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Spectral analysis: A rapid tool for species detection in meat products

Author:
Kumar, Yogesh, Chandrakant Karne, Sanjivani
Source:
Trends in food science & technology 2017 v.62 pp. 59-67
ISSN:
0924-2244
Subject:
adulterated products, animals, chemometrics, human resources, livestock and meat industry, meat, multivariate analysis, species identification, spectral analysis
Abstract:
The adulteration of meat products with undeclared or falsely declared animal species is a major concern all over the world. There are many analytical techniques for meat species identification but are time consuming and require highly skilled personnel. Thus, rapid and robust methods are needed for meat species identification. Spectral analysis techniques are rapid tools which can be used to classify and quantify different animal species in the meat products. Chemometric is data handling tool which can analyze the complex spectral data.This review discusses major spectral analysis techniques suitable for meat species identification. The advantages of different data pre-processing and multivariate analysis techniques are also discussed. The spectral properties or fingerprints of the reference and analyte samples have also been summarized.Various spectral analysis techniques have been used for meat species identification. Some studies revealed the importance of spectral analysis techniques for correct classification of different meat products according to the meat species present in them. However, there are some technical limitations of these methods, and to provide a robust solution to the meat industry, a comprehensive research should be done on these techniques with due consideration of all the limitations and process variables.