数字农科院2.0

A Green Analytical Method for Differentiating Fresh and Stored Green Teas via Determining Their Tricarboxylic Acid Organic Acids

文献类型： 外文期刊

作者： Guoliang Huang;Yuting Kang;Fang Qi;Yunfeng Chai;Hongyuan Zhang;Kezhi Jiang

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关键词： green pretreatment methods;OTCAs-associated organic matter;tea sample quality testing methods

期刊名称： Rapid Communications in Mass Spectrometry

ISSN： 0951-4198

年卷期： 2025 年 39 卷 19 期

页码：

收录情况： SCIE（2025版） ; ; EI（2025版）

摘要： Rationale: Tea is a popular nonalcoholic beverage; nevertheless, some traders utilize stored tea as a substitute for fresh tea, a practice that has had a nasty effect on the market. Thereby, it is necessary to develop an objective method to distinguish between fresh and stored tea samples.: Methods: In this work, a simple method has been developed for the determination of eight organic acids of the tricarboxylic acids (OTCAs), including citric acid, malic acid, α-ketoglutaric acid, cis-aconitic acid, succinic acid, malonic acid, and fumaric acid, in 38 tea samples. The extraction and pretreatment of OTCA in tea were conducted using a 0.1% formic acid solution and activated carbon.: Results: The LOQ (10 S/N) of the method is between 0.47 and 0.9 ng/mL, the method RSD ≤ 10%, the surface method is stable and reliable, and the AGREEprep score, which corresponds to the method's performance, was calculated to be 0.59, indicating that the method aligns with the principles of green analytical chemistry. Then, these OTCAs in 38 tea samples were simultaneously determined by LC–MS analysis of the extract.: Conclusion: It is noteworthy that distinctive differences in the concentration have been obtained for malic acid, succinic acid, and α-ketoglutaric acid in the fresh tea versus the stored tea, respectively, indicating that these OTCAs can be selected as the potential biomarkers for the differentiation of stored tea samples from fresh ones.:

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