Multivariate regression modelling for gender prediction using volatile organic compounds from hand odor profiles via HS-SPME-GC-MS.
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 eval...
Main Authors: | Chantrell J G Frazier, Vidia A Gokool, Howard K Holness, DeEtta K Mills, Kenneth G Furton |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2023-01-01
|
Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0286452 |
Similar Items
-
Method development for an untargeted HS-SPME-GC–MS analysis of terpenes and cannabinoids for the geographical sourcing of Marijuana
by: Janet Crespo Cajigas, et al.
Published: (2024-08-01) -
Characteristic Volatile Fingerprints and Odor Activity Values in Different Citrus-Tea by HS-GC-IMS and HS-SPME-GC-MS
by: Heting Qi, et al.
Published: (2020-12-01) -
Use of Multivariate Statistics in the Processing of Data on Wine Volatile Compounds Obtained by HS-SPME-GC-MS
by: Maria Tufariello, et al.
Published: (2022-03-01) -
Characterization of the volatile components in green tea by IRAE-HS-SPME/GC-MS combined with multivariate analysis.
by: Yan-Qin Yang, et al.
Published: (2018-01-01) -
ANALYTICAL APPROACH OF THE VOLATILE FRACTION OF Solanum quitoense BY HS-SPME/GC-MS
by: EDUARDO CORPAS IGUARÁN, et al.
Published: (2017-07-01)