Application of Vis-NIR and SWIR spectroscopy for the segregation of bison muscles based on their color stability

Autor:	Md Mahmudul Hasan, Muhammad Mudassir Arif Chaudhry, Chyngyz Erkinbaev, Jitendra Paliwal, Surendranath P. Suman, Argenis Rodas-Gonzalez
Rok vydání:	2021
Předmět:	Spectroscopy Near-Infrared Bison Radio Waves Muscles Animals Least-Squares Analysis Food Science
Zdroj:	Meat science. 188
ISSN:	1873-4138
Popis:	The study objective was to investigate the potential for using visible near-infrared (Vis-NIR) and short wave infrared (SWIR) spectroscopy to segregate bison portions based on muscle types and storage periods. In the Vis-NIR range, the principal component analysis showed clear segregation of the muscles based on storage at retail display d 4 whereas the discrimination based on muscle type was better portrayed in the SWIR region. Furthermore, partial least squares discriminant analysis (PLS-DA) models classified muscles based on muscle type and storage in the Vis-NIR range with the classification accuracy of 97% for calibration and 86% for cross-validation. Finally, the PLS-regression models were developed for the successful prediction of a* value with an R
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc77c00a65a5f8562f212d0785e94a33 https://pubmed.ncbi.nlm.nih.gov/35231868 Zobrazit plný text záznamu Full Text from ScienceDirect