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Publishing Language: Chinese | Open Access

Metabolomics-Based Identification of Bleached Shellac in Liquid Fruit Wax

Kun LI1,2 Wenwen ZHANG1,2 ( )Baoshan TANG2Shujie XING1Jinju MA2Jing ZHU1Fuhou LEI3Hong ZHANG2 ( )
College of Food, Xinyang Agriculture and Forestry University, Xinyang 464000, China
Institute of Highland Forest Science, Chinese Academy of Forestry, Research Center of Engineering and Technology on Characteristic Forest Resources, State Administration of Forestry and Grassland, Kunming 650233, China
Guangxi Key Laboratory of Chemistry and Engineering of Forest Products, Guangxi Collaborative Innovation Center for Chemistry and Engineering of Forest Products, Guangxi Minzu University, Nanning 530006, China
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Abstract

The purpose of this study was to identify whether liquid fruit waxes could be added with bleached shellac. The compounds of bleached shellac from different sources were analyzed by targeted metabolomics based on liquid chromatography-quadrupole time-of-flight mass spectrometry (LC-QTOF-MS) combined with liquid chromatography with evaporative light scattering detection. Twelve target compounds were selected by multivariate statistical analysis including unsupervised principal component analysis (PCA) and supervised partial least squares discriminant analysis (PLS-DA). According to variable importance in the projection (VIP) value, five differential compounds and seven shared compounds were identified. Finally, the viability of this method in the detection of commercial liquid fruit wax products was verified using the shared compounds as biomarkers. These results showed that chromatography combined with mass spectrometry can identify whether bleached shellac could be added in liquid fruit wax.

CLC number: Q599;S713;TQ917 Document code: A Article ID: 1002-6630(2023)14-0377-07

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Food Science
Pages 377-383

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Cite this article:
LI K, ZHANG W, TANG B, et al. Metabolomics-Based Identification of Bleached Shellac in Liquid Fruit Wax. Food Science, 2023, 44(14): 377-383. https://doi.org/10.7506/spkx1002-6630-20220110-074

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Received: 10 January 2022
Published: 25 July 2023
© Beijing Academy of Food Sciences 2023.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).