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Discrimination of Chuanminshen violaceum Sheh et Shen from different regions based on fatty acid profiles of roots and leaves 被引量:3
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作者 Qing Zhang Junrui Tian +4 位作者 Chong Wan Hongmin Dong Dingtao Wu Shuxiang Liu Wen Qin 《Food Quality and Safety》 SCIE CSCD 2020年第2期91-100,共10页
Objectives:The purpose of this paper was to construct a reliable methodology to discriminate the geographical origins of Chuanminshen violaceum Sheh et Shan planted in different regions in Sichuan,China.Materials and ... Objectives:The purpose of this paper was to construct a reliable methodology to discriminate the geographical origins of Chuanminshen violaceum Sheh et Shan planted in different regions in Sichuan,China.Materials and methods:Fatty acid profiles of roots and leaves of C.violaceum planted in various regions of Sichuan Province in China,namely Guangyuan(GY),Langzhong(LZ),Jintang(JT),Bazhong(BZ),and Shuangling(SL),were determined using GC-MS followed by multivariate statistical analyses,including orthogonal partial least-squares discriminant analysis and hierarchical clustering analysis.Results:Leaves of C.violaceum showed the highest contents of hexadecatrienoic acid(3.21 g/kg),linoleic acid(6.62 g/kg),andα-linolenic acid(7.24 g/kg),which were all higher than those contained in roots.Chuanminshen violaceum samples collected from LZ,JT,and GY could be clearly distinguished based on fatty acid profiles of leaves and those collected from LZ,GY,and BZ could be clearly distinguished based on fatty acid profiles of roots.Conclusions:Chemometric method is used as a potential approach for analyses of fatty acid profiles of roots and leaves to control the quality of C.violaceum and their powered products. 展开更多
关键词 Chuanminshen violaceum Sheh et Shan fatty acid profiles geographical discrimination orthogonal partial least-squares discriminant analysis hierarchical clustering analysis
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