What does this research mean for the field?

A modified QuEChERS extraction coupled with LC-MS/MS provides a highly sensitive, accurate, and high-throughput method for the simultaneous quantification of pesticide residues and aflatoxins in rice that meets international regulatory standards. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To develop and validate a streamlined, generic LC-MS/MS method for the simultaneous screening and quantification of pesticide residues and aflatoxins in rice.

September 3, 2026Journal of AOAC International

A Generic Approach for Simultaneous Screening and Quantification of Aflatoxins and Pesticide Residues in Rice by LC-MS/MS: Single Laboratory Validation

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Authors

DODasharath Oulkar RGRavinder Goyal USUjjwal Sharma

Discussion

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Overview

Method validation study demonstrates a sensitive single-extraction LC-MS/MS workflow for detecting pesticides and aflatoxins in rice, highlighting compliance with international safety limits.

Key Points

To develop and validate a streamlined, generic LC-MS/MS method for the simultaneous screening and quantification of pesticide residues and aflatoxins in rice.
Extracted rice samples using a modified QuEChERS EN 15662:2018 method with acidified acetonitrile, followed by dispersive solid-phase extraction cleanup.
Conducted analysis via UHPLC coupled to a triple quadrupole mass spectrometer using heated electrospray ionization in time-scheduled selected reaction monitoring mode.
Evaluated validation parameters using matrix-matched calibration in accordance with European SANTE criteria and regulatory standards.
Acidified extraction increased analyte response by 3- to 5-fold, enabling limits of quantification (LOQs) of 0.0005 mg/kg for both pesticides and aflatoxins.
Matrix-matched calibration curves were linear across 0.0005–0.050 mg/kg for pesticides and 0.0002–0.010 mg/kg (0.2–10 µg/kg) for aflatoxins, displaying R² ≥ 0.99 and residuals within ±20%.
Analyte recoveries ranged from 70% to 120% with precision values of ≤20% relative standard deviation across all tested spike levels.

Cite This Study

Oulkar et al. (2026) studied this question.

synapsesocial.com/papers/6a99352e636c6408cfa7d262 https://doi.org/10.1093/jaoacint/qsag084

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September 3, 2026Journal of AOAC International

A Generic Approach for Simultaneous Screening and Quantification of Aflatoxins and Pesticide Residues in Rice by LC-MS/MS: Single Laboratory Validation

View Full Paper

Ask AI

Bookmark

Authors

DODasharath Oulkar RGRavinder Goyal USUjjwal Sharma

Discussion

Member takes

Overview

Method validation study demonstrates a sensitive single-extraction LC-MS/MS workflow for detecting pesticides and aflatoxins in rice, highlighting compliance with international safety limits.

Key Points

To develop and validate a streamlined, generic LC-MS/MS method for the simultaneous screening and quantification of pesticide residues and aflatoxins in rice.
Extracted rice samples using a modified QuEChERS EN 15662:2018 method with acidified acetonitrile, followed by dispersive solid-phase extraction cleanup.
Conducted analysis via UHPLC coupled to a triple quadrupole mass spectrometer using heated electrospray ionization in time-scheduled selected reaction monitoring mode.
Evaluated validation parameters using matrix-matched calibration in accordance with European SANTE criteria and regulatory standards.
Acidified extraction increased analyte response by 3- to 5-fold, enabling limits of quantification (LOQs) of 0.0005 mg/kg for both pesticides and aflatoxins.
Matrix-matched calibration curves were linear across 0.0005–0.050 mg/kg for pesticides and 0.0002–0.010 mg/kg (0.2–10 µg/kg) for aflatoxins, displaying R² ≥ 0.99 and residuals within ±20%.
Analyte recoveries ranged from 70% to 120% with precision values of ≤20% relative standard deviation across all tested spike levels.

Cite This Study

Oulkar et al. (2026) studied this question.

synapsesocial.com/papers/6a99352e636c6408cfa7d262 https://doi.org/10.1093/jaoacint/qsag084

View Full Paper

Ask AI

Bookmark