Metabolomic analysis of the serum and urine of rats exposed to diazinon, dimethoate, and cypermethrin alone or in combination

Pesticide residues: Bridging the gap between environmental exposure and chronic disease through omics

Pesticide residues, resulting from agricultural practices, pose significant health and environmental risks. This review synthesizes the current understanding of pesticide impacts on the immune system, highlighting their role in chronic diseases such as asthma, diabetes, Parkinson's disease (PD) and cancer. We emphasize the significant role of omics technologies in the study of pesticide toxicity mechanisms. The integration of genomics, proteomics, metabolomics, and epigenomics offers a multidimensional strategy for a comprehensive assessment of pesticide effects, facilitating personalized risk management and policy formulation. We advocate for stringent regulatory policies, public education, and global cooperation to enhance food safety and environmental sustainability. By adopting a unified approach, we aim to mitigate the risks of pesticide residues, ensuring human health and ecological balance are preserved.

Method development of multi pesticide residue analysis in country beans collected from Dhaka, Bangladesh, and their dietary risk assessment

The aim of the study was to develop a modified QuEChERS method coupled with liquid chromatography-tandem mass spectrometry (LC-MS/MS) for the simultaneous determination of five multi-class pesticides in country beans collected from Dhaka, Bangladesh. Pesticides were extracted using ACN, and to minimize the co-extraction matrix, optimized d-SPE cleanup was done using sorbents (GCB, PSA, and C18). In the calibration range, the method showed excellent linearity with a correlation coefficient of R2 ≥ 0.9990 both in solvent- and matrix-matched calibration. For the selected pesticides, average recoveries (at four spiking levels (n = 5) of 10, 20, 100, and 200 µg/kg) of 70-100 % were achieved with relative standard deviations (RSDs) ≤ 9.5 %. The limit of detection (LOD) and limit of quantification (LOQ) ranged from 0.3333 to 1.3333 μg/kg and 1.0 to 4.0 μg/kg, respectively. The dietary risk assessment, in terms of hazard quotient (HQ), was calculated to assess consumers' health risks.