Evidence map›Paper›PMID 35385990›Full record

ArticleEnvironmental monitoring and assessment2022

Multi-residue determination of pesticides in vegetables and assessment of human health risks in Western Himalayan region of India.

Neelam Sharma, Atul Kumar, Siddhartha Singh, Suresh Kumar, Robin Joshi

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Article in Environmental monitoring and assessment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Neelam SharmaDepartment of Chemistry and Biochemistry, CSK Himachal Pradesh Agricultural University, Palampur, India, 176 062.
Atul KumarDepartment of Veterinary Public Health and Epidemiology, CSK Himachal Pradesh Agricultural University, Palampur, India, 176 062. dratul9@gmail.com.ORCID http://orcid.org/0000-0002-9169-4428
Siddhartha SinghDepartment of Basic Sciences and Humanities, Central Agricultural University, Arunachal Pradesh, India.
Suresh KumarDepartment of Agronomy, CSK Himachal Pradesh Agricultural University, Palampur, India, 176 062.
Robin JoshiBiotechnology Division, CSIR-IHBT, Palampur, India, 176 062.

Funding

University Grants Commission 41-1245/2012 (SR)
6 · The paper itself

Abstract

This study was aimed to determine pesticides concentrations in fresh vegetables and assess human health risks in North-Western Himalayan region of India. Vegetable samples (n = 300) collected randomly from different agro-climatic zones were analyzed for 19 pesticides using gas chromatography. Pesticide residues were detected in 116 samples, of which 49 samples exceeded maximum permissible limits established by European Commission. Hexaconazole was most frequently detected in 9.3% samples followed by aldrin (8.3%), alachlor (5.3%), bifenthrin (4.3%), chlorpyrifos (3.7%), metribuzin (2.7%), β-endosulfan, ethion, β-HCH (2%, each), γ-HCH (1.3%), α-HCH, δ-HCH, malathion, heptachlor (1%, each), and α-endosulfan, pendimethalin in 0.7% samples. Human health risk assessment revealed that the percent contribution to acceptable daily intakes of pesticides via dietary intake of vegetables ranged from 0.014 to 39.4% in children and 0.003 to 9.85% in adults. Although hazard index values were < 1 but considering the concentrations of detected pesticide in samples, children were found to be at more risk. Since pragmatic investigations on occurrence of pesticides in vegetables and human health risk assessment from study area have not yet been worked out, so, this study highlights the importance of adopting good agricultural practices, awareness on food safety, monitoring of harmful chemicals in food commodities, and execution of food safety regulations to safeguard environmental and human health.

Indexed as

Pesticide ResiduesPesticidesAdultChildEndosulfanEnvironmental MonitoringFood ContaminationHeptachlorHumansRisk AssessmentVegetablesEndosulfanHeptachlorPesticide ResiduesPesticidesGas chromatographyIndiaPesticide residuesRisk assessmentVegetables

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.