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使用基质辅助激光解吸/电离飞行时间质谱成像技术对小麦叶片表面的杀菌剂残留进行原位定量分析。

In situ quantification of fungicide residue on wheat leaf surfaces using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry imaging technology.

作者信息

Yang Xuerui, Shi Mengyao, Hong Minghui, Hui Zhixin, Pan Jiaqi, Xiu Guangli, Zhou Lei

机构信息

State Environmental Protection Key Lab of Environmental Risk Assessment and Control on Chemical Processes, School of Resources & Environmental Engineering, East China University of Science and Technology, Shanghai 200237, China.

Shanghai Environmental Protection Key Laboratory for Environmental Standard and Risk Management of Chemical Pollutants, School of Resources & Environmental Engineering, East China University of Science and Technology, Shanghai 200237, China.

出版信息

Food Chem X. 2025 Jan 6;25:102162. doi: 10.1016/j.fochx.2025.102162. eCollection 2025 Jan.

DOI:10.1016/j.fochx.2025.102162
PMID:39885919
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11780123/
Abstract

To overcome the time-consuming off-site limitations in conventional pesticide detection, this contribution presents an in situ quantitative analysis detection strategy for pesticides on leaf surfaces using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry imaging technology. Taking fungicide metrafenone as a representative, we initially screened seven commonly used matrices, and identifying α-cyano-4-hydroxycinnamic acid as the most effective one in positive mode. Subsequently, coating the matrix using sublimation spraying method resulted in the highest mass intensity. The optimal combination of operation parameters were established with imaging step size of 30 μm × 30 μm, laser diameter of 75 μm, and laser energy of 4.01 μJ/pulse. Under these conditions, a lowest detection limit of 0.6 ng/mm was reached for metrafenone, demonstrating extremely high sensitivity and strong repeatability. This method exhibits great potential for the analysis of various pesticides, including triadimefon and tebuconazole, thereby offering innovative approaches to the analysis of pesticide residues.

摘要

为克服传统农药检测中耗时的非现场局限性,本文提出一种利用基质辅助激光解吸/电离飞行时间质谱成像技术对叶片表面农药进行原位定量分析的检测策略。以杀菌剂苯氧菌酯为代表,我们首先筛选了七种常用基质,并确定α-氰基-4-羟基肉桂酸为正模式下最有效的基质。随后,采用升华喷涂法涂覆基质可获得最高的质谱强度。确定了最佳操作参数组合,成像步长为30μm×30μm,激光直径为75μm,激光能量为4.01μJ/脉冲。在这些条件下,苯氧菌酯的最低检测限达到0.6ng/mm,显示出极高的灵敏度和很强的重复性。该方法在分析包括三唑酮和戊唑醇在内的各种农药方面具有巨大潜力,从而为农药残留分析提供了创新方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ba9/11780123/51f679560952/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ba9/11780123/7417fc61e3a6/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ba9/11780123/8a75a669a75e/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ba9/11780123/8d143323ceeb/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ba9/11780123/bfca03acd356/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ba9/11780123/50ff7debff00/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ba9/11780123/b0ff2abe1765/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ba9/11780123/51f679560952/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ba9/11780123/7417fc61e3a6/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ba9/11780123/8a75a669a75e/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ba9/11780123/8d143323ceeb/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ba9/11780123/bfca03acd356/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ba9/11780123/50ff7debff00/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ba9/11780123/b0ff2abe1765/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ba9/11780123/51f679560952/gr7.jpg

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