Exploration of ATR FTIR spectroscopy assisted by multivariate analysis for estimating the time since deposition of human and canine oral fluid on porous substrates

Oral fluid is commonly found at crime scenes, as a liquid sample or more frequently as a stain (i.e., cigarette butts, bottles, chewing gum, cloths, etc.). The study of the time since deposition (TSD) is of great significance in forensics because it allows to collect and analyse only those samples d...

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Detalles Bibliográficos
Autores: Barbaro, Annamaria|||0000-0002-6564-5323, Cano Trujillo, Cristina Pilar|||0000-0002-9587-4514, Ortega Ojeda, Fernando Ernesto, García-Ruiz, Carmen|||0000-0001-5925-3449, Montalvo Garcia, Gemma|||0000-0002-5640-8908
Tipo de recurso: artículo
Fecha de publicación:2023
País:España
Institución:Universidad de Alcalá (UAH)
Repositorio:e_Buah Biblioteca Digital Universidad de Alcalá
Idioma:inglés
OAI Identifier:oai:ebuah.uah.es:10017/58006
Acceso en línea:http://hdl.handle.net/10017/58006
https://dx.doi.org/10.1016/j.microc.2023.109339
Access Level:acceso abierto
Palabra clave:Oral fluid Stains
Porous substrates
ATR FTIR
Time since deposition
Chemometrics
Química
Chemistry
Descripción
Sumario:Oral fluid is commonly found at crime scenes, as a liquid sample or more frequently as a stain (i.e., cigarette butts, bottles, chewing gum, cloths, etc.). The study of the time since deposition (TSD) is of great significance in forensics because it allows to collect and analyse only those samples directly related to the criminal case, excluding the occupational traces, and reducing laboratory costs and efforts. In the present study, we evaluated the suitability of attenuated total reflection Fourier transform infrared spectroscopy (ATR FTIR) to establish the TSD of human and canine oral fluid stains on different porous substrates such as paper, cotton, denim, and polyester fabric. We used the ATR FTIR spectra and chemometrics to detect the presence of human and canine oral fluid as stains on these substrates. Our results showed that Orthogonal Partial Least Square-Discriminant Analysis (OPLS-DA) models were able to distinguish human and canine oral fluid stains according to their TSD independently of the substrate.