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A rapid and non-destructive identification of animal hairs using ATR-FTIR and chemometrics: aproof-of-concept for wildlife forensic applications

Data publikacji: 10.10.2024

Problems of Forensic Sciences (Z Zagadnień Nauk Sądowych), 2024, 138, s. 137 - 152

https://doi.org/10.4467/12307483PFS.24.009.20182

Autorzy

,
Saptarshi Rao
Rashtriya Raksha University
, Indie
https://orcid.org/0000-0002-8294-6435 Orcid
Kontakt z autorem
Wszystkie publikacje autora →
,
Deepali Jain
Rashtriya Raksha University
, Indie
Wszystkie publikacje autora →
,
JR Gaur
Rashtriya Raksha University
, Indie
Wszystkie publikacje autora →
Rajesh Verma
Directorate of Forensic Services
, Indie
Wszystkie publikacje autora →

Tytuły

A rapid and non-destructive identification of animal hairs using ATR-FTIR and chemometrics: aproof-of-concept for wildlife forensic applications

Abstrakt

Wildlife crime is a significant threat to biodiversity and can have serious ecological, economic, and social impact. Skin, horns, claws, antlers, and virtually all parts of an animal’s body are utilized in illegal trade. Animal hair is invariably found as physical evidence in wildlife crimes pertaining to mammals. It is also found in wildlife crimes in the form of illegal artifacts, or as circumstantial evidence suggesting the involvement of crime against animals. DNA typing methods are widely applied for species identification but are sometimes unreliable when the sample is highly degraded or mixed with other items. Hair is commonly analysed by microscopic techniques; however, it lacks statistical confidence in identification when the sample size is small and the results are somewhat subjective in nature. Here, we investigate the role of attenuated total reflection Fourier transform-infrared (ATR-FTIR) spectroscopy in analysing the spectra obtained from the hair of two distant species of Indian blackbuck (Antilope cervicapra) and Hanuman langur (Semnopithecus entellus) in combination with a suitable chemometric model, i.e., PCA (principal component analysis) and PLS-DA (partial least squares discriminant analysis). This is an alternate non-destructive method for the distinction of the multiple spectra. PCA plot showed the grouping to some extent; however, PLS-DA analysis resulted in the correct segregation of both species. Additionally, this model was validated by 6 unknown hair samples of both species, resulting in a 100% accuracy. The model’s sensitivity and specificity were also tested and calculated to be 1. Hence, the potential of ATR-FTIR spectroscopy is demonstrated by its speed, non-destructive examination, and minimal or no sample preparation. It can complement the present microscopic and DNA-based techniques.

Zgoda komisji bioetycznej

Wszystkie procedury badań z udziałem zwierząt były zgodne z wytycznymi Dyrektywy Rady z dnia 24 listopada 1986 r., a zgodę na nie uzyskano od Głównego Konserwatora Lasów i Głównego Konserwatora Dzikiej Przyrody stanu Gujarat (WLP/RTC/28/C/57-59/2023-24).

Dostępność danych i materiałów

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Bibliografia

Pobierz bibliografię

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Informacje

Informacje: Problems of Forensic Sciences (Z Zagadnień Nauk Sądowych), 2024, 138, s. 137 - 152

Typ artykułu: Oryginalny artykuł naukowy

Tytuły:

Angielski: A rapid and non-destructive identification of animal hairs using ATR-FTIR and chemometrics: aproof-of-concept for wildlife forensic applications
Polski: Szybka i nieniszcząca identyfikacja sierści zwierzęcej za pomocą ATR-FTIR i chemometrii: model koncepcyjny do stosowania w dochodzeniu kryminalnym w przestępstwach dotyczących dzikiej fauny

Autorzy

https://orcid.org/0000-0002-8294-6435

Saptarshi Rao
Rashtriya Raksha University
, Indie
https://orcid.org/0000-0002-8294-6435 Orcid
Kontakt z autorem
Wszystkie publikacje autora →

Rashtriya Raksha University
Indie

Rashtriya Raksha University
Indie

Rashtriya Raksha University
Indie

Directorate of Forensic Services
Indie

Publikacja: 10.10.2024

Otrzymano: 11.03.2024

Zaakceptowano: 14.05.2024

Status artykułu: Otwarte __T_UNLOCK

Licencja: CC BY-NC-ND  ikona licencji

Udział procentowy autorów:

Saptarshi Rao (Autor) - 25%
Deepali Jain (Autor) - 25%
JR Gaur (Autor) - 25%
Rajesh Verma (Autor) - 25%

Korekty artykułu:

-

Języki publikacji:

Angielski, Polski