High-throughput screening of new psychoactive substances and related compounds in food by UHPLC-Q/Orbitrap

IF 9.8 1区 农林科学 Q1 CHEMISTRY, APPLIED
Wenlin Wu , Bing Xia , Shiyao Liu , Xia Huang , Tianrong Guo , Peiyu Shi , Xiaoqi Chen , Quanwei Xiao , Min Zhang , Yuping Wan , Yan Zhou
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Abstract

Currently, there is concern about food products to which new psychoactive substances (NPS) have been added illegally. However, rapid, high-sensitivity, and high-throughput screening methods for such harmful substances have not been reported yet. In this study, a high-throughput non-targeted screening strategy was developed based on UHPLC-Q/Orbitrap. First, optimized pretreatment methods for typical high-risk matrices were established. Second, an accurate, efficient, and scalable high resolution mass spectrometry database containing 206 NPS and related compounds was constructed. The fragmentation pathways of three different types of fentanyl-related compounds were then systematically investigated to enhance compound identification. Additionally, a non-targeted screening strategy was developed using warning ions derived from 24 fentanyl-related compounds, streamlining the identification of NPS. This strategy was applied to 100 food samples with possible illegal additives and demonstrated its effectiveness. In summary, this study provides robust technical support for regulatory authorities in combating the illegal addition of food products.

Abstract Image

Abstract Image

UHPLC-Q/Orbitrap高通量筛选食品中新型精神活性物质及相关化合物
目前,在食品中非法添加新的精神活性物质(NPS)的问题引起了人们的关注。然而,快速、高灵敏度、高通量筛选此类有害物质的方法尚未见报道。本研究建立了一种基于UHPLC-Q/Orbitrap的高通量非靶向筛选策略。首先,建立了典型高风险矩阵的优化预处理方法。其次,构建了包含206个NPS及其相关化合物的准确、高效、可扩展的高分辨率质谱数据库;然后系统地研究了三种不同类型芬太尼相关化合物的破碎途径,以增强化合物的识别。此外,开发了一种非靶向筛选策略,使用来自24种芬太尼相关化合物的警告离子,简化了NPS的识别。该策略已应用于100个可能含有非法添加剂的食品样本,并证明了其有效性。总之,本研究为监管部门打击食品非法添加提供了强有力的技术支持。
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来源期刊
Food Chemistry
Food Chemistry 工程技术-食品科技
CiteScore
16.30
自引率
10.20%
发文量
3130
审稿时长
122 days
期刊介绍: Food Chemistry publishes original research papers dealing with the advancement of the chemistry and biochemistry of foods or the analytical methods/ approach used. All papers should focus on the novelty of the research carried out.
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