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Food Chem

Title:		A comparative HS-SPME/GC-MS-based metabolomics approach for discriminating selected japonica rice varieties from different regions of China in raw and cooked form
Author(s):		Zhao Q; Xi J; Xu D; Jin Y; Wu F; Tong Q; Yin Y; Xu X;
Address:		"State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, China; School of Food Science and Technology, Jiangnan University, Wuxi 214122, China. Department of Food Science and Technology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA. Electronic address: yunyin2@vt.edu. State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, China; School of Food Science and Technology, Jiangnan University, Wuxi 214122, China. Electronic address: xmxu@jiangnan.edu.cn"
Journal Title:		Food Chem
Year:		2022
Volume:		20220314
Issue:
Page Number:		132701 -
DOI:		10.1016/j.foodchem.2022.132701
ISSN/ISBN:		1873-7072 (Electronic) 0308-8146 (Linking)
Abstract:		"Japonica rice is widely planted in different regions of China. Rice of different geographical origins may have substantially different economic values. In this study, An untargeted metabolomics based approach using headspace solid-phase microextraction coupled to gas chromatography-mass spectrometry (HS-SPME/GC-MS) was applied to distinguish 27 japonica rice varieties originated from South, Northern and Northeastern China in raw and cooked form, respectively. Orthogonal partial least-squares discriminant analysis (OPLS-DA) models exhibited good geographic discrimination. Sixteen and twenty-two volatiles were selected as the discriminant markers in raw and cooked rice, respectively. However, only hexanal, 3,5-octadien-2-one and 2-butyl-2-octenal were selected both in raw and cooked rice. Markers in raw rice mainly involved in terpenes, lipoxygenases, indole, and shikimate and benzoic acid pathways. Markers in cooked rice were mainly derived from lipid oxidation. The results provided a deeper understanding of volatiles variation of rice in China from different geographic origins"
Keywords:		Biomarkers Gas Chromatography-Mass Spectrometry/methods Metabolomics *Oryza/chemistry Solid Phase Microextraction/methods *Volatile Organic Compounds/analysis Geographical origin Hs-spme/gc-ms Oryza sativa L.Rice Volatile metabolome;
Notes:		"MedlineZhao, Qiyan Xi, Jinzhong Xu, Dan Jin, Yamei Wu, Fengfeng Tong, Qunyi Yin, Yun Xu, Xueming eng England 2022/03/24 Food Chem. 2022 Aug 15; 385:132701. doi: 10.1016/j.foodchem.2022.132701. Epub 2022 Mar 14"