文献类型：期刊文献

英文题名：Quality Assessment and Classification of Goji Berry by an HPLC-based Analytical Platform Coupled with Multivariate Statistical Analysis

作者：Liu, Xuxia[1,2,3];Wang, Han[1,2];Huang, Xinyi[1,2];Guo, Mei[3];Yang, Zhigang[4];Zhang, Kaixue[4];Liu, Jianfei[1,2];Wang, Maohe[1,2,3];Gong, Yuan[1,2];Wei, Jianteng[1,2];Di, Duolong[1,2,3]

第一作者：刘晓霞;刘旭旭;Liu, Xuxia

通信作者：Wei, JT[1];Di, DL[1];Wei, JT[2];Di, DL[2];Di, DL[3]

机构：[1]Chinese Acad Sci, Lanzhou Inst Chem Phys, Key Lab Chem Northwestern Plant Resources, Lanzhou 730000, Gansu, Peoples R China;[2]Chinese Acad Sci, Lanzhou Inst Chem Phys, Key Lab Nat Med Gansu Prov, Lanzhou 730000, Gansu, Peoples R China;[3]Gansu Univ Tradit Chinese Med, Sch Pharm, Prov Key Lab Med Chem & Qual Res Gansu Prov, Lanzhou 730000, Gansu, Peoples R China;[4]Lanzhou Univ, Sch Pharm, Lanzhou 730000, Gansu, Peoples R China

第一机构：Chinese Acad Sci, Lanzhou Inst Chem Phys, Key Lab Chem Northwestern Plant Resources, Lanzhou 730000, Gansu, Peoples R China

通信机构：[1]corresponding author), Chinese Acad Sci, Lanzhou Inst Chem Phys, Key Lab Chem Northwestern Plant Resources, Lanzhou 730000, Gansu, Peoples R China;[2]corresponding author), Chinese Acad Sci, Lanzhou Inst Chem Phys, Key Lab Nat Med Gansu Prov, Lanzhou 730000, Gansu, Peoples R China;[3]corresponding author), Gansu Univ Tradit Chinese Med, Sch Pharm, Prov Key Lab Med Chem & Qual Res Gansu Prov, Lanzhou 730000, Gansu, Peoples R China.|[10735]甘肃中医药大学;

年份：2020

卷号：13

期号：12

起止页码：2222

外文期刊名：FOOD ANALYTICAL METHODS

收录：;EI(收录号：20203509109734);Scopus(收录号：2-s2.0-85089871190);WOS:【SCI-EXPANDED(收录号:WOS:000562651300001)】；

基金：Authors gratefully acknowledge the financial support by the National Science and Technology Major Project (grant number 2018ZX09711001-001-002), the Key Research and Development Program of Gansu Province (grant number 18YF1FA126), the Key Research and Development Program of Ningxia Hui Autonomous Region (grant number 2019BEF02006) and the Major International S&T Cooperation Project from Ministry of Science and Technology of the People's Republic of China (grant number 2016YFE0129000).

语种：英文

外文关键词：HPLC fingerprint; PCA; OPLS-DA; Marker compounds; QC

摘要：Here, a comprehensive approach, based on chromatographic profiles and chemometric methods, was developed for the simultaneous qualitative and quantitative determinations of goji berry. High-performance liquid chromatography with diode-array detection (HPLC-DAD) was employed to acquire the fingerprints of 67 water extracts of goji berries of different varieties and growing years. The results indicated that the correlation coefficients among the samples of the same varieties and growing years were > 0.900, although they varied from 0.726 to 0.986 among samples of different varieties and growing years. Based on these data, the chemometric analysis was applied. Further, principal component analysis (PCA), hierarchical clustering analysis (HCA), and orthogonal partial least squares discriminant analysis (OPLS-DA) were applied for the discrimination of the varieties and the growing years. Moreover, nine marker compounds were obtained as potential references for goji berries of different growing years and 10 other marker components contributed significantly to the varieties differentiation. Precisely, the goji berries of Ningqi No. 7 (N7) and Ningqi No. 9 (N9) were of higher contents than the other three varieties (Ningqi No. 1 (N1), Ningqi No. 5 (N5), and Zhongke Luchuan (ZKLC)), indicating that N7 and N9 were of higher qualities than the others. Conclusively, the chromatographic fingerprint, combined with chemometric methods, could be employed to differentiate the raw materials of different varieties and growing years. Additionally, it could be employed as a rapid and reliable tool for the quality control (QC) of goji berries.