Skip to main content

Advertisement

Log in

Determination of multi-class pesticide residues in food commodities from Gujarat, India and evaluation of acute and chronic health risk

  • Research Article
  • Published:
Environmental Science and Pollution Research Aims and scope Submit manuscript

Abstract

An increasing concern for food safety has drawn attention to the overuse of pesticides, which pose a risk to public health. The present study determined 61 pesticide residues in 120 samples of cauliflower, green chili, cucumber, grapes, bananas and mangoes samples, and these were collected from markets in Ahmedabad, Gandhinagar, Surendranagar, Anand and Sabarkantha districts of Gujarat state, India. The samples were extracted and analyzed using ultra-high performance liquid chromatography-time of flight mass spectrometry (UHPLC-q-TOF–MS) and Gas chromatography-tandem mass spectrometry (GC–MS/MS). In addition, the health risk assessment associated with pesticide residues were evaluated by calculating the Hazard Quotient (HQ) and Hazard Index (HI), which indicate a value of less than 1 is safe for consumption. Out of 61 pesticide residues, 29 residues were detected in 107 samples; 68 samples showed multiple residues, and 39 samples found a single residue. Pesticides such as dimethoate, λ-cyhalothrin, fenvalerate, bifenthrin, and cyfluthrin were frequently detected in samples. HI in adults and adolescents confirmed a value less than 1 in cauliflower, cucumber, grapes and mango samples and greater than 1 in green chili and banana samples, respectively. The overall results depicted that, no considerable risk was observed in the selected food commodities. However, green chili and banana samples were found to exhibit marginal risk to human health. As a result, proper application, implementation of control plans, and continuous monitoring are required to prevent the risk and safeguard human health.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

Data availability

All analytical datasets are available from the corresponding author. The data will be provided on a reasonable request.

References

Download references

Acknowledgements

The research work was supported by ICMR-National Institute of Occupational Health, Ahmedabad-380016. Further, greatly thankful to the Director in charge, ICMR- National Institute of Occupational Health for guidance and support. We thankful to Mr. Chandrakant G. Parmar for his support during the sampling

Funding

The research study was carried out using the internal resources of the institute.

Author information

Authors and Affiliations

Authors

Contributions

Sivaperumal Perumal: Study Design, Analytical data interpretation, editing the manuscript and supervision. Meghna Mahesh: Sample preparation, experimental work, visualization of data, writing draft manuscript. Divya V. Kottadiyil: Experimental work, data curation, revision and editing of manuscript Tejal G. Mehta: Conducted instrument analysis, acquisition and visualization of data UHPLC-q-TOF/MS. Rupal R. Thasale: Conducted instrument analysis, acquisition and visualization of data in GC–MS/MS.

Corresponding author

Correspondence to Sivaperumal Perumal.

Ethics declarations

Ethics approval

Not applicable.

Consent to participat

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare that no conflict of interest.

Additional information

Responsible Editor: Ester Heath

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 22 KB)

Supplementary file2 (DOCX 22 KB)

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Perumal, S., Mahesh, M., Kottadiyil, D. et al. Determination of multi-class pesticide residues in food commodities from Gujarat, India and evaluation of acute and chronic health risk. Environ Sci Pollut Res 30, 60460–60472 (2023). https://doi.org/10.1007/s11356-023-26651-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11356-023-26651-9

Keywords

Navigation