Varietal classification and antioxidant activity prediction of Osmanthus fragrans Lour. flowers using UPLC-PDA/QTOF-MS and multivariable analysis
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- 作者：Fei Zhoua ; Jiyu Penga ; Yajing Zhaoa ; Weisu Huangb ; Yirong Jianga ; Maiquan Lia ; Xiaodan Wuc ; Baiyi Lua ; bylu@zju.edu.cn" class="auth_mail" title="E-mail the corresponding author
- 关键词：Osmanthus fragrans Lour. flower ; Varietal classification ; Antioxidant activity ; Partial least squares ; Multiple linear regression ; Successive projections algorithm ; Uninformative variable elimination ; Effective compound
- 刊名：Food Chemistry
- 出版年：2017
- 出版时间：15 February 2017
- 年：2017
- 卷：217
- 期：Complete
- 页码：490-497
- 全文大小：517 K
文摘
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21 compounds were identified by UPLC–PDA/QTOF–MS and used to multivariable analysis.
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Four varieties of O. fragrans flowers were successfully classified by PCA and PLS–DA models.
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Effective compounds were selected by UVE–SPA to predict the antioxidant activity values of DPPH, ABTS and FRAP assays.
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The UVE–SPA–MLR model was the optimal method to predict the antioxidant activity values.
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