Gc-Ims and Multivariate Analyses of Flavors in Different Chinese Breeds of Chickens

22 Pages Posted: 29 Feb 2024

See all articles by hongqiang li

hongqiang li

Gansu Agricultural University

Defu Tang

Gansu Agricultural University

Xiangmin Zhao

Gansu Agricultural University

Shizhen Qin

Gansu Agricultural University

Jinlu Li

Gansu Agricultural University

Bin Xi

affiliation not provided to SSRN

Abstract

This study examined the difference in volatile flavor characteristics among four different local chickens by headspace gas chromatography-ion mobility spectrometry (HS-GC-IMS). In total, 65 volatile organic compounds (VOCs) were identified, of which 43 were annotated, including 17 aldehydes, 12 ketones, 7 alcohols, 5 esters, and 2 acids. The chicken meats from the four breeds exhibited good separation in topographic plots, VOC fingerprinting, and multivariate analysis. Meanwhile, 20 different volatile components, with variable importance in projection value > 1, were selected as potential markers to distinguish different breeds of chicken by partial least squares discriminant analysis. These findings provide insights into the flavor traits of chicken meat. Also, HS-GC-IMS combined with multivariate analysis can be a convenient and powerful method for characterizing different meats.

Keywords: Chicken meat, Different breeds, Flavor compounds, HS-GC-IMS, Multivariate analysis

Suggested Citation

li, hongqiang and Tang, Defu and Zhao, Xiangmin and Qin, Shizhen and Li, Jinlu and Xi, Bin, Gc-Ims and Multivariate Analyses of Flavors in Different Chinese Breeds of Chickens. Available at SSRN: https://ssrn.com/abstract=4742765 or http://dx.doi.org/10.2139/ssrn.4742765

Hongqiang Li

Gansu Agricultural University ( email )

Defu Tang (Contact Author)

Gansu Agricultural University ( email )

China

Xiangmin Zhao

Gansu Agricultural University ( email )

China

Shizhen Qin

Gansu Agricultural University ( email )

China

Jinlu Li

Gansu Agricultural University ( email )

China

Bin Xi

affiliation not provided to SSRN ( email )

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