Journal of Food and Nutrition Research
ISSN (Print): 2333-1119 ISSN (Online): 2333-1240 Website: https://www.sciepub.com/journal/jfnr Editor-in-chief: Prabhat Kumar Mandal
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Journal of Food and Nutrition Research. 2024, 12(4), 216-227
DOI: 10.12691/jfnr-12-4-6
Open AccessArticle

GC-MS-O Coupled with PLS-DA for Classification and Authentication of Eleven Colorful Pomelo Varieties from China

Ge Gao1, Ziyan Zhang1, Shipeng Gao1, Jing Chen1, Changlin Cheng1, Xinxing Li2, Lin Chen3 and Bo Li4,

1College of Logistics, Beijing Wuzi University, Beijing 101149, China

2College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China

3China International Engineering Consulting Corporation, Beijing 100048, China

4State Environmental Protection Key Laboratory of Environmental Planning and Policy Simulation, Chinese Academy of Environmental Planning, Beijing, 100043, China

Pub. Date: April 24, 2024

Cite this paper:
Ge Gao, Ziyan Zhang, Shipeng Gao, Jing Chen, Changlin Cheng, Xinxing Li, Lin Chen and Bo Li. GC-MS-O Coupled with PLS-DA for Classification and Authentication of Eleven Colorful Pomelo Varieties from China. Journal of Food and Nutrition Research. 2024; 12(4):216-227. doi: 10.12691/jfnr-12-4-6

Abstract

To differentiate eleven colorful pomelo varieties, which came from the main producing area of four geographical province in China, physicochemical properties and sensory evaluation was studied. Headspace solid-phase microextraction (HS-SPME) coupled with gas chromatography-mass spectrometry and olfactometry (GC-MS-O) was used to determinate and characterize volatile components. Olefins, aldehydes, alcohols and ketones represented the most abundant volatile compounds in all varieties of colorful pomelo juices. 38 aroma-active compounds were perceived by the trained panel of judges by using detection frequency analysis method (DFA). Partial least squares-discriminant analysis (PLS-DA) combining DFA analysis was applied to distinguish four main origins of the eleven colorful pomelo varieties from China.

Keywords:
geographical identification colorful pomelo GC-MS PLS-DA

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