A review of sample preparation methods for the pesticide residue analysis in foods

Abstract: The pesticide residues in foods have received increasing attention as one of the most important food safety issues. Therefore, more strict regulations on the maximum residue limits (MRLs) for pesticides in foods have been established in many countries and health organizations, based on the sensitive and reliable analysis methods of pesticide residues. However, the analysis of pesticide residues is a continuing challenge mainly because of the small quantities of analytes as well as the large amounts of interfering substances which can be co-extracted with them, often leading to experimental errors and damage to the analytical instruments. Thus, extensive sample preparation is often required for the pesticide residue analysis for the effective extraction of the analytes and removal of the interferences. This paper focuses on reviewing the recent development in the sample preparation methods for the pesticide residue analysis in foods since 2006. The methods include: liquid-liquid extraction (LLE), supercritical-fluid extraction (SFE), pressurized-liquid extraction (PLE), microwave-assisted extraction (MAE), ultrasound-assisted extraction (UAE), gel permeation chromatography (GPC), solid-phase extraction (SPE), molecularly imprinted polymers (MIPs), matrix solid-phase dispersion (MSPD), solid-phase micro-extraction (SPME), QuEChERS, cloud point extraction (CPE) and liquid phase micro-extraction (LPME), etc. Particularly their advantages, disadvantages and future perspectives will be discussed.

Location
Deutsche Nationalbibliothek Frankfurt am Main
Extent
Online-Ressource
Language
Englisch

Bibliographic citation
A review of sample preparation methods for the pesticide residue analysis in foods ; volume:10 ; number:3 ; year:2012 ; pages:900-925 ; extent:26
Open chemistry ; 10, Heft 3 (2012), 900-925 (gesamt 26)

Creator
Zhang, Lijin
Liu, Shaowen
Cui, Xinyi
Pan, Canping
Zhang, Ailin
Chen, Fang

DOI
10.2478/s11532-012-0034-1
URN
urn:nbn:de:101:1-2410181716461.478876024119
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
15.08.2025, 7:34 AM CEST

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Associated

  • Zhang, Lijin
  • Liu, Shaowen
  • Cui, Xinyi
  • Pan, Canping
  • Zhang, Ailin
  • Chen, Fang

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