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应用 GC-Orbitrap-HRMS 非靶向代谢组学和化学计量学鉴定黑胡椒( L.)和识别地理及加工标志物的可行性。

Feasibility of Applying Untargeted Metabolomics with GC-Orbitrap-HRMS and Chemometrics for Authentication of Black Pepper ( L.) and Identification of Geographical and Processing Markers.

机构信息

Research Group "Analytical Chemistry of Contaminants", Department of Chemistry and Physics, Research Centre for Mediterranean Intensive Agrosystems and Agrifood Biotechnology (CIAIMBITAL), Agrifood Campus of International Excellence (ceiA3), University of Almeria, E-04120 Almeria, Spain.

出版信息

J Agric Food Chem. 2021 May 19;69(19):5547-5558. doi: 10.1021/acs.jafc.1c01515. Epub 2021 May 6.

Abstract

Black pepper is one of the most consumed spices all over the world. Due to its high demand and nutritional value, a metabolomics approach based on GC-Orbitrap-HRMS fingerprinting and chemometrics was applied to assess its geographical traceability and processing authenticity. GC-HRMS-based fingerprints were obtained using a simple ultrasound-assisted extraction method, which may be easily implemented in routine activities of quality control. Unsupervised methods, such as principal component analysis (PCA), were performed for sample overview according to the investigated origins (Brazil, Vietnam, and Sri Lanka) and processing (sterilized vs nonsterilized samples). Further orthogonal partial least squares discriminant analysis (OPLS-DA) models were validated by cross- and external validation, providing satisfactory performance for geographical and processing authentication, as well as excellent predictive ability for further samples. Furthermore, reliable putative identification of 12 key metabolites (markers) was performed, highlighting the feasibility of combining untargeted GC-HRMS analysis with chemometrics for quality control of black pepper.

摘要

黑胡椒是全球消费最多的香料之一。由于其需求量大且营养价值高,因此采用基于 GC-Orbitrap-HRMS 指纹图谱和化学计量学的代谢组学方法来评估其地理溯源和加工真实性。基于 GC-HRMS 的指纹图谱是使用简单的超声辅助提取方法获得的,该方法可轻松应用于常规质量控制活动。采用无监督方法(如主成分分析(PCA))根据所研究的起源(巴西、越南和斯里兰卡)和加工(灭菌和非灭菌样品)对样品进行概述。进一步通过交叉验证和外部验证对正交偏最小二乘判别分析(OPLS-DA)模型进行验证,为地理和加工鉴定提供了令人满意的性能,以及对进一步样品的出色预测能力。此外,还进行了 12 种关键代谢物(标志物)的可靠推定鉴定,突出了将非靶向 GC-HRMS 分析与化学计量学相结合用于黑胡椒质量控制的可行性。

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