农药学学报2023，Vol.25Issue(6)：1222-1237,16.DOI:10.16801/j.issn.1008-7303.2023.0097
功能性Fe3O4纳米颗粒在痕量农药残留分析中的应用研究进展
Research progress on the application of functional Fe3O4 nanoparticles in trace pesticide residue analysis
摘要
Abstract
Ineffectively utilized pesticides can have an impact on food safety through environmental and dietary exposure.This can lead to the formation of trace residues in the human body,which can potentially harm human health.Detecting and analyzing these trace pesticide residues in human samples is challenging due to the complex matrix and low levels of pesticides.Traditional sample pretreatment methods like liquid-liquid extraction and solid-phase extraction are not suitable for this purpose.To address this issue,targeted nano-adsorbents,such as functional Fe3O4 nanoparticles,have been developed.This article introduces the technical advancements of functional Fe3O4 nanoparticles,which have efficient separation characteristics and are used for trace pesticide residue analysis.The article reviews the synthesis methods for the magnetic core of these nanoparticles(chemical co-precipitation,thermal decomposition,solvothermal reaction,etc.),different types of group modifications(natural polymers,carbon-based materials,metal-organic framework materials,inorganic materials,etc.),application matrices(environmental water,fruits,vegetables,and biological samples),as well as the types of pesticides and analysis efficiency.The principles of targeted preparation,application characteristics,and the latest research progress of these nanoparticles were highlighted.The current challenges that need to be addressed and the future prospects for using functional Fe3O4 nanoparticles in the analysis of trace pesticides are also discussed.It provides a theoretical reference for the extended application of new nano-adsorption methods.关键词
农药痕量残留/基质样本/功能性Fe3O4/纳米颗粒/检测分析Key words
trace pesticide residues/matrix samples/functional Fe3O4/nanoparticles/detection and analysis分类
轻工纺织引用本文复制引用
尹雪峰,丁婉,石壮壮,刘炳泽,张晓旭,常巧英..功能性Fe3O4纳米颗粒在痕量农药残留分析中的应用研究进展[J].农药学学报,2023,25(6):1222-1237,16.基金项目
新疆维吾尔自治区天池英才项目(51052300568),新疆维吾尔自治区重点研发专项(2022B02026-3),国家重点研发计划项目(2022YFF1101103). Supported by Xinjiang Uygur Autonomous Region Tianchi Talent Project(No.51052300568),Xinjiang Uygur Autonomous Region Key R&D Project(No.2022B02026-3),National Key R&D Program(No.2022YFF1101103). （51052300568）
