Science (MAFS) for generously providing the funding for this project. iii grind-:1.“ I. . r LIS~ LIS‘ INT: MAT; TABLE OF CONTENTS LIST OF TABLES .................................................................................. vi LIST OF FIGURES ............................................................................... vii INTRODUCTION ................................................................................... 1 Purpose Of this research ................................................................. 2 Review of the Literature .................................................................. 2 Body filler and spot putty composition ................................................ 3 Introduction to the techniques .......................................................... 4 MATERIALS AND METHODS .................................................................. 6 Sample preparation ....................................................................... 6 Fourier Transform Infrared Spectroscopy ........................................... 7 Aging Study ........................................................................ 8 Hardener Study ................................................................... 8 Bench v. Microscope Study .................................................... 9 Sample Analysis .................................................................. 9 Blind Study ....................................................................... 10 VIsible Microscopy ....................................................................... 10 Pyrolysis Gas Chromatography ...................................................... 11 RESULTS .......................................................................................... 12 Fourier Transform Infrared Spectroscopy ......................................... 12 Aging Study ...................................................................... 12 Hardener Study .................................................................. 12 Bench v. Microscope Study .................................................. 20 Sample Analysis ................................................................ 20 Blind Study ....................................................................... 34 VIsibIe Microscopy ....................................................................... 35 Pyrolysis Gas Chromatography ...................................................... 36 Overall Summary ........................................................................ 42 DISCUSSION ...................................................................................... 43 CONCLUSIONS AND FUTURE RESEARCH ............................................. 45 SUGGESTED PROTOCOL .................................................................... 46 APPENDICES ..................................................................................... 48 APPENDIX A: Fourier Transform Infrared Spectra .............................. 49 APPENDIX B: Pyrolysis Gas Chromatograms ................................... 83 iv Tat Tat.- Tat LIST OF TABLES Table 1: The body fillers and spot putties used for the analysis ........................ 7 Table 2: Results from the blind study ........................................................ 34 Table 3: The results from all 3 analysis techniques, showing the groupings for each sample .............................................................................. 42 vi Figure Pilate LIST OF FIGURES Figure 1: FTIR Spectra Results from Aging Study ....................................... 14 Figure 2: FTIR Spectra Of the Pink Hardener Group .................................... 15 Figure 3: FTIR Spectra of the Blue Hardener Group .................................... 16 Figure 4: FTIR Spectra of the Dark Red Hardener Group .............................. 17 Figure 5: FTIR Spectra Of Bondo with 4 Hardeners ...................................... 18 Figure 6: FTIR Spectra Of Bondo with 3 Hardeners ...................................... 19 Figure 7: FTIR Bench v. Scope Comparison Spectra ................................... 21 Figure 8: FTIR Representative Spectra from Group 1 .................................. 22 Figure 9: FTIR Representative Spectra from Group 2 .................................. 23 Figure 10: FTIR Representative Spectra from Group 3 ................................. 24 Figure 11: FTIR Representative Spectra from Group 4 ................................. 25 Figure 12: FTIR Representative Spectra from Group 5 ................................. 26 Figure 13: FTIR Representative Spectra from Group 6 ................................. 27 Figure 14: FTIR Representative Spectra from Group 7 ................................. 28 Figure 15: FT IR Representative Spectra from Group 8 ................................. 29 Figure 16: FTIR Representative Spectra from Group 9 ................................. 30 Figure 17: FTIR Representative Spectra from Group 10 ............................... 31 Figure 18: FTIR Representative Spectra from Group 11 ............................... 32 Figure 19: FTIR Representative Spectra from Group 12 ............................... 33 Figure 20: pyGC Representative Chromatograph from Group 1A ................... 37 Figure 21: pyGC Representative Chromatograph from Group 18 ................... 38 Figure 22: pyGC Representative Chromatograph from Group 2 ...................... 39 vii Figure 23: Figure 24: Figure 25: Figure 26: Figure 27: Figure 28: Figure 29: Figure 30: Figure 31: Figure 32: Figure 33: Figure 34: Figure 35: Figure 36: Figure 37: Figure 38: Figure 39: Figure 40: Figure 41: Figure 42: Figure 43: Figure 44: Figure 45: pyGC Representative Chromatograph from Group 3 ..................... 40 pyGC Representative Chromatograph from Group 4 ..................... 41 FTIR Spectra Of U.S.C. Quality Light-weight Feather-rite ................ 50 FTIR Spectra of U.S.C. Premiere Light-weight ............................. 51 FTIR Spectra Of U.S.C. Basecoat/CIearcoat Extra ......................... 52 FTIR Spectra of U.S.C. Light-weight Kromate Light ....................... 53 FTIR Spectra of 3M Light-weight ............................................... 54 FTIR Spectra of Marson Body Light ........................................... 55 FTIR Spectra of Bondo ............................................................ 56 FTIR Spectra of Marson White Fill ............................................. 57 FTIR Spectra of Marson Platinum Premium Light-weight ................ 58 FTIR Spectra of Marson Golden Extra ........................................ 59 FTIR Spectra of Evercoat Rage Gold ......................................... 60 FTIR Spectra Of Evercoat Light-weight ....................................... 61 FT IR Spectra of Evercoat Chrome-a-Lite .................................... 62 FT IR Spectra of Evercoat Rage ................................................ 63 FTIR Spectra of Evercoat Z-Grip .............................................. 64 FT IR Spectra Of Evercoat Tack Free ......................................... 65 FT IR Spectra of DuPont Final Fil .............................................. 66 FT IR Spectra of Dynatron Ultimate Premium Light-weight ............. 67 FT IR Spectra of Dynatron Ultragrip ........................................... 68 FTIR Spectra Of U.S.C. Easywhite Lite ....................................... 69 FTIR Spectra of U.S.C. Blue Ice ............................................... 70 viii Figure 46: Figure 47: Figure 48: Figure 49: Figure 50: Figure 51: Figure 52: Figure 53: Figure 54: Figure 55: Figure 56: Figure 57: Figure 58: Figure 59: Figure 60: Figure 61: Figure 62: Figure 63: Figure 64: Figure 65: Figure 66: Figure 67: FTIR Spectra Of 3M Premium Body Filler Gold QBA ..................... 71 FTIR Spectra Of 3M Zebra Tack Free Light-weight ........................ 72 FTIR Spectra of 3M Premium Light-weight .................................. 73 FTIR Spectra of PPG Red Oxide ............................................... 74 FT IR Spectra Of Evercoat Ever-Glaze and Spot Putty .................... 75 FTIR Spectra of Bondo Glazing & Spot Putty ............................... 76 FTIR Spectra of Nitrostan Red Spot & Glayze Putty ...................... 77 FTIR Spectra Of Dynatron Glazing & Spot Putty ............................ 78 FT IR Spectra Of 3M Acryl Green Spot Putty ................................. 79 FT IR Spectra Of Marson Spot & Glazing Putty .............................. 80 FTIR Spectra Of Nitrostan Green Spot Putty ................................ 81 FT IR Spectra of Nitrostan Grey Spot Putty .................................. 82 pyGC Chromatograph of U.S.C. Quality Light-weight Feather-rite....84 pyGC Chromatograph of U.S.C. Premiere Light-weight .................. 85 pyGC Chromatograph of U.S.C. Basecoathlearcoat Extra ............. 86 pyGC Chromatograph of U.S.C. Light-weight Kromate Light ........... 87 pyGC Chromatograph of 3M Light-weight .................................... 88 pyGC Chromatograph of Marson Body Light ................................ 89 pyGC Chromatograph Of Bondo ................................................ 90 pyGC Chromatograph of Marson White F "I .................................. 91 pyGC Chromatograph of Marson Platinum Premium Light-weight....92 pyGC Chromatograph of Marson Golden Extra ............................ 93 ix Figure 68: pyGC Chromatograph of Evercoat Rage Gold ............................. 94 Figure 69: pyGC Chromatograph of Evercoat Light-weight ............................ 95 Figure 70: pyGC Chromatograph of Evercoat Chrome-a-Lite ......................... 96 Figure 71: pyGC Chromatograph of Evercoat Rage .................................... 97 Figure 72: pyGC Chromatograph of Evercoat Z-Grip ................................... 98 Figure 73: pyGC Chromatograph of Evercoat Tack Free .............................. 99 Figure 74: pyGC Chromatograph Of DuPont Final Fil ............................... 100 Figure 75: pyGC Chromatograph of Dynatron Ultimate Premium Light-weight.101 Figure 76: pyGC Chromatograph of Dynatron Ultragrip .............................. 102 Figure 77: pyGC Chromatograph of U.S.C. Easywhite Lite .......................... 103 Figure 78: pyGC Chromatograph of U.S.C. Blue Ice .................................. 104 Figure 79: pyGC Chromatograph of 3M Premium Body Filler Gold QBA ......... 105 Figure 80: pyGC Chromatograph of 3M Zebra Tack Free Light-weight ........... 106 Figure 81: pyGC Chromatograph of 3M Premium Light-weight ..................... 107 Figure 82: pyGC Chromatograph of PPG Red Oxide ................................. 108 Figure 83: pyGC Chromatograph of Evercoat Ever-Glaze and Spot Putty ....... 109 Figure 84: pyGC Chromatograph of Bondo Glazing & Spot Putty .................. 110 Figure 85: pyGC Chromatograph of Nitrostan Red Spot & Glayze Putty ......... 111 Figure 86: pyGC Chromatograph of Dynatron Glazing 8. Spot Putty .............. 112 Figure 87: pyGC Chromatograph of 3M Acryl Green Spot Putty ................... 113 Figure 88: pyGC Chromatograph of Marson Spot & Glazing Putty ................ 114 Figure 89: pyGC Chromatograph of Nitrostan Green Spot Putty ................... 115 Figure 90: pyGC Chromatograph of Nitrostan Grey Spot Putty .................. 116 ISIS? bet CIT"; ind. . Of 3' mpg INTRODUCTION Interest in the field of forensic science is becoming more popular and scientists are constantly looking for new types of evidence to characterize from scenes Of crimes. Since criminals are becoming more aware of the presence and use of fingerprints and DNA as individual evidence, they are becoming more conscientious about not leaving that type of evidence behind. Thus, trace evidence is becoming more and more important as it is this evidence that is left behind that may seem insignificant to the criminal, but may eventually lead to circumstantial proof that she or he could have committed the crime in question. Automobile body fillers have been used extensively in repair shops and by individuals to aid in fixing minor body damage that may have occurred as a result of an accident. Since the bond between the filler and the metal pieces of the car is relatively weak, pieces of filler are usually removed along with adhering paint Chips in traffic accidents (Home et.al, 1980). Through multiple conversations with body repair shop mechanics, it was determined that the light-weight brands of body fillers are used most commonly due to their prevalent use in repairing damage to the metal in automobiles. Other degrees Of fillers are commercially available (heavy-weight), but were not studied here due to the fact that they are mostly used to repair damaged plastic parts. In addition, a new trend was learned from the body repair shops, which is to replace a damaged part with a plastic one, rather than fixing the damage to the metal with automobile body filler. This information is relevant to the trace evidence examiner as the prevalence of automobile body filler encountered in casework will be less, however, if it is encountered, it could be considered as unique evidence. W The purpose Of this project was to propose an analysis scheme for analyzing an unknown body filler or spot putty sample. Since this type of evidence is considered Class evidence, the best way to Classify it into the smallest group as possible is to use an analysis scheme comprising multiple analysis tools, since an individualization will never be possible. The idea for this project originated from examining cases involving automotive paint with body filler attached to it. In the past 15 years with advances in technology, product compositions have changed greatly. Since no studies have been done in the United States on attempting to characterize body fillers and spot putties, the author wanted to start a new study which incorporated as many different body fillers and spot putties that currently existed on the market today. Review of the Literature An extensive search of the literature for recent articles that have attempted to characterize vehicle body fillers was done and only 3 articles dating back to 1980’s were found. First of all, Cleverley in New Zealand proved that by examining the color and infrared spectrum of 12 body fillers, the brand of the filler could be identified (Cleverley, 1970). In 1980, Home etal. studied automobile body fillers from Britain by comparing the results Obtained through color, pyrolysis gas chromatography (pyGC) and X-ray fluorescence analysis in order to provide a systematic scheme 8V8 usir. for their analysis. This study found that their 18 manufacturers’ samples could be split into 5 smaller groups by examining their color variation. Analysis using pyGC showed that they all produced different pyrograms. In addition, the use of X-ray fluorescence gave an indication of the heavier inorganic elements, which could be used as an additional discrimination technique (Home et.al, 1980). Lastly, Walsh eta]. looked at 37 different formulations of body filler available in New Zealand from 12 different manufacturers and surveyed them using SEM-EDAX, visible microspectrophotometry, infrared spectrometry (IR) and density. Nearly all of the samples of the different formulations could be discriminated using this analysis scheme. This study found that SEM-EDAX was the most powerful, single analysis tool. Density and visible microspectrophotometry showed good discrimination with IR having the least discriminatory ability (Walsh et al, 1986). Body Filler and Sm: Pm Comgition The majority of body fillers that were used in this study were comprised of 5 main components; polyester resin, talc, styrene, titanium dioxide and glass/silica bubbles. The polyester resin is a proprietary formulation determined by the manufacturer. It comprises the majority of the filler. Talc is used primarily as filler, which aids in the sanding down process. Upon addition of the hardener (comprised mainly of benzoyl peroxide), cross-linkage occurs between the styrene and polyester resin, producing a 3-dimensional polymer. Titanium dioxide is present in order to increase the opacity of the hardener and to give an indication of the uniformity achieved when the hardener and filler are being mixed (Home etal, 1980). Finally, Iighteners may be added which serve to decrease the density of the final product. Examples Of these low weight, high volume Iighteners are quartz, silica and glass bubbles (Walsh et al, 1986). The spot putties that were examined were comprised of a variety of different components. However, there were two main components that were seen in all of the spot putties; talc and xylene. The purpose of the talc, as mentioned above, is used as a filler to aid in the sanding process. Xylene is used as a solvent to help keep the spot putty in its liquid-like form inside of the tube until it is ready to be used. Introduction to the Techng' ues Three different analysis techniques were chosen based on their usefulness for analyzing body filler and spot putty samples. These techniques Chosen are also commonly used in crime laboratories. Fourier Transform Infrared Spectroscopy (FTIR) is employed in the analysis of small paint samples, textile fibers, particulate explosive material and low dosage drugs by identifying the class of compounds present within a specimen. By exposing the sample to light in the infrared region (4000-500cm"), the interaction of the light with the bonds between the atoms in a specimen can be measured. The bonds in the sample attain a higher state of vibrational energy by absorbing this radiation. The absorbances are detected by an infrared spectrophotometer, which produces a spectrum showing the intensity of the absorption of the infrared light at each wavelength. One limitation of FTIR is that is has a limit of detection of 5%. This means that substances that are present in the specimen of less than 5% of its total weight may not be detected, if this substance is not totally miscible in the rest of the specimen mixture. Since automobile body fillers and spot putties contain several organic components, FTIR was chosen because it can distinguish between the organic components in each of the samples (Saferstein, 1993 & Kirkbride, 2000). VIsible microscopy was also chosen for this study because it is a simple, non-destructive technique, which yields discriminating results for many trace evidence samples. All forensic science laboratories have stereoscopes, making it very useful as part of the protocol in the body filler and spot putty analysis. Pyrolysis Gas Chromatography is useful for analyzing substances that do not have sufficient vapour pressure at the normal operating temperature of the gas Chromatograph (300°C) such as hairs, fibres, paints and adhesives. Due to their polymeric nature, automobile body fillers and spot putties are prime candidates for analysis by pyGC. In pyGC analysis, the sample is heated under controlled conditions to temperatures around 1000°C, causing the sample to break apart into its smaller, constituent molecules. These molecules elute from the column at Characteristic times and amounts. PyGC was chosen for this research project due to its sensitivity in detecting small changes in polymer composition, which may differ between samples from different manufacturers (Cirimele, 2000). MATERIALS 8 METHODS Sample pgparation A standard protocol was used for the preparation of the body filler and spot putty samples for all of the studies that were performed on all of the instruments. Manufacturer’s instructions were followed in preparation for the 24 body filler samples, which were the same for all of the samples; 2% hardener by weight added to every sample of body filler. The can containing the body filler was opened and the filler was stirred. Approximately 1.009 of body filler was weighed out along with approximately 0.029 of red hardener (see results from hardener study). The filler and hardener were mixed together and spread as a thin layer onto a microscope slide. The slide was placed in a fume hood and allowed to dry for at least 30 minutes. For the 9 spot putty samples, a small amount of the spot putty was placed on a wooden stick and spread onto a microscope slide in a thin layer. The prepared slide was then placed in a fume hood and allowed to dry for at least 30 minutes at room temperature. Table 1: The body fillers and spot putties used for the analysis BODY FILLER # MANUFACTURER PRODUCT NAME 1 U.S.C. QUALITY LIGHT-WEIGHT FEATHER-RITE 2 U.S.C. PREMIERE LIGHT-WEIGHT 3 U.S.C. BASECOAT/CLEARCOAT EXTRA 4 U.S.C. LIGHTWEIGHT KROMATE LIGHT 5 3M LIGHT-WEIGHT 6 MARSON BODY LIGHT 7 BONDO BODY FILLER 8 MARSON WHITE FILL 9 MARSON PLATINUM PREMIUM LIGHT—WEIGHT 10 MARSON GOLDEN EXTRA 11 EVERCOAT RAGE GOLD 12 EVERCOAT LIGHT-WEIGHT 13 EVERCOAT CHROME-A—LITE 14 EVERCOAT RAGE 15 EVERCOAT Z-GRIP 16 EVERCOAT TACK FREE 23 DUPONT FINAL FIL 24 DYNATRON ULTIMATE PREMIUM LIGHT-WEIGHT 25 DYNATRON ULTRAGRIP 26 U.S.C. EASYWHITE LITE 27 U.S.C. BLUE ICE 28 3M PREMIUM BODY FILLER GOLD QBA 32 3M ZEBRA TACK FREE LIGHT-WEIGHT 33 3M PREMIUM LIGHT-WEIGHT SPOT PUTTY # MANUFACTURER PRODUCT NAME 17 PPG RED OXIDE 18 EVERCOAT EVER-GLAZE AND SPOT PUTTY 19 BONDO GLAZING & SPOT PUTTY 20 NITROSTAN RED SPOT 8. GLAYZE PUTTY 21 DYNATRON GLAZING 8: SPOT PUTTY 22 3M ACRYL GREEN SPOT PUTTY 29 MARSON SPOT & GLAZING PUTTY 30 NITROSTAN GREEN SPOT PUTTY 31 NITROSTAN GREY SPOT PUTTY Fourier Transform Infrared Smoscopy The Perkin-Elmer Spotlight Fourier Transform Infrared Spectrophotometer (FTIR) was used for a number of preliminary studies as well as to compare the Chemical compositions Of all Of the body fillers and spot putties. Aging Study- F TIR Microscope The purpose of this study was to determine if the chemical composition of the body fillers and spot putties Changed over specific time intervals. The results of this study are used to determine how long a sample would produce reliable results, after it had been prepared. In order to perform this study, one type of body filler was chosen; Bondo. The Bondo sample was prepared according to manufacturers’ directions (as mentioned above). After specific time increments had passed, a small amount of the body filler was scraped off the slide, flattened and placed onto the FT IR salt plate, for analysis. This method was conducted on samples at the following intervals: 30 minutes (estimated drying time as suggested by the manufacturer) 60 minutes 24 hours 5 weeks The spectra were analyzed to compare peaks and determine if any of the spectra Changed over time. The sample of Bondo was stored at room temperature, on an analysis bench in between the time intervals. Hardener Study- F TIR Microscope The purpose of this study was to determine if differences existed between the different colors and manufacturers of the various hardeners used in body filler preparation. All 19 hardeners were prepared by putting a small amount on a wooden stick and spreading a thin layer onto a microscope slide. The hardeners were allowed to dry by placing them in the fume hood at room temperature for 24 hours. To prepare the hardener for analysis, a small amount was scraped off the slide, flattened and placed on the FT IR salt plate. Three different locations were scanned on each hardener sample and the spectra Obtained were compared. Comparing the spectra from all of the hardeners and determining similarities and differences, separated the hardeners into 7 groups. Next, one hardener from each group was mixed with Bondo body filler (as per procedures mentioned above), and allowed to dry in the fume hood. Once dry, a small amount was scraped off, flattened, placed on the salt plate and analyzed with the FTIR microscope. F TIR Bench Spectra v. F TIR Microscope Spectra All 33 samples (prepared as mentioned above) were initially run using the FTIR microscope. The spectra were examined and were found to be too concentrated. The peaks were too broad and not well resolved. It was then decided that the 33 samples would be run again on the FTIR, but this time using the main bench and having the samples prepared as potassium bromide (KBr) pellets. The spectra Obtained from both analysis techniques were compared. Sample Analysis— F TIR Bench Each Of the 33 body filler and spot putty samples were made into KBr pellets and run on the FTIR bench. The samples were prepared for analysis as follows: a square of size 0.5 cm x 0.5 cm was cut out of the sample from the microscope slide and placed into a mortar. Three scoops Of KBr was added and ground in with the sample using a pestle. A small amount was placed into a press and a pellet was made. The pellet was placed into the FTIR holder and placed into the instrument. Five scans of each sample were done from 4000cm'1 to 450m". The spectra from the 33 samples analyzed on the FTIR bench were collected, compiled and put into a database so a library could be created. Future samples could then be run and compared against these standards, producing a list Of either exact matches or similar body fillers and spot putties. Blind Study- F TIR Bench A blind study was conducted in order to evaluate the protocol used in this research for accuracy in comparing and attempting to distinguish and characterize the 33 body filler and spot putty samples. A Forensic Scientist at the Michigan State Police Crime Laboratory prepared thirteen samples. The unknown samples were chosen at random, so the author was unaware of what was being tested. Once the author received the samples, the same protocol was followed as for the sample analysis in order to Obtain reliable spectra of each of the unknowns. Once a sample had been analyzed on the FTIR bench, it was searched against the spectra library and the results were recorded in terms Of their percent match to the sample in question. Visible Microscopy Each sample was selected and examined on the microscope slide on which it had been prepared using a Leica MZ7 stereoscope under 20X magnification. The color that was observed by the author was recorded for each Of the 33 samples. 10 is Gas Chromat ra h A Hewlett Packard 5890 Series II Gas Chromatograph was used for comparing the organic components of each of the 33 body filler and spot putty samples. A method was created on the pyrolysis gas Chromatograph, which resembled that of what is used to analyze paint samples. Each of the samples was run twice through this method. The samples were prepared by scraping Off a small amount from the microscope slide and placing it in a glass tube. In order to make sure that the pyGC was free Of contamination, blank runs were performed after every 8 samples and the method was designed to have long holds at the final temperature before the next sample was run. The spectra obtained were compared by checking for reproducibility and similarities and/or differences amongst the samples. 11 Loy AgIrI dete all oI Hat-SI 33"]; he RESULTS Fourier Transform Infrared Sm! Aging Study There was no continuous trend of change in chemical composition detected by the FTIR as the samples aged at room temperature. The spectra for all of the samples did not differ significantly from each other (see Figure 1). This suggests that drying time does not affect IR spectra, as the body fillers and spot putties maintain their chemical composition over an extended period of time. This is useful information for a forensic scientist since body filler and/or spot putty samples may come into the crime lab for analysis after a hit-and-run accident, and would have been on the car for an unknown period Of time. If one assumes that body filler and spot putty samples maintain their Chemical composition over time, one can be sure that the spectra being produced resemble that of the filler’s original condition. Hardener Study Nineteen different hardeners were received along with all Of the body filler samples. The problem that existed here was to establish how similar or different each Of the hardeners were in order to determine the number of hardeners that were needed to make up the body filler samples. Before running the hardeners, they were divided into three groups according to their color (pink, blue or red), as determined by visual examination. After running all of the hardeners on the FTIR microscope, it was determined that the hardeners of the same color could still be considered members of their original group. However, smaller groups could now 12 :3. egg ea hr fl 1.“... F L be created, based on the similarities and/or differences to other members within their color group. All of the pink hardeners could be considered one group, with similar spectra. The blue hardeners were further sub-divided into 4 groups and the red hardeners into 2 groups. This hardener study resulted in the creation of 7 different groups of hardeners based on their FT IR spectra (see Figures 2, 3, 4). In order to determine how each hardener group would interact with a body filler sample, one type Of body filler; Bondo was chosen as the test filler. As previously mentioned, Bondo was mixed with one hardener from each of the 7 groups. It was allowed to dry at room temperature and analyzed on the FTIR microscope. Results from this study indicated that there was no change in Chemical composition observed when the Bondo was mixed with any of the 7 different hardeners (see Figures 5 & 6). This result was advantageous because it allowed the author to Choose one hardener (red) to prepare all of the body filler samples for analysis. This would ensure that the results obtained from the FTIR analysis would only be due to the filler composition and not be affected by the composition Of the hardener. When the hardener is mixed in with the filler, polymerization occurs, which allows the filler and hardener to form bonds with each other. This polymerization causes the hardener to be evenly dispersed throughout the mixture, thus proving that the existence of the hardener has not effect on the final FTIR spectra result. 13 cdnn 82 82 8cm oocm 63m meme. ace 338m £08m «E s new; 383 m oucom _ .. 4.. \Ll\ \\ -. -. . 8:6: em 695m ,,.. _, .. , asses 8 88m . I II .\III _. / _.....L..( r I ..,..,_..,._E. \lfl... 8358 cm 025m I- . . 14 9% n So. can _ 8o~ 8cm 9.089 . .. - ,. -. .. , -II I... Ilir.-- IIIIII L filial: II II... III; ll+w sum ., _ fl . V ,, ,L W “.2 _, L o— ..L “W A; : 95.5 BEES; BE 05 mo «beam Em ”N 95me H L .. u .8 com a. W. -2. _H ,, g. .... m . .cm _ , . H b . . . we... , , L .2 _ A, , _ v _ m , , A H . . fl , L . 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Upon examination of the spectra, it was concluded that there was no difference in peak location or general shape between the spectra acquired from both analysis techniques (see Figure 7). The main difference that was found, however, was that the spectra from the FTIR bench were less concentrated, making the peaks look sharper and more resolved. Since the spectra that were acquired from the FTIR bench were a better representation of the chemical composition of the body fillers and spot putties, that analysis technique was then chosen as the one to use for the rest of the analyses. Sample Analysis The results from the FTIR bench analysis of the body fillers and spot putties, resulted in the author being able to group the 24 body fillers into 6 groups and the 9 spot putties into 6 groups; for a total of 12 individual groups comprised of anywhere from 1 to 9 members (see Figures 8—19). The way in which each of the samples was grouped was by examining peak shapes and locations found in the fingerprint region. More specifically, the most pronounced differences that were observed between the groups were from 1700cm" to 1200cm", with smaller, but still significant differences from 7500m'1 to 500cm". This was a very successful analysis tool as it provided straightforward criteria for separating out the samples. 20 90$ 25— 82 oocm coon odoov f .-|+ L «beam cantanfioo oqoom .> noqom E K ”5&5 :2, L:- r ("f”— LL?) R . L L L. LLL. L L L L L L L L 0380.83 z . LL 7 L L /\ , 3L L .L L J L L74 L L tr. . L __ LL _ L L. LLLL \/\...r , fi. L LL .1 L L \\ L LLL ‘LL > )./r\ \\ t. .1 LL 3 L .x . ..{...L.iL<.LxL (L /»f. k r/l/lL. T . Jxrfl..,\))x/ .l\\\ll\\r\r...b .L L LL, L.LL L L I L L. L. L L LL. ..LLLLLL ) T / L. ,/ /L L / .. L L, L. / J L L r L , L L L LL, L / ) _ 1 L L LL L ) /\ \(/r.\\//) 7‘ \ / L L L.. .LL \ r L L C LL LL .L [3)? / \ LL L. . L _ L L. LL LL. 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Iii-IE l4 ad».- 2 955 89¢ 858m eggs—“8050M E ”w" 0.53m .- mm 2. - a. - on - R .‘ 8 “Thu“ - . :..t_ 1 . 1 vs “«~'_. ’5 can 32 9o? 82 82 88 88 Q88 {.-f! .. {. .1 ..[ -ll. 2 - , . - . . . 2 I Ill-lllfit-il-i ill... .- -i L adv ow . Q 955 95¢ 85on 03858053“ mph “2 0.5me .2 2mm 2. 2% 2 22 2.. . 2 . 2... .. 2 On 2., _. an . 2 , .- 8 2 ,. . 2 ..2 ._.2 , 2 .2. ._ ,- S 2 2. ., r 2 22 2* s . 2. 2 2.. .2 . .2 . . . . ._ 2 2 3 .2 22 2 .. 22 2 .2. .2 2 . 2 J ..V m f 2 f2 ..2 22 ..r..._.: 2.‘ .73 2-2- ”.3- 33 Blind Study After analyzing the 13 unknown samples using the FTIR bench, each was searched against the library of body filler and spot putty results from the sample analysis portion of this study. The spectra from blind samples 1, 3, 5, 6, 8, 9, 11 and 12 all matched with what they actually were, whereas blind samples 2, 4, 7, 10 and 13 when searched against the library came up with spectra that were different to what they actually were. Table 2: Results from the blind study UNKNOWN ACTUAL PRODUCT PRODUCT FROM CHOICE # CORRECTI # LIBRARY SEARCH AND INCORRECT PERCENT MATCH 1 USC Premiere LW USC Premiere LW 1, 96% CORRECT Body Filler Body Filler 2 Bondo Body Filler Zebra Tack Free LW 16, 91% INCORRECT Body Filler 3 Bondo Glazing 8- Bondo Glazing & 1, 99% CORRECT Spot Putty Spot Putty 4 Zebra Tack Free LW 3M Premium Gold 4, 97% INCORRECT Body Filler QBA Body Filler 5 Nitrostan Grey Spot Nitrostan Grey/Red 1/2, 91% CORRECT Putty Spot Putty (indistinguishable) 6 Evercoat Ever-glaze Evercoat Ever-glaze 1, 99% CORRECT & Spot Putty 8. Spot Putty 7 3M LW Body Filler Marson Body Light 9, 95% INCORRECT Body Filler 8 Nitrostan Green Spot Nitrostan Green Spot 1, 98% CORRECT Putty Putty 9 Marson Body Light Marson Body Light 1, 99% CORRECT Body Filler Body Filler 10 Marson Golden Extra USC Easywhite Lite 3, 94% INCORRECT Body Filler Body Filler 11 Marson Spot 8. Glaze Marson Spot & Glaze 1, 98% CORRECT Spot Putty Spot Putty 12 3M Acryl Green Spot 3M Acryl Green Spot 1, 99% CORRECT Putty Putty 13 DuPont Final Fil Body Dynatron Ultimate 16, 81% INCORRECT Filler Premium LW Body Filler All of the spot putties were found to match with the correct sample, while only 29% of the body fillers matched and 71% did not. With the exception of the last 34 sample, all of the samples that were considered incorrect, were within the top 10% (90% or higher match rate) of the library search results. Since the library is attempting to choose between very similar spectra, and rank them according to their similarity to the questioned sample, it is entirely possible that if the blind samples were run again, the library may choose another sample within the top 10% as correct. A general practice in forensic science is to use 90% as a means of possible inclusion. That is, all of the samples with the exception of one would still be included as a possible match to the unknown sample. One would then have to examine the spectra obtained from the unknown sample and compare it visually to the standard samples that resulted in 90% or greater match from the library search in order to determine inclusion or exclusion. Visible Worm A stereoscopic examination was done in order to see if the body filler and spot putty samples could be distinguished by their color alone. Body fillers and spot putties look very different from each other. Obvious differences are observed in terms of texture and lustre, thus making it very easy to separate the body fillers from the spot putties upon initial examination. After examining each of the samples under the stereoscope, the body fillers were placed into one of two groups (peach or gold) and the spot putties were placed into one of three groups (red, green or grey). The author, in consultation with another forensic scientist, categorized the samples into these color groups, so to attempt to eliminate examiner subjectivity. 35 F_’y_r_ofiis Gas Chromatggraghy Pyrolysis Gas Chromatography also proved to be a useful tool in helping to place the body filler and spot putty samples into 4 groups. One unique result was observed using the pyGC: some of the spot putties fell into the same groups as the body fillers, which is different from the groups formed from FTIR and microscopy analysis in that all of the body fillers fell into different groups than the spot putties. Additionally, the first group had to be further divided into 2 subgroups because subtle differences existed in the Chromatograms. These slight differences were not significant enough to create separate groups. The way in which the samples were separated out into different groups depended on the presence/absence of a peak at 2 minutes as well as the sizes and shapes of peaks that were present around 6 minutes. Although many other peaks were present, these peaks were chosen because they represented the most significant differences between the pyrolysis groups as seen on the programs. Group 1A had similar Chromatograms to group 18 except for the presence of a really tall peak at 2 minutes (around 1 500 000 abundance), whereas group 18 had virtually no or a very small peak (less than 500 000) for the same time interval. Members of group 3 stood out due to the absence of any significant peak at 2 or 6 minutes, while group 2 was characterized due to the presence of a doublet peak between 6-8 minutes and a small peak at 2 minutes, and group 4 showed multiple peaks at 2 minutes and a small, single peak around 6 minutes (see Figures 20-24). 36 <_ 95.5 Boa 599588030 o>wficomoaum 053 Mom 233 oo.ma oo ma oow¢H 00 NH OOMOH comm op.w comm trill-2.x nlilllr..LJVLr.t.. -.,.....-.:.1..u.-../\IWU L ..2 . . _. . . ..l, .l;r-..Li 2‘: r .2 - ..ilnI. _ l}. .. _. .2 . 2 ..C O .2...- _._..2.s-,..222-.2 2. .22 . 2 2 . . i s. a . 22 2 . .2. .2 . .2 _ 2 .22 . 2 2 . 2 2 w 2. 2 .2 ooooom w 2 .2 2 2 2 2 2 2 W. QOOOOOH 2.2 2 oooooma 2 2 _ oooooom E ooooomm oooooom ooooomm oooooow ooooomv oooooom 37 m: 95.5 Bob agofiaofio gufiaomoaom 83 gm 3E oo.mH ooflma _ooM¢H oowNH OOWOH .m oo.w ooqv O .SC. 2.)- .. . know... . L -. L :-_ ..m t v -_ i . , i V ; a z 5 _233? a; [.24 j :J . r m. __ _ . .. . .; _ fl ‘3“ x ‘ . ; _., _._ : . 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Overall summag Table 3: The results from all 3 analysis techniques, showing the groupings for each sample GROUP # FILLER # STEREOSCOPE PYGC FTIR BENCH lndivid ual 1 Peach 2 4 2 Peach 1A 5 4 Gold 1 B 4 10 Gold 1 B 1 12 Peach 18 6 1 3 Gold 1 B 3 23 Peach 1A 2 32 Peach 1 B 3 l 3 Gold 1A 3 1 1 Gold 1A 3 28 Gold 1A 3 ll 5 Peach 1 B 4 7 Peach 1 B 4 15 Peach 1 B 4 III 6 Peach 1 B 1 8 Peach 1 B 1 16 Peach 18 1 26 Peach 1 B 1 IV 27 Peach 1A 3 33 Peach 1A 3 V 9 Peach 1A 1 14 Peach 1A 1 24 Peach 1A 1 25 Peach 1A 1 SPOT PUTTY # STEREOSCOPE PYGC FTIR BENCH Individual 17 Red 4 7 20 Red 4 10 22 Green 3 8 30 Green 2 9 31 Grey 4 10 VI 18 Red 4 12 29 Red 4 12 VII 19 Red 1 B 1 1 21 Red 1 B 1 1 42 DISCUSSION The purpose of this research project was to perform multiple analysis techniques in order to attempt to characterize different types of body fillers and spot putties. The primary goal of this study was to create a scheme by which every sample that may be encountered in a crime laboratory could be differentiated using 3 different analysis techniques. Upon examining the results, it can be concluded that 13 of the 33 body filler and spot putty samples could be individualized, while the rest of the samples, could be put into smaller groups of 2-4 samples. The first conclusion that can be drawn is that all of the spot putties could be differentiated from the body fillers based on color alone. The spot putties tend to be comprised of more vibrant, unique colours such as green and red, whereas the body fillers tend to resemble dull colors like peach and gold. Since an attempt was made to find a representative sample of all of the body fillers and spot putties currently on the market, it would be likely that the samples that were tested in this study would be similar to what a forensic scientist would encounter during his or her casework. When referring to Table 3, some additional conclusions can be reached with respect to the spot putties. Five out of nine spot putties can be individualized using visible microscopy, pyGC and FTIR together (17, 20, 22, 30, 31). The remaining 4 can be grouped into 2 groups: 18 & 29 could not be differentiated from each other and 19 & 21 could not be differentiated from each other. 43 Additionally, when referring to Table 3, it can be concluded that 8 out of 24 body filler samples can be individualized using the 3 analysis tools from this study (1, 2, 4, 10, 12, 13, 23, 32). The remaining 16 samples were further divided into 5 smaller groups: 3, 11, 28 could not be differentiated from each other; 5, 7, 15 could not be differentiated from each other; 6, 8, 16, 26 could not be differentiated from each other; 27, 33 could not be differentiated from each other; and 9, 14, 24, 25 could not be differentiated from each other. a! 3U CONCLUSIONS AND SUGGESTIONS FOR FURTHER RESEARCH The protocol that was created for characterizing body filler and spot putty samples proved to be a straightforward, easy and a relatively quick procedure. The combination of three different techniques helped to individualize 13 out of 33 samples, while placing the remainder of the samples into smaller groups. However, this analysis scheme can only be successful if a crime laboratory has access to all three of the instruments used in this study. The analysis techniques that were used in this study primarily focussed on the organic components of the body filler and spot putty samples. Since these samples are largely made up of inorganic elements, it would be extremely useful to test all of these samples using Scanning Electron Microscopy (SEM-EDX), which would help in identifying some of the major inorganic components. The author believes that the use of SEM-EDX would help to further individualize the remaining samples and/or place them into even smaller groups. In addition, these samples were run as they came from the manufacturer, straight from the can and not taken from paint chips or an automobile. It would be interesting to see if the results would change when a sample was taken from an automotive shop floor or from a car itself that has been repaired and its filler painted over. The author feels that there would not be much seen by way of changes in chemical composition. The body filler/spot putty would be protected from weathering and destruction by the application of paint over top of it when placed on a car, or by being protected in the shop by storing and capping it properly. 45 SUGGESTED PROTOCOL Before attempting to analyze this type of forensic evidence, there are a number of factors that a scientist must keep in mind. First of all, the scientist must decide how much weight to place on a specific type of evidence. This will help to determine the analysis protocol the scientist will follow. Also, the scientist must be aware of the quantity of the sample, because some tests are destructive. Keeping all of this in mind, a protocol is suggested for the analysis and comparison of forensic body filler and spot putty samples. Since pyGC is a destructive test, the scientist should first attempt to examine any known and questioned samples under the stereoscope so they could make a good observation of the color. Next, the scientist should attempt to scrape away as much of the sample as possible from the paint or metal it’s attached to, keeping in mind that if the sample is being removed from adhering paint, contamination may result from the bottom layer of paint interacting with the top layer of sample. Thus, the scientist should attempt to obtain the best representative sample as possible, by sampling from the middle of the body filler or spot putty layer and not from either end. With the remaining sample, the scientist should then try to perform FTIR by preparing the sample as a KBr pellet. If the sample is limited, FTIR should be done before pyrolysis since it is not a destructive test. If the sample needs to be recovered after FTIR, one could dissolve the KBr into water, evaporate the water and recover the sample. Lastly, pyrolysis should be performed since it is destructive and does not require a very large amount of sample. Hopefully, if all 3 analysis techniques are available and 46 used, the scientist will get a really good idea of whether these two samples are alike or not. Finally, the results of all 3 of the analysis techniques should be taken into account and given equal weight when drawing any conclusion as to whether the questioned body filler/spot putty sample could or could not have originated from the same source as the known body filler/spot putty sample. 47 APPENDICES 48 APPENDIX A Fourier Transform Infrared Spectra from Sample Analysis 49 .Homv oom— oocm coon 2:853... 35203-25: £90 0.3% 808m «E ”a 28: Avccce _,. 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Q 62 cow _ 88 82 988 . . . on .1 on omg Bop—3m mo 86on 5.5 ”mm oSwE / \ /.~.\/ .., 8 63 8n— ooon occm odocv -.J Ii. :11_T —.ON 955 383% mo macaw at am 2&5 a . , 3m . mm .3 cow— odocv - 1. man can xofl. “mop—3m mo «.5025 ME...— ”ov oBmE a .. on an . 8 .N0 _.8 -8 .3 6S 90$ 82 82 ooom coon odSV _. .. E .25 285 mo «58% at N: 2am 3 .8 who :6 Tm... _ _. K ., .r. ._ ., a __ 2: 66 cdmv cog econ 8cm odoov . L P 1.1.16... 14+ 9.: w .2 v _ mom £33-63; Eugen 0355 Eng .8 exam «E ”S 2%; ”J . ,.x “mm .5.) _ _ _ __ _ _ ,. _ m M _ _ _ _ _ w ._ _. 6. .._ _ . 3 m 6, . _ .. J . k _ 6* #. A _. Jr J . M on ,/J/, . fin“ {. m r v.3 67 oénv coo— 82 Sam econ odocv (l . .- . I ..- U - Ii fr$T “.m‘N ,6 4 , I T __ .. 3. a. __ .. v _ . fl - .6 __ w, 0? ..,_ _.. J, .._ ".6 , . . r ._ r, T . ._ _ , . we ..., . on .0 4--..» .. w . No I;/ 1 ( cm 6 ..2 68 OOm _ a: 3355 0.3% anm «E ”3 ”SE 988 i.» «.3 m. cm mm . a .- 8 ., «N fl 2 - mm .. 3 - on .. «m . 9. _. a. .. 3. - 8 .- a. .. on a 3 £2 ... on u..- an _ .8 69 cow— oocm 8cm 068v -- .I- ..iIM 9N0 8. 35 0.378 303m «E ”2 2am; 3 -. no we - S . we . 3 . on - F . Q. . ms . E. e . _ W. 2 .. ., _. «ch -. h .. .. 1...... N.“ ..J. .3?.?£... I 7 . '. ,, _ . . 3 .. can 70 90$ 25— gm— ccom cocm odoov .. i_ ..L. . - . F ._ - -l...|I..H V.GV , . <3 28 BE .88 SEE 22° «Sam «E ”8 25w; .. a . Ia . . ; _ ._ row . «m i . a. _ . .. .. .,,. J, T CW N65 7] coon I/lx..(.no\ 9 2.8 ..l.: lll'r|_ “|'s|’.,| I Basia: 8:. «89 8.3 2m «0 €83 «E 5. 2:5 22'»: 989. .. wém _. on «m .. ow .Nv . 3 .. s. . on a - 3. .. 9.. n «.2 72 coo— ooom 3203-2»: :385 35o «825 «E «a. 2%: o8? - in -em .wm -ov .Nv . 3 .. 3 . on .mm «No Name 73 odnv coo _ con _ coca coon odoov 025 B« 0.: «o 2625 «E ”a. 2a: m. a. .3. .9. .3. .8 .mn 9N5 -1- 17.8 74 com _ ooom 89.. n .I .|.IIL «v.89. . 1-.. 3 _ beam Sam 98 330-83% Soggm .«o 883m MP; ”on 0.5me .. n _ cm .2 .8 .. 2 « _.... g 1 «— _, a m ., _.. _. fl, «2 r O? i. ,6 ,., ._ 7, f , w fl .. .. 9 3 .. _,. _:_ c... _m . _ - on _, _ , . in .. . -. i, / « . _ ,. , , / l; . meg m... .‘ _ . f , T. . ._ u}. _ .'.'-... q... k: _. WW _. ado 75 odm 82 gm— ooom 89m 983 IEFII - .. 4I1||. . |...Ia.|1|||‘-. II... .- p -1 .. -22 -|.,-I:+ a h a o «25 saw .9. «ago 88m .8 26% «E «m 2:5 -2 ..2 A. cm W n om mm #60 76 coo _ 82 .\ x . I 6 \\ 2.1; I. (.|... ._ M.\. 1‘ vl .«1)I\\ If) . \[a‘ .. 2. , . - 2 .mrs...&r_..e....1.r 0N. ._.. R 2 WE ¥ . 06w 77 odnv 8.3 82 coom oocm odes. . on ., mm .8 78 \ Z O65 8n— IFF . .. 88 88 988 . all“. 2m 93 «am 520 E3. 220 88% «E ”a 2pm; . a . _.. o. .2 9. .. a. 9.8 A. : $3 . R _.8 . .60 79 AHOmv {2222222 .Ili l I ccm_ coca OOOm Si «5.35 a. «am :83: «o anm «E ”mm 23mm odes. ‘ - ......«.$ 8 n,.__. «H ,_. mm M. E .3 «.2. 80 odmv 8a 88 88 988 .222- -2 . 2- .2.- p 2 . -2- 2 -, - . .2.” ”.—N «:8 «8m :85 5822 8 Exam «E ”8 288 - n .8 . 8 _ 8 - 2. . .- 8 H. _ 8 g M . a H .. 2 . __ fl. .3 q r 8. ,. .g . ..x, f... .3 ,. 8 ,W .1... . .. ... . _. 8 8...... 8.3.. . _ . - 2. . . 8 ,l./l.t+22x . 7 _ Yam 8] 1 i I i AVCmv coo— . .wooov H - w «.3 bag «Cam x05 58952.3 «.30on a: fin 0.53....— , , my: HQ Y. __ Q 7. : I: an ,oh , .E. ‘i ,4 p” . ,2... . ... S 13,! .+\\ U , 3a 82 APPENDIX B Pyrolysis Gas Chromatograms from Sample Analysis 83 acéasm £63-“an £35 0%: a ._gsgoso 83 an 2:5 oO.m oo. oo.¢ oo.N ...M.‘l‘|lll‘/ ‘1‘ ‘1‘: XV.IJ. I . I\ .III. ‘ I'.‘I . ,1» 0 y]: o . ‘5 .I .li‘pn‘ I‘lllnllllu '; ‘IIJO ..ll'a .11; .Il ‘. O I) . . s.\ . oo.mH oo.mH oo.¢H oo.NH 00.0H . V a . ooooom OOOOOOH ooooomH oooooom ooooomN m oooooom ooooomm oooooo¢ ooooomw oooooom 84 $33.35 255 0.358 £39226 83 an 2:5 oo.¢H oo.mH oo.OH oo.m oo.m oo.¢ oo.N I ‘ .\-;:~‘Ill".: J. . / \ . .4 .I. . u . . V 4. ._, _. . . ,8 _ “—u c ‘ . .'. I. 1‘ p '..I ooooom OOOOOOH ooooomH oooooom ooooomm ..oooocom 85 22m asaoaaosam 0.3:: nasaeefi 8a ”8 2:5 oo.mH oo.mH oo.¢H ooqNH 00.0H . oomw oo.m oo.¢ oo.m ‘ 4 I > . . . . ,. n . I; \...|.. .1 y . ..Il.?qb\l"p.1lll o . .‘lr ‘ , z . ‘1... viii} iiiiiii I ‘ I (x 3. 1 . _I\(‘./. 2.4)‘1./.l\4. .. /\.(J. J.“ ;/ .7. . / 4 l, _ (I) ) =(\L/ .»<. . o r .\ x 7. \» \x x. .8 _..(- ) \1 A . _ / _ _. r ,. 4. J. , .. f. n. , 4. / J _ . . . : .__ l. 4 . >\ , 4 __u 2 V. . . .. A .4 I , V 4 J P 4...:(4 " ,, .4 4 .5 . I. (2.4 44) _) N} x\ / . \J 4 c . , / __‘J 4 .4 4 4 .. 4 4‘ r , 4 . , a, _ _ .3. .. . -_ ... _‘ 4 ,4 4 \ . 4‘ 4 . 4 __ , A 4,... , ,. . V ’4‘ . . .4 . . 4 . 4 4.. 4. , 5 4 a a 4 4.. a , 4 n . N . ., ._ 4 .. , 4 C _ . 4 fl ‘ . _ .4 _ c ;. ,4 4 4 4 a . O O o O o m 4 . 4 4 a ”J 4 n . , . . ,, 4 H. w , , n M. , _ M 000000: 1 g 4. W 4 4 4 , 4 , 4 “M W ooooom: 4 4 4 4 W oooooom _ W ooooomm 4 w oooooom ooooomm W oooooo: ooooom: oooooom T ooooomm v! 4 gags 86 2:: 2:25 $33.22: 0.3:: afloaaefi 8:: 2o 2:2,: oo.¢H OO.NH O0.0H oo.m oo.m oo.v ; in. ..,,_Hpn)_..,‘1r\x.x h N- 2.87),.24: 314.48%“)..1/41444 141.: :51 8 ax 444. s . x . . a 2‘. . . . . K . .4 , .8 - _ A. . .4 _ - _ V p . . __ 4 4 _4 4 , x. c , H . . q 4 4 ‘44; _xrn/i h V‘, 2 llr/ «uh. I. /..._./y.,..\ n .l_ .. 4. 4 4 OOOOOOH oooooom oooooom oooooo¢ oooooom oooooom oooooor oooooom oooooom bo+mfi 87 .fimoifi: s: a: flewoaaoao as»: ”S 2:2: oo.wH oc.mH oo.¢H oo.N 00.0H oo.m oo.w oo.¢ oo.N ..(i- . a a . a . . L r 1 .. » . ,_‘_ -1 Irwin. 135/. _,, 8.7,“: . I/ .4. I. a --. .. O . . . u u . ,.w .4 .— 4 . _m ‘ oooooo: ; . . M oooooom _ 1 H m oooooom H p 000000: a w oooooom 4 W oooooom oooooos oooooom oooooom 4 W no+ma bo+mH.H bo+mN.H —‘ ‘Vr—‘v—vv fio+¢m.4 88 Em: $8 :82: so ageaeoav 83 é 22:: oo.mH oo.¢H oo.NH 00.0H , )VJ. , n V. . . I, J ”.V . ’1 8).)! . .. 4..: a ,a n .: . ..T D. 1 4 , f 4 4 - . .4: r, . . .. .r... ,1; V . . u a, _,, 4). .r: ,V c 5‘ .. ..V _ . 44 .4. , . a 4: 4 . . , . . . .u . . . .,_ V _ . . . oo.mH ) 2...}- - _ a. , A: V_, 4 a _ ,, n.4,; m 4 _ .4 _ 4 oo.m ..._.:,V 34 z :4 4 4 4 . oo.m UW¢15W4J.4 1 oo.¢ a. . .‘W, .- _____ .5. 4.4144 7.. T r I V ‘ * ~v— ~7.‘"I ooooom OOOOOOH oooooma oooooom ooooomm oooooom ooooomm oooooc¢ ooooom¢ _-oooooom :ooooomm 220$ 89 098m .40 4435928440 00.3 ”4% 0.53.4 oo.mH oo.mH . ..e _ . .. . 3 _i 2 .42.; 4.... _ _ J 52...). 4b. ..Jt..?..,e/,...,2 ..J..../._4.4 4... >3 .4.) 4.. / :> J... «./.. .4: .. {44.44.14 _ . 4.. .__ .__ . . f. 4 .. . _ r. I ll. . .2... \J .. ((1.04 .. m. . - oo.¢H oo.NH 00 OH 00.. m .__ _ . ._ .__... ... . 4.. . . .4. . .. .4 ...___. .4 (<4. i 4 4 .4. 4 .4 . .. .e. _. . __ . 4 .. . . .. .. . 4 ._ 4 ._ . .. . . . __ 4 . 4 4 .. . . . .. . .- y— v--v— Y_' ooooom OOOOOOH ooooomH oooooom ooooomN oooooom ooooomm oooooow ooooom¢ oooooom ooooomm oooooom ooooomm 2.4442 90 :5 323 :83: .8 gages“. 00a ”8 8a.... 00.3 00.3 con: 0.0.3, 8.3 oo.m comm oogv .‘ . ‘ | p, r . p}, . r . .LI . ‘Lr 1|) ._ ‘1..\h..l ‘1‘. ' . ‘ 'J .15. — Wye/x 51‘ .\| .9 a. I < (I... I . \ , x . .3. 2.. .2 «ISA .‘ \. «nix/._IJ/Jjj , _2 _. /,._ , .. xx .2 d ... A . A )..2\(<.\ J15 .3... 72....-. H.163 A») ..A‘ALJ .) . \H. A. .725" z W. ... _ _ /.._ ._._ A... . .__” .. . , 4.. .. _A?. \.. . .1 _ _..A .. f A... _ ,. . 1. .1. \ _. .. ._ . m . ., .. .A . ,. _. \ ._ .. .. . . A ._A . f . . : A. A . _ . r. 1. . .4 _ . . ,_, _ x _. . _ ._ _ . _ A o OOOOOOH oooooom oooooom oooooov oooooom oooooom OOOOOOb oooooom oooooom bo+mH bo+mH.H bo+MN.H bo+mm.H ho+m¢.fl 91 $63-5»: 98.8.. 8:33: 8mg: .8 agsmaoau 83 .8 25m... ooqmfl oo.mH oo.¢H oo.NH oowoa 004w comm op.¢ oo.N . . L ‘ , .x 1 , .. . . A ‘ . : 3,: ”I. .A ,. 1-. . 1. {VIII Ll.v\ p . A a .|| I. . .1 , . -Il, Hz. 7 A. .. ‘IIO'IIVIIIIIIII o A _ 5.... )x . . < r. «s. .. 4 .. . I 1. (..-\1(1 _.._/(\(_r\(). .73/ Xx If) .\,_ .y ‘Jr. ( II. ..b \. J .._. .< . 2] ‘ / _fi/ \ .. ’ .. g. . .. 1:. ,....).._. . , . . . A . ..A 3.. A ,A .. .__ ..2. AA... /. ‘_ M... A .. g. .. A . . x __ .A, ._A . d M. L, A 1 A __ . . x A M T . r . _ A ooooom M A. . W OOOOOOH .. A Woooooma , oooooom c Wooooomm . oooooom . _ ooooomm oooooo¢ W ooooom¢ oooooom ooooomm oooooom "P‘V? '— '—1 " WI 88.5 Y .. 92 gm 5200 :832 we naaofifiofio 00.3 ”S 23E oo.ma oo.mH oo.¢H . OOMWH ..zfioHOH. _ 00mm op.m oo.v oo.N A.. L I... . .421 . ,. . ,.uA ./ . A 3.. A»... .2).- ,7..../, 7s...»77_7..- <.,-,<. ,7.27.7'IJ7.1l-./,._L 2.1.7....‘Lrl. 7 I)... 11.17.77. 7.)... . ..A....A- . . . O . .. _ ..777 7 7. .7 . .7. x 7.7 7 . . .7 7 .7 7 7 . 7 7. 7 _ H OOOOOOH .. 77 .. 7. 7. _ 7. A A 7 7 7A . _. . oooooom . A oooooom oooooow . _7 . : . oooooom 7 oooooom 7 7 . v ..oooooon . . oooooom V 7 7 oooooom 7. 7 .. Wr 3+3 7 . 93 28 05 7888”... .3 agoaafio 8a .8 2:3 ooqNH 00.0H oo.m oo.m oo.¢ oo.N . LI it 1]... oo.mH oo.mH oo.¢ 1b\a.i8fl.v,.w-nnvz .1. 1 s . 1--)\1 ...-1‘ .. U .- ..7 R. 7).-”23 /.. . . .. ... ..l .7 all.) Y. . . .\.I.I| .. . ... 7. . \- pL r . . ,-<.i97 < ,127y?7731, K/7 :..7 :fijlxags.7 77) ,7 1 7.< o _. . . 7 _. .. ...”..é..7..{/ >2 . 5.... . 7‘7. .7 7.... .7 7‘ .. ..7. 77 . ... 7 .._... .7 7.: ..7. . ... .. 7 n 7 . _ ¢ .7 . 7 _ 7 7 .7. ...>. 7.. .7 7... 7, ... . 7 7 7 7. 7 . _77 .. . . . ooooom 77 .. 7. . 7. . . 7 77 7 ,7 77 7 77 _7 , 77 . . ooooooa 7 7 7 . 7 . 7 _ ._ 7 7 77 7 7_ 7 7 oooooma 7 n m _. _7 7 7 - 7 7 7 7 oooooom ..7. . ...7_ . 7 7. 7 ooooomm 7 w oooooom 7 m ooooomm v oooooo¢ ooooomv 7 y 7 7 94 «@033»: 383% mo ggoaaoao 00a é 2%; oo.mH oome oow¢H oowNH 00.0H oomw oo.m oo.¢ , oo.N , , _ 2 . . . nu “ . 4 . . .l . t ‘ r > . ‘4’. . o “ ... I .-.! L . I, ~ llf». \ . I'l‘ . .1 ,II / J. c < (32.8.3913, 3 \ s. x 22 ...8 x a} <2 ... 2.2;le _ . j. ,3..\ I. I, 2 .J..\ , .‘C\ In . <5? ., )2 331 3;. ,2; ..3 W.) 3 an, a; 22,. 2, >>>j (2. 3, .\ <22 .3 _ 2W <5; 2.. 2 2H 2 ~ .. ,3 (a. . O . ._ a. .3 _.2 7...; 3 3.). ,..: {.3 _ 2 _ sn ,3 3 _. .3“ : .._ 2. f _. \,_;__ a g ,3” g. n. 3 m. 3 _u . 3 3“ .4 3mm _ . m htmw . 3 ‘ ‘2“ 33 ,u . H _ 2‘. M 1_ M OOOOOOH — , .. 2 2 _ i 3 ; m oooooom oooooom _“ H oooooo¢ woooooom T . ”,oooooom 2 #:0000005 oooooom 95 35.?08930 88.6%.— .«o 3338:8220 DOE “on Bammm oo.ma oo.wH oowva oowma 00. 0H 00. m oo_.m 00. v oo.N 4..;,u.fl,2;§—’—v .2 . .2- 2 2 “_oooooo¢ oooooom w oooooom oooooon 2 m oooooom oooooom v- #7 1 f‘r’ v 2 2-bo+mH '1'er bo+ma.a 2.no+mm.a "Y‘T bo+mm.H Y’T'T‘“ ~ bo+m¢.a v—r—O 96 05 38.8%— 20 "2223038020 00.3 ”2 a 239m oo.mH .N 00.0H / oo.mH oo.¢H oo oo.m oo.m oo.¢ oo.N I". 3.1/32 3. , , C .. t /\ . J. 2 . . _ OOOOOOH 2 . oooooom 2 _ H oooooom oooooov oooooom oooooow 2 2 0000005 T 22.2- r—- oooooom 97 QES 385$ 20 £33.55 8a é Baa . oo.m . H L 2 l . L , . . i u . . .. ‘1. VII . ‘IIIIDIIIII. .. c . y 13%... <. I . x ; _ZSS /. 2.!» :12 .. 4% /JJ / 2.22.2 1...}Hw .t/ 2. .. 12 2?., a? :2, .i, 22 27; 2 c 2 2. .222 .2/ 5. .2 .2 x)...” a 2). .. .22 . .2 c . . 2 . w . r. . , . .2 . 2 .. I . _ . .. . 7 ... ,2 . I 2 . . . \s . 2 .2 _ . .2 . 2 J ... 2 2 —. _. .. 2 2 2 2‘2 2 \. _ 2 2 .. 22 .. 2 ,2 2 2 22 ._ 2 . 2 .2. _ 2 2. . 2 2 2 .2 \ . 2 _ _ 2 2. ..2 2 m 2. ... . .. 2 2 2 2. 2 M oooooom 2 2 . o (7!). a I )2; .3 A \ (.2. . hi ..fi/.. c . .2 oo.mH oo.¢H oo.NH 00.0H oo.m oo.m oom¢ . a 2 OOOOOOH oooooom v-y—v.‘ I—e—f"" ‘ ' 2.2 2 , 2 2 0000003 2 . 2 oooooom 2 2 2 2 oooooom oooooor oooooom Woooooom T 2 2 2 bo+ma rr-ym mo agauwoaaeno 00.3 ”mm 225E ooum oo.m oo.mH oo.mH o.¢H _ oo.mH oo.oa .2 . . 2 .. 5., «f2 .22, 2x, 2) 22; . , g 2. r... _ . 2.2 \._..(J 2/ .2 . . .2 2 ( 2. i . .22 222 2 . . / . 2. .2 22 .222 .2 . 22 2 r. .. . . 2 2 2 22 .2. . 22. .2 22.22, 2 2.2 2 . . 2 _ 22 .... .. 2... 2.. . 222 222 2 . 222 2 : ; 2 2 .222 22 2 _ 22 2 . 2 .. 2. -_c2.__... .2 .; oo.¢ ....1).14F..u.)w.f... I...) )3). #2222 ._22 j. ,2 ....2 /\\ ,. —r-—‘v”‘V—"‘""T " ' "- OOOOOOH oooooom oooooom oooooov oooooom oooooom oooooor oooooom Eula .. .. E... E as... 89.5 .8 awasgoao 09.. ”E 235 oo.mH oo.mH oo.¢H ll-|)_\.a. OOWNH O0.0H oo.m oo.m oo.¢ OO.N - g .y ...- . . (.....- wéaJTA...W!-:59 }€s;.f .r c 2.7.... .. ......i... . . (2 ..XHJ. ..1.,...,............ I 3 ....» L... f <5.?/;...\., .3. .,._J.\ r¥rr_ '~‘— 104 <3 28 .200 ham :0 .8 008090825 00.0 ”00 8:0... oo.mH oo.mH .vH oo.NH oowoa oo.m ooqm 00 ¢ oo.N I ./.n I. ..o. .. . N . .. \o .l. .Ilu/n. It! a. . a. _ . . . :- ..(; ). .I _ .5ch5 .‘r .. . ... ...! , .\ . 317. ... u <(Q‘Jur // 3t .31. . // . .. /.. J... . u .2 I o .W _. . . v .. . ,/.... , ..._ .... .W . r . W... _ , . .. . .. W .. ‘ W . . W .. . .- . _ ... . . . W U. _ WW . - . ... . _ ... _W . . . . . If \I. ’ / ‘ . . M .... 00000m . _. . 000000H W _ w ooooomH oooooom W H 00000mm W 000000m W 00000mm 0000000 . M 00000mv V ..0ooooom 105 £903.30... 8.0 0.80 snow 20 00 00803586 8.... H00 2:0... 00 00 00 00 . oo.vH oo.NH. oo.OH oo.m W . W W .. W .. W . . 00000m 0000000 W. W 00000mH W W W . 0000000 . . ooooomm oooooom ooooomm . 00000 106 .fi.oa-.fis 0.352.. 20 00 008090826 ooh. ”.0 200.0 00. ¢ m H A. I (l:/. . OIIAIV‘ oo.mH {I / oo.¢H ... 3. . . . ... ‘0. ..v . <12). , .J; . oo.NH .t 0... 3.3.) C. .1 .. W: W... .02) {/K ...D. ..._,\ _ . W .02.. . _ .._...W .W 1 O0.0H . ..- I. . . .. MJLxu/Wklx ., 0 0.0.3. ... . .. ..._ W. W... lull ? .W W oo.m -Ilwrl )2/ 5 ..0\(\JrJ) WflléWWWJ W... .. .. 00 W _ .. W . W. W. . .. . W. . W W. .. .0 00.... . . x-?rz1.-inT/;. ...... .W .W W.. W .2 r. . . _ . . .. . W W x W O.N -. a. ...- f D 1 W -..... .. ooooom OOOOOOH ooooomH oooooom ooooomm oooooom 107 0005 03. 000 00 008030826 ooh. .00 200.0 oo.mH oo.mH oo.¢H OOHNH 00.0H ooqw oO.m oo.¢ oo.N . . . , . II .iu’c. p . u ‘I'. J.l_1¢r.. . . . . v .. . . It!!! I]. f \xltIV n .... \D n )r. .J .1 I \l] .r. l a). .3) K x. .3! ...] J. .1. 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Z... . .,.( . -- 060.: £103.}, _ w. 153.100.14.353 ., ...5.,__e . - .- 51)! 5._5.r...5.,(,,._. - . . o 5. , .1.‘ ,0.._ . .0 . 0. .. .1, \ g a . .. a 0 ,0 0 .\ 0000000 0000000 0000000 0000000 0000000 0 0000000 0000000 0, 0 0000000 113 00:0 000006 0. 0000 08002 00 0000090886 00000 N00 20000 00.00 00.00 00.00 . ooqma 00.00 ooqm oo.m oo.¢ oo.m 1...} w .. . . - . ... , . ,- .-. 1.... ..1.0..01%0,0.3.. 0a}. ,..0.Z.. .00.0}}...0,....>........a,(...1.000;..00.1 21:} .....r. 0,53... _. .0. 4 .- - 0 0 00, W a m” 00.. 0 :,._ 0 .... 0 . _ _ _ , . 0 00000 000000 000000 000000 000000 000000 000000 0000000 ,0 .-oooom¢ 114 $00 0000 08.5 058002 00 0080308030 0000 ”00 2000.0 00.00 00.00 00.00. 00.N0 00.00 00.0 00mm 09.¢ 00.N .J] . . \‘u‘ \i.‘ 0 .n v..v.... .. ! ‘I‘J. _ z 0 .llrlllr1})_ I . ....1. In! 0 .‘ .- ....nl..'.. [fi 0‘. I 6.1. I. llTlrlJc / . .. a .1. ...\ <(\;0 I. 1.1.0 //\l\- k ..viI/ \\UII «$01 11/ _V /L{ 4)) I! *1. \ . 2N / 0 I». .1... . K 3...)” 0... , .._ 0‘ ‘ m .__ I. . .._ 0 . _. ,_ 0 _, . 0 . x... 0 0 ,0 0 0 0., 0 ,_ 0 . f 0r :0 . . 000. 0 2 0 - "’_V_ T fi‘.’ 00000m 0000000 ..00000m0 000000N 00000mN 000000m “-00000mm 000000¢ ..00000m0 .000000m 115 00:0 0000 0:0 03800200 0080308200 090 N00 20000 00.00 00.00 00.¢0 00.N0 00.00 00.0 00mm 00.0 .. fird..qi 004a...J.p . . . ..N (0 ‘1‘. 4 Q/ . )\\A..\. .. 0 ’LT J. u .5. ...- ...J). -L 0’.)\ his... . . H ‘ .._). - m. ... .... . .. . ., . . .. , _ , _ 0, 0 ... ..0 0 0.. 0 53.31.... is; 5 .. . . . ,, . . ,. Kilefva ...) 0 0 f { .6 4;... «...... \ (:15..I.s?}£z1.kfn \i70)... a}? ......3. ._fi ._ k. ... 0 0.. . t ...r.. .... ... -....74... 2...: 0, . .. .r 0 .0. . I .. 0 0 . _. 0” 0 . 0 u . w__.-... 0 ~ .0..— m . 5,. _. 00000 000000 000000 00000N oooomm 000000 116 REFERENCES 117 REFERENCES Cleverley, B. (1970). The Identification of Motor Body Fillers. Joumal of the Forensic Science Society, 20: 73-76. Cirimele, V. (2000). Gas Chromatography. The Encyclopedia of Forensic Science, Analytical Techniques: 151 -1 52. Home, J. et al. (1980). The Characterization of Motor Vehicle Body Fillers. Medicine, Science and Law, 20(3): 163-174. Kirkbride, K.P. (2000). Spectroscopic Techniques. The Encyclopedia of Forensic Science, Analytical Techniques: 179-191 . Saferstein, R. (1993). Forensic Applications of Infrared Spectroscopy. Forensic Science Handbook, Volume III, Englewood Cliffs, New Jersey: Regents/Prentice Hall, page 155. Walsh, K.A.J. et al. (1986). New Zealand Body Fillers: Discrimination Using IR Spectroscopy. Visible Microspectrophotometry, Density and SEM-EDAX. Forensic Science lntemational, 32: 193-204. 118 AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA 1111111!Mlllllljlilljljllllllljflllll