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
Journal of Food and Nutrition Research.
2024,
Vol. 12 No. 4, 216-227
DOI: 10.12691/jfnr-12-4-6
Copyright © 2024 Science and Education PublishingCite this paper: Ge Gao, Ziyan Zhang, Shipeng Gao, Jing Chen, Changlin Cheng, Xinxing Li, Lin Chen, 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.
Correspondence to: Bo Li, State Environmental Protection Key Laboratory of Environmental Planning and Policy Simulation, Chinese Academy of Environmental Planning, Beijing, 100043, China. Email:
libo@caep.org.cnAbstract
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