Soft and Robust Identification of Body Fluid Using Fourier Transform Infrared Spectroscopy and Chemometric Strategies for Forensic Analysis

Abstract Body fluid (BF) identification is a critical part of a criminal investigation because of its ability to suggest how the crime was committed and to provide reliable origins of DNA. In contrast to current methods using serological and biochemical techniques, vibrational spectroscopic approach...

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Autores principales: Ayari Takamura, Ken Watanabe, Tomoko Akutsu, Takeaki Ozawa
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Publicado: Nature Portfolio 2018
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Acceso en línea:https://doaj.org/article/fa77b79f5529409583851f90c420b79d
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spelling oai:doaj.org-article:fa77b79f5529409583851f90c420b79d2021-12-02T15:07:57ZSoft and Robust Identification of Body Fluid Using Fourier Transform Infrared Spectroscopy and Chemometric Strategies for Forensic Analysis10.1038/s41598-018-26873-92045-2322https://doaj.org/article/fa77b79f5529409583851f90c420b79d2018-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-018-26873-9https://doaj.org/toc/2045-2322Abstract Body fluid (BF) identification is a critical part of a criminal investigation because of its ability to suggest how the crime was committed and to provide reliable origins of DNA. In contrast to current methods using serological and biochemical techniques, vibrational spectroscopic approaches provide alternative advantages for forensic BF identification, such as non-destructivity and versatility for various BF types and analytical interests. However, unexplored issues remain for its practical application to forensics; for example, a specific BF needs to be discriminated from all other suspicious materials as well as other BFs, and the method should be applicable even to aged BF samples. Herein, we describe an innovative modeling method for discriminating the ATR FT-IR spectra of various BFs, including peripheral blood, saliva, semen, urine and sweat, to meet the practical demands described above. Spectra from unexpected non-BF samples were efficiently excluded as outliers by adopting the Q-statistics technique. The robustness of the models against aged BFs was significantly improved by using the discrimination scheme of a dichotomous classification tree with hierarchical clustering. The present study advances the use of vibrational spectroscopy and a chemometric strategy for forensic BF identification.Ayari TakamuraKen WatanabeTomoko AkutsuTakeaki OzawaNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 8, Iss 1, Pp 1-10 (2018)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Ayari Takamura
Ken Watanabe
Tomoko Akutsu
Takeaki Ozawa
Soft and Robust Identification of Body Fluid Using Fourier Transform Infrared Spectroscopy and Chemometric Strategies for Forensic Analysis
description Abstract Body fluid (BF) identification is a critical part of a criminal investigation because of its ability to suggest how the crime was committed and to provide reliable origins of DNA. In contrast to current methods using serological and biochemical techniques, vibrational spectroscopic approaches provide alternative advantages for forensic BF identification, such as non-destructivity and versatility for various BF types and analytical interests. However, unexplored issues remain for its practical application to forensics; for example, a specific BF needs to be discriminated from all other suspicious materials as well as other BFs, and the method should be applicable even to aged BF samples. Herein, we describe an innovative modeling method for discriminating the ATR FT-IR spectra of various BFs, including peripheral blood, saliva, semen, urine and sweat, to meet the practical demands described above. Spectra from unexpected non-BF samples were efficiently excluded as outliers by adopting the Q-statistics technique. The robustness of the models against aged BFs was significantly improved by using the discrimination scheme of a dichotomous classification tree with hierarchical clustering. The present study advances the use of vibrational spectroscopy and a chemometric strategy for forensic BF identification.
format article
author Ayari Takamura
Ken Watanabe
Tomoko Akutsu
Takeaki Ozawa
author_facet Ayari Takamura
Ken Watanabe
Tomoko Akutsu
Takeaki Ozawa
author_sort Ayari Takamura
title Soft and Robust Identification of Body Fluid Using Fourier Transform Infrared Spectroscopy and Chemometric Strategies for Forensic Analysis
title_short Soft and Robust Identification of Body Fluid Using Fourier Transform Infrared Spectroscopy and Chemometric Strategies for Forensic Analysis
title_full Soft and Robust Identification of Body Fluid Using Fourier Transform Infrared Spectroscopy and Chemometric Strategies for Forensic Analysis
title_fullStr Soft and Robust Identification of Body Fluid Using Fourier Transform Infrared Spectroscopy and Chemometric Strategies for Forensic Analysis
title_full_unstemmed Soft and Robust Identification of Body Fluid Using Fourier Transform Infrared Spectroscopy and Chemometric Strategies for Forensic Analysis
title_sort soft and robust identification of body fluid using fourier transform infrared spectroscopy and chemometric strategies for forensic analysis
publisher Nature Portfolio
publishDate 2018
url https://doaj.org/article/fa77b79f5529409583851f90c420b79d
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AT tomokoakutsu softandrobustidentificationofbodyfluidusingfouriertransforminfraredspectroscopyandchemometricstrategiesforforensicanalysis
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