Application of infrared microscopy and alternating least squares to the forensic analysis of automotive paint chips

To collect infrared (IR) absorbance spectra from an automotive paint chip with an IR imaging microscope, it is a common practice to cast the paint chip in epoxy and then cross section it using a microtome to reveal the individual layers of paint. Ideally, the epoxy should present little or no spectr...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of chemometrics 2021-01, Vol.35 (1), p.n/a
Hauptverfasser: Kwofie, Francis, Perera, Undugodage Don Nuwan, Allen, Matthew D., Lavine, Barry K.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page n/a
container_issue 1
container_start_page
container_title Journal of chemometrics
container_volume 35
creator Kwofie, Francis
Perera, Undugodage Don Nuwan
Allen, Matthew D.
Lavine, Barry K.
description To collect infrared (IR) absorbance spectra from an automotive paint chip with an IR imaging microscope, it is a common practice to cast the paint chip in epoxy and then cross section it using a microtome to reveal the individual layers of paint. Ideally, the epoxy should present little or no spectral interference. However, the epoxy can infiltrate individual layers of the paint chip as it cures contaminating the IR spectra of the layers and impairing the accuracy of a search of each of these layers against an automotive paint library. In this study, we have demonstrated that automotive paint chips can be successfully cross sectioned without the use of embedding media. Sample preparation is easier, and more importantly, interfering peaks in the spectra due to the epoxy are eliminated. To demonstrate the advantages of this approach for sample preparation, IR image maps of four automotive paint chips that were not cast in epoxy prior to cross sectioning were collected. After each IR image was unfolded using an oblique transit to traverse the image, the spectra of the individual paint layers comprising the line map were reconstructed by alternating least squares. Comparing each recovered IR spectrum against a spectral library, we show that high quality spectral matches were obtained for spectra from the same line/model of the vehicle from which the paint sample originated. When the same paint chips were cast in epoxy prior to cross sectioning, high quality spectral matches could not always be obtained. Automotive paint chips representative of samples recovered at a crime scene were successfully cross sectioned without the use of embedding media with the infrared spectra of the individual layers successfully reconstructed from each sample's spectral image using multivariate curve resolution techniques. The reconstructed infrared spectra were correctly matched using an in‐house automotive paint library.
doi_str_mv 10.1002/cem.3277
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2478784088</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2478784088</sourcerecordid><originalsourceid>FETCH-LOGICAL-c2937-825d5d5f83be7bc59fb3ea8e8543de508b04f8374657cb1c2d16767ffe3c009f3</originalsourceid><addsrcrecordid>eNp10E1LxDAQBuAgCq6r4E8IePHSNW3aJj0uy_oBihcFbyFNJ26WtukmqdJ_b-p6lTnMYR4G3heh65SsUkKyOwXdimaMnaBFSqoqSTP-cYoWhPMyqSin5-jC-z0h8UbzBfLrYWiNksHYHluNTa-ddNDgzihnvbLDhGXfYNkGcH1k_SduQfqA_WGM0ONgcdgB1tZB742KWraTN37-JsdgOxvMF-BBmj5gtTODv0RnWrYerv72Er3fb982j8nz68PTZv2cqKyiLOFZ0cTRnNbAalVUuqYgOfAipw0UhNckj0eWlwVTdaqyJi1ZybQGqmI8TZfo5vh3cPYwgg9ib8cYovUiyxlnPI-tRHV7VHNe70CLwZlOukmkRMyVilipmCuNNDnSb9PC9K8Tm-3Lr_8BrKp5-g</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2478784088</pqid></control><display><type>article</type><title>Application of infrared microscopy and alternating least squares to the forensic analysis of automotive paint chips</title><source>Wiley Online Library Journals Frontfile Complete</source><creator>Kwofie, Francis ; Perera, Undugodage Don Nuwan ; Allen, Matthew D. ; Lavine, Barry K.</creator><creatorcontrib>Kwofie, Francis ; Perera, Undugodage Don Nuwan ; Allen, Matthew D. ; Lavine, Barry K.</creatorcontrib><description>To collect infrared (IR) absorbance spectra from an automotive paint chip with an IR imaging microscope, it is a common practice to cast the paint chip in epoxy and then cross section it using a microtome to reveal the individual layers of paint. Ideally, the epoxy should present little or no spectral interference. However, the epoxy can infiltrate individual layers of the paint chip as it cures contaminating the IR spectra of the layers and impairing the accuracy of a search of each of these layers against an automotive paint library. In this study, we have demonstrated that automotive paint chips can be successfully cross sectioned without the use of embedding media. Sample preparation is easier, and more importantly, interfering peaks in the spectra due to the epoxy are eliminated. To demonstrate the advantages of this approach for sample preparation, IR image maps of four automotive paint chips that were not cast in epoxy prior to cross sectioning were collected. After each IR image was unfolded using an oblique transit to traverse the image, the spectra of the individual paint layers comprising the line map were reconstructed by alternating least squares. Comparing each recovered IR spectrum against a spectral library, we show that high quality spectral matches were obtained for spectra from the same line/model of the vehicle from which the paint sample originated. When the same paint chips were cast in epoxy prior to cross sectioning, high quality spectral matches could not always be obtained. Automotive paint chips representative of samples recovered at a crime scene were successfully cross sectioned without the use of embedding media with the infrared spectra of the individual layers successfully reconstructed from each sample's spectral image using multivariate curve resolution techniques. The reconstructed infrared spectra were correctly matched using an in‐house automotive paint library.</description><identifier>ISSN: 0886-9383</identifier><identifier>EISSN: 1099-128X</identifier><identifier>DOI: 10.1002/cem.3277</identifier><language>eng</language><publisher>Chichester: Wiley Subscription Services, Inc</publisher><subject>chemometrics ; cross sectioning ; Cures ; forensic automotive paint analysis ; Infrared analysis ; Infrared imaging ; Infrared spectra ; Infrared spectroscopy ; Lead poisoning ; Least squares ; Libraries ; Line spectra ; microtome ; multivariate curve resolution ; Sample preparation ; spectral library matching ; transmission infrared imaging microscopy</subject><ispartof>Journal of chemometrics, 2021-01, Vol.35 (1), p.n/a</ispartof><rights>2020 John Wiley &amp; Sons, Ltd.</rights><rights>2021 John Wiley &amp; Sons, Ltd.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c2937-825d5d5f83be7bc59fb3ea8e8543de508b04f8374657cb1c2d16767ffe3c009f3</citedby><cites>FETCH-LOGICAL-c2937-825d5d5f83be7bc59fb3ea8e8543de508b04f8374657cb1c2d16767ffe3c009f3</cites><orcidid>0000-0001-8463-5254</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fcem.3277$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fcem.3277$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,777,781,1412,27905,27906,45555,45556</link.rule.ids></links><search><creatorcontrib>Kwofie, Francis</creatorcontrib><creatorcontrib>Perera, Undugodage Don Nuwan</creatorcontrib><creatorcontrib>Allen, Matthew D.</creatorcontrib><creatorcontrib>Lavine, Barry K.</creatorcontrib><title>Application of infrared microscopy and alternating least squares to the forensic analysis of automotive paint chips</title><title>Journal of chemometrics</title><description>To collect infrared (IR) absorbance spectra from an automotive paint chip with an IR imaging microscope, it is a common practice to cast the paint chip in epoxy and then cross section it using a microtome to reveal the individual layers of paint. Ideally, the epoxy should present little or no spectral interference. However, the epoxy can infiltrate individual layers of the paint chip as it cures contaminating the IR spectra of the layers and impairing the accuracy of a search of each of these layers against an automotive paint library. In this study, we have demonstrated that automotive paint chips can be successfully cross sectioned without the use of embedding media. Sample preparation is easier, and more importantly, interfering peaks in the spectra due to the epoxy are eliminated. To demonstrate the advantages of this approach for sample preparation, IR image maps of four automotive paint chips that were not cast in epoxy prior to cross sectioning were collected. After each IR image was unfolded using an oblique transit to traverse the image, the spectra of the individual paint layers comprising the line map were reconstructed by alternating least squares. Comparing each recovered IR spectrum against a spectral library, we show that high quality spectral matches were obtained for spectra from the same line/model of the vehicle from which the paint sample originated. When the same paint chips were cast in epoxy prior to cross sectioning, high quality spectral matches could not always be obtained. Automotive paint chips representative of samples recovered at a crime scene were successfully cross sectioned without the use of embedding media with the infrared spectra of the individual layers successfully reconstructed from each sample's spectral image using multivariate curve resolution techniques. The reconstructed infrared spectra were correctly matched using an in‐house automotive paint library.</description><subject>chemometrics</subject><subject>cross sectioning</subject><subject>Cures</subject><subject>forensic automotive paint analysis</subject><subject>Infrared analysis</subject><subject>Infrared imaging</subject><subject>Infrared spectra</subject><subject>Infrared spectroscopy</subject><subject>Lead poisoning</subject><subject>Least squares</subject><subject>Libraries</subject><subject>Line spectra</subject><subject>microtome</subject><subject>multivariate curve resolution</subject><subject>Sample preparation</subject><subject>spectral library matching</subject><subject>transmission infrared imaging microscopy</subject><issn>0886-9383</issn><issn>1099-128X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp10E1LxDAQBuAgCq6r4E8IePHSNW3aJj0uy_oBihcFbyFNJ26WtukmqdJ_b-p6lTnMYR4G3heh65SsUkKyOwXdimaMnaBFSqoqSTP-cYoWhPMyqSin5-jC-z0h8UbzBfLrYWiNksHYHluNTa-ddNDgzihnvbLDhGXfYNkGcH1k_SduQfqA_WGM0ONgcdgB1tZB742KWraTN37-JsdgOxvMF-BBmj5gtTODv0RnWrYerv72Er3fb982j8nz68PTZv2cqKyiLOFZ0cTRnNbAalVUuqYgOfAipw0UhNckj0eWlwVTdaqyJi1ZybQGqmI8TZfo5vh3cPYwgg9ib8cYovUiyxlnPI-tRHV7VHNe70CLwZlOukmkRMyVilipmCuNNDnSb9PC9K8Tm-3Lr_8BrKp5-g</recordid><startdate>202101</startdate><enddate>202101</enddate><creator>Kwofie, Francis</creator><creator>Perera, Undugodage Don Nuwan</creator><creator>Allen, Matthew D.</creator><creator>Lavine, Barry K.</creator><general>Wiley Subscription Services, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7U5</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><orcidid>https://orcid.org/0000-0001-8463-5254</orcidid></search><sort><creationdate>202101</creationdate><title>Application of infrared microscopy and alternating least squares to the forensic analysis of automotive paint chips</title><author>Kwofie, Francis ; Perera, Undugodage Don Nuwan ; Allen, Matthew D. ; Lavine, Barry K.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2937-825d5d5f83be7bc59fb3ea8e8543de508b04f8374657cb1c2d16767ffe3c009f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>chemometrics</topic><topic>cross sectioning</topic><topic>Cures</topic><topic>forensic automotive paint analysis</topic><topic>Infrared analysis</topic><topic>Infrared imaging</topic><topic>Infrared spectra</topic><topic>Infrared spectroscopy</topic><topic>Lead poisoning</topic><topic>Least squares</topic><topic>Libraries</topic><topic>Line spectra</topic><topic>microtome</topic><topic>multivariate curve resolution</topic><topic>Sample preparation</topic><topic>spectral library matching</topic><topic>transmission infrared imaging microscopy</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kwofie, Francis</creatorcontrib><creatorcontrib>Perera, Undugodage Don Nuwan</creatorcontrib><creatorcontrib>Allen, Matthew D.</creatorcontrib><creatorcontrib>Lavine, Barry K.</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Journal of chemometrics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kwofie, Francis</au><au>Perera, Undugodage Don Nuwan</au><au>Allen, Matthew D.</au><au>Lavine, Barry K.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Application of infrared microscopy and alternating least squares to the forensic analysis of automotive paint chips</atitle><jtitle>Journal of chemometrics</jtitle><date>2021-01</date><risdate>2021</risdate><volume>35</volume><issue>1</issue><epage>n/a</epage><issn>0886-9383</issn><eissn>1099-128X</eissn><abstract>To collect infrared (IR) absorbance spectra from an automotive paint chip with an IR imaging microscope, it is a common practice to cast the paint chip in epoxy and then cross section it using a microtome to reveal the individual layers of paint. Ideally, the epoxy should present little or no spectral interference. However, the epoxy can infiltrate individual layers of the paint chip as it cures contaminating the IR spectra of the layers and impairing the accuracy of a search of each of these layers against an automotive paint library. In this study, we have demonstrated that automotive paint chips can be successfully cross sectioned without the use of embedding media. Sample preparation is easier, and more importantly, interfering peaks in the spectra due to the epoxy are eliminated. To demonstrate the advantages of this approach for sample preparation, IR image maps of four automotive paint chips that were not cast in epoxy prior to cross sectioning were collected. After each IR image was unfolded using an oblique transit to traverse the image, the spectra of the individual paint layers comprising the line map were reconstructed by alternating least squares. Comparing each recovered IR spectrum against a spectral library, we show that high quality spectral matches were obtained for spectra from the same line/model of the vehicle from which the paint sample originated. When the same paint chips were cast in epoxy prior to cross sectioning, high quality spectral matches could not always be obtained. Automotive paint chips representative of samples recovered at a crime scene were successfully cross sectioned without the use of embedding media with the infrared spectra of the individual layers successfully reconstructed from each sample's spectral image using multivariate curve resolution techniques. The reconstructed infrared spectra were correctly matched using an in‐house automotive paint library.</abstract><cop>Chichester</cop><pub>Wiley Subscription Services, Inc</pub><doi>10.1002/cem.3277</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0001-8463-5254</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 0886-9383
ispartof Journal of chemometrics, 2021-01, Vol.35 (1), p.n/a
issn 0886-9383
1099-128X
language eng
recordid cdi_proquest_journals_2478784088
source Wiley Online Library Journals Frontfile Complete
subjects chemometrics
cross sectioning
Cures
forensic automotive paint analysis
Infrared analysis
Infrared imaging
Infrared spectra
Infrared spectroscopy
Lead poisoning
Least squares
Libraries
Line spectra
microtome
multivariate curve resolution
Sample preparation
spectral library matching
transmission infrared imaging microscopy
title Application of infrared microscopy and alternating least squares to the forensic analysis of automotive paint chips
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-19T07%3A20%3A57IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Application%20of%20infrared%20microscopy%20and%20alternating%20least%20squares%20to%20the%20forensic%20analysis%20of%20automotive%20paint%20chips&rft.jtitle=Journal%20of%20chemometrics&rft.au=Kwofie,%20Francis&rft.date=2021-01&rft.volume=35&rft.issue=1&rft.epage=n/a&rft.issn=0886-9383&rft.eissn=1099-128X&rft_id=info:doi/10.1002/cem.3277&rft_dat=%3Cproquest_cross%3E2478784088%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2478784088&rft_id=info:pmid/&rfr_iscdi=true