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Varietal classification and antioxidant activity prediction of Osmanthus fragrans Lour. flowers using UPLC-PDA/QTOF-MS and multivariable analysis.

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第一作者： Fei,Zhou

第一单位： Zhejiang University, College of Biosystems Engineering and Food Science, Fuli Institute of Food Science, Zhejiang Key Laboratory for Agro-Food Processing, Zhejiang R & D Center for Food Technology and Equipment, Key Laboratory for Agro-Food Risk Assessment of Ministry of Agriculture, Hangzhou 310058, China.

作者： Fei,Zhou ^[1] ; Jiyu,Peng ^[1] ; Yajing,Zhao ^[1] ; Weisu,Huang ^[2] ; Yirong,Jiang ^[1] ; Maiquan,Li ^[1] ; Xiaodan,Wu ^[3] ; Baiyi,Lu ^[4]

作者单位： Zhejiang University, College of Biosystems Engineering and Food Science, Fuli Institute of Food Science, Zhejiang Key Laboratory for Agro-Food Processing, Zhejiang R & D Center for Food Technology and Equipment, Key Laboratory for Agro-Food Risk Assessment of Ministry of Agriculture, Hangzhou 310058, China. ^[1] Zhejiang Economic & Trade Polytechnic, Department of Applied Technology, Hangzhou 310018, China. ^[2] Zhejiang University, Analysis Center of Agrobiology and Environmental Sciences, Hangzhou 310058, China. ^[3] Zhejiang University, College of Biosystems Engineering and Food Science, Fuli Institute of Food Science, Zhejiang Key Laboratory for Agro-Food Processing, Zhejiang R & D Center for Food Technology and Equipment, Key Laboratory for Agro-Food Risk Assessment of Ministry of Agriculture, Hangzhou 310058, China. Electronic address: bylu@zju.edu.cn. ^[4]

关键词 Antioxidant activity Effective compound Multiple linear regression Osmanthus fragrans Lour. flower Partial least squares Successive projections algorithm Uninformative variable elimination Varietal classification