Development of a Surrogate Selection Method for Simultaneous Analysis of Pesticides Based on Grouping of Matrix Effects and Distribution Coefficient

2022 Fiscal Year Final Research Report

• Project/Area Number: 20K15493
• Research Category: Grant-in-Aid for Early-Career Scientists
• Allocation Type: Multi-year Fund
• Review Section: Basic Section 38050:Food sciences-related
• Research Institution: Research Institute of Environment, Agriculture and Fisheries, Osaka Prefecture
• Principal Investigator: Banno Arisa 地方独立行政法人大阪府立環境農林水産総合研究所(環境研究部、食と農の研究部及び水産研究部), その他部局等, 研究員 (60781135)
• Project Period (FY): 2020-04-01 – 2023-03-31
• Keywords: 残留農薬分析 / マトリクス効果 / LC-MS/MS / 多成分一斉分析

Outline of Final Research Achievements

This study has demonstrated that the magnitude of matrix effect (ME) could be significantly different between target crops depending not only on its type but also on other factors like the cultivation area and the results also showed that the tendency of ME differs between leafy vegetables and fruits in the simultaneous analysis of pesticide residues using LC-MS/MS. In addition, this study is the first attempt to analyze the relationship between the molecular descriptors of the target analytes calculated from the structural information in SMILES notation and the ME. It is difficult to estimate the ME only from the information of the analytes since the magnitude of ME differed depending on the combination of the target crops and analytes. However, for the Komatsuna sample, the structural information of the analyte which could be related to ME was suggested.

Free Research Field

残留農薬分析

Academic Significance and Societal Importance of the Research Achievements

MEは精確な分析の妨げとなっている。安定同位体標識内部標準物質（SIL-IS）を用いた内部標準法は農薬の多成分一斉分析においてMEを補正できる有効な方法であるが、補正に適したSIL-ISを選定する科学的な手法はない。本研究は、分析対象化合物の物理化学的特性や構造情報からMEを推測する手法の構築を目的としており、本研究の成果は、食の安全安心ための精確な残留農薬分析法の構築に資する。