Comprehensive monitoring of 222 pesticide residues in Iranian roasted coffee beans using GC-MS/MS

In this study, a modified "Quick, Easy, Cheap, Effective, Rugged, and Safe" (QuEChERS) sample preparation method, utilizing gas chromatography tandem mass spectrometry (GC-MS/MS), was employed for the simultaneous analysis of 222 pesticides in roasted coffee beans. The range and linearity of calibration curves, as well as the accuracy and intermediate precision, were assessed using spiked samples. Additionally, the Limits of Detection (LOD) and Quantitation (LOQ) were evaluated. The method has been linear in the 0.01-0.1 mg kg<sup>-1</sup> range. For most analytes, the mean recovery and Relative Standard Deviation (% RSD) were within the 70-120% range and under 20%, respectively. The mean recovery for all pesticides was 100.92 ± 10.69% at 0.015 mg kg<sup>-1</sup>, 107.61 ± 7.77% at 0.03 mg kg<sup>-1</sup>, and 96.63 ± 9.07% at 0.06 mg kg<sup>-1</sup>. Method validation demonstrated quantification capabilities for 222 analytes, with LOQs of 0.01 mg kg<sup>-1</sup> for 194 pesticides (87.4%), 0.015 mg kg<sup>-1</sup> for 26 compounds (11.7%), and 0.02 mg kg<sup>-1</sup> for the remaining 2 analytes (0.9%). Upon comparing the results with the requirements of SANTE/11312, it is evident that the method meets the necessary criteria to ensure the quality control of real samples. Out of 16 tested real coffee bean samples, three Arabica coffee bean samples contained residues of Flutriafol below the LOQ.

Authors

Institutions

Publication Details

Journal
Analytical Methods
Published
2025-01-01
DOI
https://doi.org/10.1039/d5ay00508f
Primary Topic
Pesticide Residue Analysis and Safety
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comprehensive monitoring of 222 pesticide residues in Iranian roasted coffee beans using GC-MS/MS

Maryam Amirahmadi, Shokoufeh Goudarzi, Amin Mousavi Khaneghah, Ali Asadı et al.
Analytical Methods
Pesticide Residue Analysis and Safety
article

Comprehensive monitoring of 222 pesticide residues in Iranian roasted coffee beans using GC-MS/MS

Maryam Amirahmadi, Shokoufeh Goudarzi, Amin Mousavi Khaneghah, Ali Asadı, Saeedreza Pakzad, Bahram Daraei, Yana Artemovna Firsukova
article en

Abstract

In this study, a modified "Quick, Easy, Cheap, Effective, Rugged, and Safe" (QuEChERS) sample preparation method, utilizing gas chromatography tandem mass spectrometry (GC-MS/MS), was employed for the simultaneous analysis of 222 pesticides in roasted coffee beans. The range and linearity of calibration curves, as well as the accuracy and intermediate precision, were assessed using spiked samples. Additionally, the Limits of Detection (LOD) and Quantitation (LOQ) were evaluated. The method has been linear in the 0.01-0.1 mg kg<sup>-1</sup> range. For most analytes, the mean recovery and Relative Standard Deviation (% RSD) were within the 70-120% range and under 20%, respectively. The mean recovery for all pesticides was 100.92 ± 10.69% at 0.015 mg kg<sup>-1</sup>, 107.61 ± 7.77% at 0.03 mg kg<sup>-1</sup>, and 96.63 ± 9.07% at 0.06 mg kg<sup>-1</sup>. Method validation demonstrated quantification capabilities for 222 analytes, with LOQs of 0.01 mg kg<sup>-1</sup> for 194 pesticides (87.4%), 0.015 mg kg<sup>-1</sup> for 26 compounds (11.7%), and 0.02 mg kg<sup>-1</sup> for the remaining 2 analytes (0.9%). Upon comparing the results with the requirements of SANTE/11312, it is evident that the method meets the necessary criteria to ensure the quality control of real samples. Out of 16 tested real coffee bean samples, three Arabica coffee bean samples contained residues of Flutriafol below the LOQ.

Analytical MethodsVol. 17(29)
ITMO University (RU), Iran Nanohealth Committee Food and Drug Organization (IR), Shahid Beheshti University of Medical Sciences (IR)
Openalex Percentile: Top 87%
Pesticide Residue Analysis and Safety
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Comprehensive monitoring of 222 pesticide residues in Iranian roasted coffee beans using GC-MS/MS — Maryam Amirahmadi, Shokoufeh Goudarzi, et al. · Analytical Methods (2025) | TGRS Research Map | TGRS