Pesticides are among the most important contaminants worldwide due to their wide use, persistence, and toxicity. Their presence in soils is not only important from an environmental point of view, but also for food safety issues, since such residues can migrate from soils to food. However, soils are extremely complex matrices, which present a challenge to any analytical chemist, since the extraction of a wide range of compounds with diverse physicochemical properties, such as pesticides, at trace levels is not an easy task. In this context, the QuEChERS method (standing for quick, easy, cheap, effective, rugged, and safe) has become one of the most green and sustainable alternatives in this field due to its inherent advantages, such as fast sample preparation, the minimal use of hazardous reagents and solvents, simplicity, and low cost. This review is aimed at providing a critical revision of the most relevant modifications of the QuEChERS method (including the extraction and clean-up steps of the method) for pesticide-residue analysis in soils.

This article describes the validation of analytical methods for the determination of Manganese (Mn) and lead (Pb) by graphite furnace atomic absorption spectrometry (GFAAS) in human hair and nail samples. Method validation parameters such as linearity, repeatability, reproducibility, and precision were determined. In addition, the limit of detection (LOD), the limit of quantification (LOQ), and measurement uncertainty were calculated. The developed method was linear in the concentration ranges of 0.001–0.015 and 0.002–0.020 µg·L⁻¹ of Mn and Pb, respectively. The determination coefficients obtained were greater than 0.995. The recoveries obtained after the addition of the standard concentration for the metals ranged from 84.80–107.98%, with a precision not exceeding 12.97% relative standard deviation. The calculated LOD and LOQ for Mn and Pb are within the ranges established by Commission Regulation (EU) No. 836/2011. The expanded uncertainty was estimated to be less than 9.93–6.59% for Mn and Pb. Matrix effects were also studied, finding a smooth effect in both matrices. The analysis of 30 samples of each type revealed the presence of Mn in 30 and Pb in 13 samples. Overall, the proposed validation method was considered optimal for the determination of Mn and Pb.

The role that Colombia will play in terms of food supply in the coming years has generated a discussion on the agricultural practices implemented, specifically in the use of pesticides. Therefore, this article aims to provide a comprehensive and complete review of the status of pesticide use in the agricultural sector, highlighting the agri-food industry in Colombia. Currently, the use of pesticides has intensified throughout the world, generating a call for attention by governmental entities in terms of regulation. Colombia for the year 2019 presented a rate of use of 7.8 kg/ha of pesticides, placing it among the twenty countries with the highest rate. On the other hand, the quantities and economic benefits of exports and imports are growing steadily. Several organizations have focused their efforts on determining the health consequences that people exposed to chronic and/or acute intoxication may suffer. This has led to cases of cytogenetic, neurocognitive and physical effects, prompting governmental organizations to regulate the use of pesticides. Finally, the need to design pesticide management and handling systems that respond to the needs of producers and the sector, integrating international food safety guidelines, is identified.

This study aimed to determine urine pesticide metabolite concentrations using liquid chromatography and investigate associated exposure factors in a rural area of Bogotá, Colombia. In 2019, 231 urine samples were collected from children aged 7 to 10. Urinary pesticide metabolite concentrations were measured, and a questionnaire was administered to the children’s mothers to collect exposure-related data. Multiple linear regression with log10-transformed concentrations was utilized to identify factors influencing these concentrations. Thirteen pesticide metabolites were detected in urine samples. The highest concentrations were observed in chlorpyrifos (TCP= 1.48 median IQ (0.57-3.5)) and pyrimethanil (2.73 median IQ (4.56 7.67)). Log-10 transformed metabolites of chlorpyrifos and profenophos were positively associated with maternal pesticide use (β = 0.13, 95%CI 0.04-0.2) and (β: 0.16 95%CI 0.0-0.3), respectively. In conclusion, this study unveiled widespread exposure to multiple pesticides and determined that pesticide concentrations in urine samples were influenced by both para-occupational and environmental exposure factors among schoolchildren.