Fourier transform infrared spectroscopy and chemometrics for the discrimination of animal fur types

Autor:	Weixin Xu, Jingjing Xia, Shungeng Min, Yanmei Xiong
Rok vydání:	2021
Předmět:	Principal Component Analysis Spectroscopy Fourier Transform Infrared Animals Discriminant Analysis Animal Fur Chemometrics Least-Squares Analysis Instrumentation Spectroscopy Atomic and Molecular Physics and Optics Analytical Chemistry
Zdroj:	Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy. 274
ISSN:	1873-3557
Popis:	Rapid and reliable animal fur identification has remained a challenge for customs inspection. The accurate distinction between fur types has a significant meaning in implementing the correct tariff policy. A variety of analytical methods have been applied to work on distinguishing animal fur types, with tools of microscopy, molecular testing, mass spectrometry, Fourier transform infrared spectroscopy (FTIR), and Raman spectroscopy. In this research, the capability of attenuated total reflectance Fourier transform infrared spectroscopy (ATR-FTIR) combined with pattern recognition methods was investigated for the discrimination of animal fur in six types. This work was to explore the non-destructive application of ATR-FTIR technique in discriminant analysis of animal fur. All spectra were collected by ATR-FTIR of the wavenumber ranging from 4000 to 650 cm
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d3c8747718c4a038b83ef2478573ca9 https://pubmed.ncbi.nlm.nih.gov/35248857 Zobrazit plný text záznamu Full Text from ScienceDirect