Identification of Meat Species by Using Laser-Induced Breakdown Spectroscopy

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Abstract

The aim of the present study is to identify meat speciesby using laser-induced breakdown spectroscopy (LIBS). Elemental composition differences between meat species were used for meat identification. For this purpose, certain amounts of pork, beef and chicken were collected from different sources and prepared as pellet form for LIBS measurements. The obtained LIBS spectra were evaluated with some chemometric methods, and meat species were qualitatively discriminated with principal component analysis (PCA) method with 83.37% ratio. Pork beef and chicken-beef meat mixtures were also analyzed with partial least square (PLS) method quantitatively. Determination coefficient (R-2) and limit of detection (LOD) values were found as 0.994 and 4.4% for pork adulterated beef, and 0.999 and 2.0% for chicken adulterated beef, respectively. In the light of the findings, it was seen that LIBS can be a valuable tool for quality control measurements of meat as a routine method. (C) 2016 Elsevier Ltd. All rights reserved.

Description

SEZER, Banu/0000-0002-0743-3453; Boyaci, Ismail/0000-0003-1333-060X; Velioglu, Hasan Murat/0000-0002-8275-6965

Keywords

Laser-induced breakdown spectroscopy (LIBS), Multivariate data analysis, Meat identification, Meat adulteration, Principal Component Analysis, Meat, Swine, Spectrum Analysis, Animals, Cattle, Least-Squares Analysis, Chickens, Libs, Meat adulteration, Trace-Elements, Multivariate-Analysis, Origin, Meat identification, Multivariate data analysis, Minced Beef, Raman-Spectroscopy, Foods, Adulteration, Laser-induced breakdown spectroscopy (LIBS), Protein Profiles, Products

Fields of Science

0404 agricultural biotechnology, 04 agricultural and veterinary sciences, 01 natural sciences, 0104 chemical sciences

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123

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119

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118

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122

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CrossRef : 55

Scopus : 139

PubMed : 17

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