Department of Chemical Engineering and Analytical Chemistry, University of Barcelona, Martí i Franquès 1-11, E08028 Barcelona, Spain.
Research Institute in Food Nutrition and Food Safety, University of Barcelona, Recinte Torribera, Av. Prat de la Riba 171, Edifici de Recerca (Gaudí), Santa Coloma de Gramenet, E08921 Barcelona, Spain.
Molecules. 2020 Jun 26;25(12):2942. doi: 10.3390/molecules25122942.
The importance of monitoring bioactive substances as food features to address sample classification and authentication is increasing. In this work, targeted liquid chromatography coupled to high-resolution mass spectrometry (LC-HRMS) polyphenolic and curcuminoid profiles were evaluated as chemical descriptors to deal with the characterization and classification of turmeric and curry samples. The profiles corresponding to bioactive substances were obtained by TraceFinder software using accurate mass databases with 53 and 24 polyphenolic and curcuminoid related compounds, respectively. For that purpose, 21 turmeric and 9 curry samples commercially available were analyzed in triplicate by a simple liquid-solid extraction procedure using dimethyl sulfoxide as extracting solvent. The obtained results demonstrate that the proposed profiles were excellent chemical descriptors for sample characterization and classification by principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA), achieving 100% classification rates. Curcuminoids and some specific phenolic acids such as -cinnamic, ferulic and sinapic acids, helped on the discrimination of turmeric samples; polyphenols, in general, were responsible for the curry sample distinction. Besides, the combination of both polyphenolic and curcuminoid profiles was necessary for the simultaneous characterization and classification of turmeric and curry samples. Discrimination among turmeric species such as vs. , as well as among different varieties (Alleppey, Madras and Erode) was also accomplished.
监测作为食品特征的生物活性物质对于解决样品分类和鉴定的重要性日益增加。在这项工作中,靶向液相色谱-高分辨质谱(LC-HRMS)多酚和姜黄素类物质谱图被评估为化学描述符,以处理姜黄和咖喱样品的特征描述和分类。使用具有 53 种多酚和 24 种姜黄素相关化合物的精确质量数据库,通过 TraceFinder 软件获得生物活性物质的特征谱图。为此,通过简单的液-固萃取程序,使用二甲基亚砜作为提取溶剂,对 21 种姜黄和 9 种咖喱商业上可获得的样品进行了三重分析。所得结果表明,所提出的谱图通过主成分分析(PCA)和偏最小二乘判别分析(PLS-DA)是样品特征描述和分类的极好化学描述符,实现了 100%的分类率。姜黄素类物质和一些特定的酚酸,如肉桂酸、阿魏酸和芥子酸,有助于区分姜黄样品;多酚通常负责咖喱样品的区分。此外,同时对姜黄和咖喱样品进行特征描述和分类,需要结合多酚和姜黄素类物质谱图。还实现了姜黄属不同种(Curcuma longa 与 Curcuma aeruginosa)以及不同(Alleppey、Madras 和 Erode)品种之间的区分。