Detection and discrimination of seminal fluid using attenuated total reflectance Fourier transform infrared (ATR FT-IR) spectroscopy combined with chemometrics
Semen is most frequently encountered body fluid in forensic cases apart from blood especially in sexual assault cases. The presence and absence of semen can help in conviction or exoneration of a suspect by either confirming or refuting the claims put forward by the suspect and the victim. However,...
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description | Semen is most frequently encountered body fluid in forensic cases apart from blood especially in sexual assault cases. The presence and absence of semen can help in conviction or exoneration of a suspect by either confirming or refuting the claims put forward by the suspect and the victim. However, in the wake of limited studies on non-destructive and rapid analysis of semen, it is fairly difficult. Therefore, it is an increasing demand to pioneer the application of available analytical methods in such manner that non-destructive, automated, rapid, and reliable identification and discrimination of body fluids can be established. In the present study, such a methodological application of attenuated total reflectance Fourier transform infrared (ATR FT-IR) spectroscopy has been put forward as one of the initial steps towards the identification and discrimination/classification of seminal fluid from vaginal fluid and other human biological as well as non-biological look-alike semen substances using chemometric tools which are principal component analysis (PCA), partial least square regression (PLSR), and linear discriminant analysis (LDA). Effect of other simulated factors such as substrate interference, mixing with other body fluids, dilutions, and washing and chemical treatments to the samples has been studied. PCA resulted in 98.8% of accuracy for the discrimination of seminal fluid from vaginal fluid whilst 100% accuracy was obtained using LDA method. One hundred percent discrimination was achieved to discriminate semen from other biological fluids using PLSR and LDA, and from non-biological substances using PCA-LDA models. Furthermore, results of the effect of substrates, chemical treatment, mixing with vaginal secretions, and dilution have also been described. |
doi_str_mv | 10.1007/s00414-019-02222-x |
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The presence and absence of semen can help in conviction or exoneration of a suspect by either confirming or refuting the claims put forward by the suspect and the victim. However, in the wake of limited studies on non-destructive and rapid analysis of semen, it is fairly difficult. Therefore, it is an increasing demand to pioneer the application of available analytical methods in such manner that non-destructive, automated, rapid, and reliable identification and discrimination of body fluids can be established. In the present study, such a methodological application of attenuated total reflectance Fourier transform infrared (ATR FT-IR) spectroscopy has been put forward as one of the initial steps towards the identification and discrimination/classification of seminal fluid from vaginal fluid and other human biological as well as non-biological look-alike semen substances using chemometric tools which are principal component analysis (PCA), partial least square regression (PLSR), and linear discriminant analysis (LDA). Effect of other simulated factors such as substrate interference, mixing with other body fluids, dilutions, and washing and chemical treatments to the samples has been studied. PCA resulted in 98.8% of accuracy for the discrimination of seminal fluid from vaginal fluid whilst 100% accuracy was obtained using LDA method. One hundred percent discrimination was achieved to discriminate semen from other biological fluids using PLSR and LDA, and from non-biological substances using PCA-LDA models. Furthermore, results of the effect of substrates, chemical treatment, mixing with vaginal secretions, and dilution have also been described.</description><identifier>ISSN: 0937-9827</identifier><identifier>EISSN: 1437-1596</identifier><identifier>DOI: 10.1007/s00414-019-02222-x</identifier><identifier>PMID: 31814056</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Body fluids ; Chemical treatment ; Chemometrics ; Computational fluid dynamics ; Computer simulation ; Dilution ; Discriminant analysis ; Discrimination ; Exoneration ; Fluids ; Forensic chemistry ; Forensic Medicine ; Fourier transforms ; Identification methods ; Infrared spectroscopy ; Medical Law ; Medicine ; Medicine & Public Health ; Nondestructive testing ; Organic chemistry ; Original Article ; Principal components analysis ; Reflectance ; Regression analysis ; Secretions ; Semen ; Sex crimes ; Spectrum analysis ; Substrates</subject><ispartof>International journal of legal medicine, 2020-03, Vol.134 (2), p.411-432</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2019</rights><rights>International Journal of Legal Medicine is a copyright of Springer, (2019). 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The presence and absence of semen can help in conviction or exoneration of a suspect by either confirming or refuting the claims put forward by the suspect and the victim. However, in the wake of limited studies on non-destructive and rapid analysis of semen, it is fairly difficult. Therefore, it is an increasing demand to pioneer the application of available analytical methods in such manner that non-destructive, automated, rapid, and reliable identification and discrimination of body fluids can be established. In the present study, such a methodological application of attenuated total reflectance Fourier transform infrared (ATR FT-IR) spectroscopy has been put forward as one of the initial steps towards the identification and discrimination/classification of seminal fluid from vaginal fluid and other human biological as well as non-biological look-alike semen substances using chemometric tools which are principal component analysis (PCA), partial least square regression (PLSR), and linear discriminant analysis (LDA). Effect of other simulated factors such as substrate interference, mixing with other body fluids, dilutions, and washing and chemical treatments to the samples has been studied. PCA resulted in 98.8% of accuracy for the discrimination of seminal fluid from vaginal fluid whilst 100% accuracy was obtained using LDA method. One hundred percent discrimination was achieved to discriminate semen from other biological fluids using PLSR and LDA, and from non-biological substances using PCA-LDA models. Furthermore, results of the effect of substrates, chemical treatment, mixing with vaginal secretions, and dilution have also been described.</description><subject>Body fluids</subject><subject>Chemical treatment</subject><subject>Chemometrics</subject><subject>Computational fluid dynamics</subject><subject>Computer simulation</subject><subject>Dilution</subject><subject>Discriminant analysis</subject><subject>Discrimination</subject><subject>Exoneration</subject><subject>Fluids</subject><subject>Forensic chemistry</subject><subject>Forensic Medicine</subject><subject>Fourier transforms</subject><subject>Identification methods</subject><subject>Infrared spectroscopy</subject><subject>Medical Law</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Nondestructive testing</subject><subject>Organic chemistry</subject><subject>Original Article</subject><subject>Principal components analysis</subject><subject>Reflectance</subject><subject>Regression analysis</subject><subject>Secretions</subject><subject>Semen</subject><subject>Sex crimes</subject><subject>Spectrum analysis</subject><subject>Substrates</subject><issn>0937-9827</issn><issn>1437-1596</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp9kc1u1DAUhS0EokPhBVggS2zKItQ_cewsq8LQSpWQquk6cpyb1lViD7Yj2qfhVbnTaanUBd745373WPccQj5y9pUzpo8zYzWvK8bbiglc1d0rsuK11BVXbfOarFiL59YIfUDe5XzLGNeNVm_JgeSG10w1K_LnGxRwxcdAbRjo4LNLfvbBPjzFkWbY3SY6Tosf6JJ9uKa2FAiLLTDQEgsWE4wTqtjggK7jkjwkWpINeYxppj6MySaEj042l3S9qc4vv9C8xYYUs4vbe-ri3PuAxG9fbqi7gTnOUJJ3-T15M9opw4fH_ZBcrb9vTs-qi58_zk9PLiontSoVNCAA51O9tdw1RrheGt6qoe3ZwLUyRhormh7GXjk5tlIqWTeWMy16JqySh-Ror7tN8dcCuXQzWgHTZAPEJXdCCmFYK4RG9PML9BZHRo92VFNzZWSzExR7yuGQGQ3qtmisTfcdZ90uvm4fX4fxdQ_xdXfY9OlReulnGP61POWFgNwDGUvhGtLz3_-R_QuMvKg2</recordid><startdate>20200301</startdate><enddate>20200301</enddate><creator>Sharma, Sweety</creator><creator>Singh, Rajinder</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>0-V</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AM</scope><scope>8AO</scope><scope>8FE</scope><scope>8FG</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BGRYB</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>HCIFZ</scope><scope>K7.</scope><scope>K9.</scope><scope>L6V</scope><scope>M0O</scope><scope>M0S</scope><scope>M1P</scope><scope>M7S</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>20200301</creationdate><title>Detection and discrimination of seminal fluid using attenuated total reflectance Fourier transform infrared (ATR FT-IR) spectroscopy combined with chemometrics</title><author>Sharma, Sweety ; Singh, Rajinder</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c375t-e6e2e0015baa1c682cb38195d9b0d1758838a26befb5c3f9335346a1072b02a53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Body fluids</topic><topic>Chemical treatment</topic><topic>Chemometrics</topic><topic>Computational fluid dynamics</topic><topic>Computer simulation</topic><topic>Dilution</topic><topic>Discriminant analysis</topic><topic>Discrimination</topic><topic>Exoneration</topic><topic>Fluids</topic><topic>Forensic chemistry</topic><topic>Forensic Medicine</topic><topic>Fourier transforms</topic><topic>Identification methods</topic><topic>Infrared spectroscopy</topic><topic>Medical Law</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Nondestructive testing</topic><topic>Organic chemistry</topic><topic>Original Article</topic><topic>Principal components analysis</topic><topic>Reflectance</topic><topic>Regression analysis</topic><topic>Secretions</topic><topic>Semen</topic><topic>Sex crimes</topic><topic>Spectrum analysis</topic><topic>Substrates</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sharma, Sweety</creatorcontrib><creatorcontrib>Singh, Rajinder</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Social Sciences Premium Collection</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Criminal Justice Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Social Science Premium Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Criminology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Criminal Justice (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Engineering Collection</collection><collection>Criminal Justice Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Engineering Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>International journal of legal medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sharma, Sweety</au><au>Singh, Rajinder</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Detection and discrimination of seminal fluid using attenuated total reflectance Fourier transform infrared (ATR FT-IR) spectroscopy combined with chemometrics</atitle><jtitle>International journal of legal medicine</jtitle><stitle>Int J Legal Med</stitle><addtitle>Int J Legal Med</addtitle><date>2020-03-01</date><risdate>2020</risdate><volume>134</volume><issue>2</issue><spage>411</spage><epage>432</epage><pages>411-432</pages><issn>0937-9827</issn><eissn>1437-1596</eissn><abstract>Semen is most frequently encountered body fluid in forensic cases apart from blood especially in sexual assault cases. The presence and absence of semen can help in conviction or exoneration of a suspect by either confirming or refuting the claims put forward by the suspect and the victim. However, in the wake of limited studies on non-destructive and rapid analysis of semen, it is fairly difficult. Therefore, it is an increasing demand to pioneer the application of available analytical methods in such manner that non-destructive, automated, rapid, and reliable identification and discrimination of body fluids can be established. In the present study, such a methodological application of attenuated total reflectance Fourier transform infrared (ATR FT-IR) spectroscopy has been put forward as one of the initial steps towards the identification and discrimination/classification of seminal fluid from vaginal fluid and other human biological as well as non-biological look-alike semen substances using chemometric tools which are principal component analysis (PCA), partial least square regression (PLSR), and linear discriminant analysis (LDA). Effect of other simulated factors such as substrate interference, mixing with other body fluids, dilutions, and washing and chemical treatments to the samples has been studied. PCA resulted in 98.8% of accuracy for the discrimination of seminal fluid from vaginal fluid whilst 100% accuracy was obtained using LDA method. One hundred percent discrimination was achieved to discriminate semen from other biological fluids using PLSR and LDA, and from non-biological substances using PCA-LDA models. Furthermore, results of the effect of substrates, chemical treatment, mixing with vaginal secretions, and dilution have also been described.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>31814056</pmid><doi>10.1007/s00414-019-02222-x</doi><tpages>22</tpages></addata></record> |
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subjects | Body fluids Chemical treatment Chemometrics Computational fluid dynamics Computer simulation Dilution Discriminant analysis Discrimination Exoneration Fluids Forensic chemistry Forensic Medicine Fourier transforms Identification methods Infrared spectroscopy Medical Law Medicine Medicine & Public Health Nondestructive testing Organic chemistry Original Article Principal components analysis Reflectance Regression analysis Secretions Semen Sex crimes Spectrum analysis Substrates |
title | Detection and discrimination of seminal fluid using attenuated total reflectance Fourier transform infrared (ATR FT-IR) spectroscopy combined with chemometrics |
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