Evidence map›Paper›PMID 36217455›Full record

ArticleHeliyon2022

Human health risk assessment of pesticide residues in vegetable and fruit samples in Gujarat State, India.

Sivaperumal P, Rupal Thasale, Dhirendra Kumar, Tejal G Mehta, Riddhi Limbachiya

Abstract read
In one paragraph

Article in Heliyon, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Megatrends and emerging issues: Impacts on food safety.Comprehensive reviews in food science and food safety · 2025
    Review
  9. Review
  10. Review
  11. Article
4 · The record

Corrections and comments

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.

Sivaperumal PICMR- National Institute of Occupational Health, Ahmedabad- 380016, India.
Rupal ThasaleICMR- National Institute of Occupational Health, Ahmedabad- 380016, India.
Dhirendra KumarICMR- National Institute of Occupational Health, Ahmedabad- 380016, India.
Tejal G MehtaICMR- National Institute of Occupational Health, Ahmedabad- 380016, India.
Riddhi LimbachiyaICMR- National Institute of Occupational Health, Ahmedabad- 380016, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study was initiated with the purpose to evaluate possible health risks associated with pesticide residues through consumption of vegetables and fruits by general population of Gujarat, India. A total of 1075 samples comprising of twelve different varieties of commonly consumed food commodities were collected from twenty-five divergent locations in Gujarat. The collected samples were extracted using QuEChERS method and analyzed for the presence of organophosphorus (OPs), organochlorine (OCs) and synthetic pyrethroids (SPs) pesticides using UHPLC-HR/MS, GC-μECD and GC-MS/SIM. The results indicated that 2.3% of vegetable and fruit samples showed the presence of pesticide residues exceeding maximum residue limits (MRLs). The results suggested that, detected residue levels in samples were within safe limits and their consumption will not pose any significant health risk to human. The outcomes present significant information regarding the status of vegetable and fruit contamination and pointed out the prerequisite for further studies with reference to monitoring of pesticides and other toxic contaminants in different samples for assessing cumulative health risk.

Indexed as

Dietary intakeFruits and vegetablesHealth riskHuman consumptionPesticide residues

Identifiers

PMID36217455
PMCPMC9547241

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.