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Research Article | Open Access | Just Accepted

Adulteration detection of plant protein beverages by UPLC-MS/MS based on signature peptide of allergen

Yawei NingaZhuo Liua,bZheng Yanga,bJunmei MabYan Zhangb( )Qiang Lib,c( )

a College of Food Science and Biology, Hebei University of Science and Technology, Shijiazhuang 050018, China

b Hebei Food Inspection and Research Institute, Hebei Food Safety Key Laboratory, Key Laboratory of Special Food Supervision Technology for State Market Regulation, Hebei Engineering Research Center for Special Food Safety and Health, Shijiazhuang 050000, China

c Hebei Key Laboratory of Forensic Medicine, College of Forensic Medicine, Hebei Medical University, Shijiazhuang 050017, China

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Abstract

Plant protein beverage adulteration occurs frequently, which may cause health problems for consumers due to the hidden allergens. Hence, a novel method was developed for authentication by UPLC-MS/MS. Almond, peanut, walnut and soybean were hydrolyzed, followed by separation by NanoLC-Triple TOF MS. The obtained fingerprints were identified by ProteinPilotTM combined with Uniprot, and 16 signature peptides were selected. Afterwards, plant protein beverages treated by trypsin hydrolysis were analyzed with UPLC-MS/MS. This method showed a good linear relationship with R2 > 0.99403. The LOQs were 0.015, 0.01, 0.5 and 0.05 g/L for almond, peanut, walnut and soybean, respectively. Mean recoveries ranged from 84.77% to 110.44% with RSDs < 15%. The developed method was successfully applied to the adulteration detection of 31 plant protein beverages to reveal adulteration and false labeling. Conclusively, this method could provide technical support for authentication of plant protein beverages to protect the rights and health of consumers.

Food Science and Human Wellness
Cite this article:
Ning Y, Liu Z, Yang Z, et al. Adulteration detection of plant protein beverages by UPLC-MS/MS based on signature peptide of allergen. Food Science and Human Wellness, 2024, https://doi.org/10.26599/FSHW.2023.9250022

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Received: 12 November 2022
Revised: 20 January 2023
Accepted: 22 February 2023
Available online: 26 February 2024

© 2024 Beijing Academy of Food Sciences.

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

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