Discrimination of turmeric from different origins in China by MRM-based curcuminoid profiling and multivariate analysis

被引：20

作者：

Jia, Shuailong ^{[1
]}

Sun, Yi ^{[1
]}

Li, Lieyao ^{[1
]}

Wang, Runjing ^{[1
]}

Xiang, Yi ^{[1
]}

Li, Sen ^{[2
]}

Zhang, Yang ^{[3
]}

Jiang, Hongliang ^{[1
]}

Du, Zhifeng ^{[1
]}

机构：

[1] Huazhong Univ Sci & Technol, Tongji Sch Pharm, 13 Hangkong Rd, Wuhan, Hubei, Peoples R China

[2] Huazhong Univ Sci & Technol, Union Hosp, Dept Pharm, Tongji Med Coll, Wuhan, Peoples R China

[3] Hongren Biopharmaceut Inc, Wuhan, Peoples R China

来源：

FOOD CHEMISTRY | 2021年 / 338卷

基金：

中国国家自然科学基金;

关键词：

Turmeric; Curcuminoids; Response surface methodology; Multivariate analysis; OPLS-DA; TANDEM MASS-SPECTROMETRY; ASSISTED EXTRACTION; OPTIMIZATION; IDENTIFICATION; BIOANALYSIS; HERBS;

D O I：

10.1016/j.foodchem.2020.127794

中图分类号：

O69 [应用化学];

学科分类号：

070301 [无机化学];

摘要：

In this research, a three-step strategy was utilized for discriminating turmeric samples from different provinces and regions in China. Firstly, MRM-based UPLC-MS/MS method for chemical profiling of curcuminoids in turmeric samples was established. Then, response surface methodology was applied for optimizing the extraction process of targeted curcuminoids. Finally, multivariate analysis was conducted for systematic characterization of 66 curcuminoids in turmeric. Principal component analysis (PCA) and orthogonal projection to latent structure-discriminant analysis (OPLS-DA) revealed that turmeric samples from Sichuan and other regions could be classified into two distinct groups. Turmeric samples from the same group had similar curcuminoids content distribution. 25 differential curcuminoids were discovered through OPLS-DA, among which most curcuminoids were more abundant in Sichuan. Furthermore, turmeric samples from different provinces could be clearly discriminated based on hierarchical cluster analysis (HCA) using the screened differential curcuminoids.

引用

页数：9

共 39 条

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