Shristi Aich Assistant Professor, Department of Forensic Science, Jain University, Bengaluru, Karnataka,, India
Anumita Mazumdar PG Student, Department of Forensic Science, Kristu Jayanti College (Autonomous), Bengaluru, Karnataka, India
Riya Reji PG Student, Department of Forensic Science, Kristu Jayanti College (Autonomous), Bengaluru, Karnataka, India
Aiswarya Jose PG Student, Department of Forensic Science, Kristu Jayanti College (Autonomous), Bengaluru, Karnataka, India
Address for correspondence: Shristi Aich, Assistant Professor, Department of Forensic Science, Jain University, Bengaluru, Karnataka,, India E-mail: shristiaich37807@gmail.com
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Mazumdar A, Reji R, Jose A, et al. Hair Analysis for Pesticide Biomonitoring: Advances in Exposure Assessment and Forensic Applications. J Forensic Chem Toxicol. 2025;11(2):97-108.
Timeline
Received : September 13, 2025
Accepted : October 03, 2025
Published : January 30, 2025
Abstract
Aim: Pesticide exposure poses significant public health risks due to environmental persistence, toxicity, and increasing cases of self-harm through pesticide ingestion. This review evaluates hair as a non-invasive matrix for pesticide biomonitoring, focusing on commonly detected pesticides, extraction and analytical techniques,
and recent advancements for improved sensitivity and accuracy. Methods: A systematic review was conducted on pesticide detection in hair, analyzing extraction and analytical techniques such as Gas ChromatographyMass Spectrometry (GC-MS) and Liquid Chromatography-Mass Spectrometry (LC-MS). Methods were compared based on sensitivity, recovery, and precision to determine their suitability for exposure assessment and forensic investigations. Conclusion: Hair serves as a valuable, non-invasive matrix for pesticide biomonitoring, aiding both environmental exposure studies and forensic toxicology. Continuous advancements in eco-friendly extraction methods and high-sensitivity detection techniques will further refine its applicability. Standardized protocols are
essential for ensuring data comparability and enhancing the reliability of pesticide exposure assessments, particularly in cases of intentional poisoning.
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Data Sharing Statement
There are no additional data available. All raw data and code are available upon request.
Funding
This research received no funding.
Author Contributions
All authors contributed significantly to the work and approve its publication.
Ethics Declaration
This article does not involve any human or animal subjects, and therefore does not require ethics approval.
Acknowledgements
We would like to express our gratitude to the patients, their families, and all those who have contributed to this study.
Conflicts of Interest
No conflicts of interest.
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Cite this article
Mazumdar A, Reji R, Jose A, et al. Hair Analysis for Pesticide Biomonitoring: Advances in Exposure Assessment and Forensic Applications. J Forensic Chem Toxicol. 2025;11(2):97-108.
This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator.
This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator.
Different analytical techniques used for hair pesticide long-term monitoring, along with their advantages and disadvantages
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Key studies on pesticide biomonitoring using hair as a matrix.
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The figure presents the average quantity of chemical and bio-pesticides used across different Indian states between 2018 and 2023. The red line represents chemical pesticide usage, while the green line represents bio-pesticide usage
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The graph illustrates the trend in suicides due to insecticide consumption from 2018 to 2022, categorized by gender
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Boxplot Representation of LOQ, LOD, Recovery, and Precision Distributions