Determination of trace chelating carboxylic acids in rice by green extraction combined with liquid chromatography–mass spectrometry analysis and its application in the evaluation of old and new rice

Author:

Kang Yuting1,Wang Yan1,Feng Yufei2,Huang Guoliang1,Qi Fang1,Li Huiru1,Jiang Kezhi1ORCID

Affiliation:

1. College of Material, Chemistry and Chemical Engineering, Key Laboratory of Organosilicon Chemistry and Material Technology of Ministry of Education Hangzhou Normal University Hangzhou China

2. Zhejiang Wuwangnong Seeds Shareholding Co. Ltd Hangzhou China

Abstract

RationaleAccurate identification of old rice samples from new ones benefits their market circulation and consumers. However, the current detection methods are still not satisfactory because of their insufficient accuracy or (and) time‐consuming process.MethodsChelating carboxylic acids (CCAs) were selectively extracted from rice, by stirring with chelating resin and a dilute Na2CO3 solution. The green analytical chemistry guidelines for sample preparation were investigated by using the green chemistry calculator AGREE prep. The extractant was determined by liquid chromatography–mass spectrometry (LC/MS), and statistical analysis of the analytical data was carried out to evaluate the significance of the difference by ChiPlot.ResultsThe limit of quantitation for the CCAs is in the range of 1 to 50 ng/mL, with a reasonable reproducibility. The CCAs in 23 rice samples were determined within a wide concentration range from 0.03 to 1174 μg/g. Intriguingly, the content of citric acid, malonic acid, α‐ketoglutaric acid and cis‐aconite acid in new rice was each found to be distinctively higher than that in old rice by several times. Even mixtures of old and new rice were found to show much difference in the concentration of citric acid and malic acid.ConclusionA green analytical method has been developed for the simultaneous determination of CCAs by LC/MS analysis, and the identification of old rice samples from new ones was easily carried out according to their CCA content for the first time. The results indicated that the described method has powerful potential for the accurate identification of old rice samples from new ones.

Funder

Natural Science Foundation of Zhejiang Province

Hangzhou Normal University

Publisher

Wiley

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