An investigation into the concurrent collection of human scent and epithelial skin cells using a non-contact sampling device

Caraballo, Norma Iris; Mendel, Julian; Holness, H.; Salvia, Joel La; Moroose, Tina; Eckenrode, Brian A.; Stockham, Rex A.; Furton, Kenneth G.; Mills, DeEtta K.

doi:10.1016/j.forsciint.2016.05.019

Cited by 15 publications

(5 citation statements)

References 33 publications

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“…There is an exchange of both biological and inorganic material between the perpetrator and the crime scene during these interactions. In accordance with Locard's Exchange Principal, the perpetrator will leave behind trace evidence in these moments [1][2][3]. Fingerprints and DNA are the biometrics most commonly utilized to identify a suspect or victim of a crime.…”

Section: Relevance Of the Studymentioning

confidence: 99%

Multivariate regression modelling for gender prediction using volatile organic compounds from hand odor profiles via HS-SPME-GC-MS

et al. 2023

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The efficacy of using human volatile organic compounds (VOCs) as a form of forensic evidence has been well demonstrated with canines for crime scene response, suspect identification, and location checking. Although the use of human scent evidence in the field is well established, the laboratory evaluation of human VOC profiles has been limited. This study used Headspace-Solid Phase Microextraction-Gas Chromatography-Mass Spectrometry (HS-SPME-GC-MS) to analyze human hand odor samples collected from 60 individuals (30 Females and 30 Males). The human volatiles collected from the palm surfaces of each subject were interpreted for classification and prediction of gender. The volatile organic compound (VOC) signatures from subjects’ hand odor profiles were evaluated with supervised dimensional reduction techniques: Partial Least Squares-Discriminant Analysis (PLS-DA), Orthogonal-Projections to Latent Structures Discriminant Analysis (OPLS-DA), and Linear Discriminant Analysis (LDA). The PLS-DA 2D model demonstrated clustering amongst male and female subjects. The addition of a third component to the PLS-DA model revealed clustering and minimal separation of male and female subjects in the 3D PLS-DA model. The OPLS-DA model displayed discrimination and clustering amongst gender groups with leave one out cross validation (LOOCV) and 95% confidence regions surrounding clustered groups without overlap. The LDA had a 96.67% accuracy rate for female and male subjects. The culminating knowledge establishes a working model for the prediction of donor class characteristics using human scent hand odor profiles.

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Section: Relevance Of the Studymentioning

confidence: 99%

Multivariate regression modelling for gender prediction using volatile organic compounds from hand odor profiles via HS-SPME-GC-MS

et al. 2023

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“…They are not just difficult to obtain; they also do not cover the entire diversity of volatile chemicals released by a cadaver [ 28 ]. In addition, the use of cadaver pieces as aids make them unavailable for the court to perform additional analyses, and the preservation of forensic evidences can be compromised [ 91 ]. A solution could be the use of human surrogate model.…”

Section: Training Of Human Remains Detection Dogsmentioning

confidence: 99%

Cadaver Dogs and the Deathly Hallows—A Survey and Literature Review on Selection and Training Procedure

Martin

Diederich

Verheggen

2020

Animals

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Human remains detection dogs (HRDDs) are powerful police assets to locate a corpse. However, the methods used to select and train them are as diverse as the number of countries with such a canine brigade. First, a survey sent to human remains searching brigades (Ncountries = 10; NBrigades = 16; NHandlers = 50; Nquestions = 9), to collect their working habits confirmed the lack of optimized selection and training procedures. Second, a literature review was performed in order to outline the strengths and shortcomings of HRDDs training. A comparison between the scientific knowledge and the common practices used by HRDDs brigade was then conducted focusing on HRDDs selection and training procedures. We highlighted that HRDD handlers select their dogs by focusing on behavioral traits while neglecting anatomical features, which have been shown to be important. Most HRDD handlers reported to use a reward-based training, which is in accordance with training literature for dogs. Training aids should be representative of the odor target to allow a dog to reach optimal performances. The survey highlighted the wide diversity of homemade training aids, and the need to optimize their composition. In the present document, key research topics to improve HRDD works are also provided.

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“…The advantage of using the headspace technique [19] with glass beads as sampling material is the simple sample preparation (lengthy, often up to 24 h extraction per fiber is eliminated) and the possibility to observe a broader spectrum of compounds than the traditional SPME-GC/MS technique which was used, e.g., in [30][31][32][33]. These findings could be applied, e.g., for the headspace analysis of samples collected using non-contact human scent sampling devices (e.g., STU-100 [34,35]) that have been proposed for sampling in forensic practice.…”

Section: Discussionmentioning

confidence: 99%

Sex Differentiation from Human Scent Chemical Analysis

et al. 2023

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Human scent traces are often the only pieces of evidence providing information about individuals that were present at a crime scene. In this study, the possibility of sex differentiation using detailed chemical analyses of human scent samples for forensic purposes is discussed. The human scent samples were analyzed through the use of headspace-gas chromatography/mass spectrometry (HS-GC/MS). The results of these chemical analyses were evaluated using several data processing approaches (Linear Support Vector Machine, Quadratic Discriminant Analysis, and Ridge Regression), which were applied to distinguish between sexes from the human scent samples obtained from the palms of six volunteers for twelve weeks. This study indicates that sex differentiation based on the chemical analysis of human scent samples using HS-GC/MS is possible. The best results were obtained using the Ridge Regression with thresholding providing accuracy and a critical sensitivity of the sex differentiation of better than 91%.

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An investigation into the concurrent collection of human scent and epithelial skin cells using a non-contact sampling device

Cited by 15 publications

References 33 publications

Multivariate regression modelling for gender prediction using volatile organic compounds from hand odor profiles via HS-SPME-GC-MS

Multivariate regression modelling for gender prediction using volatile organic compounds from hand odor profiles via HS-SPME-GC-MS

Cadaver Dogs and the Deathly Hallows—A Survey and Literature Review on Selection and Training Procedure

Sex Differentiation from Human Scent Chemical Analysis

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