Evidence map›Paper›PMID 35627033›Full record

ArticleFoods (Basel, Switzerland)2022

Boiling, Blanching, and Stir-Frying Markedly Reduce Pesticide Residues in Vegetables.

Kamonrat Phopin, Sompon Wanwimolruk, Chosita Norkaew, Jaruwat Buddhaprom, Chartchalerm Isarankura-Na-Ayudhya

Open access · goldAbstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.4field-weighted citation impact, top 8% of its field
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

4 citing papers in PubMed, 24 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. 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 at 1 institution in 1 country.

Kamonrat PhopinCenter for Research and Innovation, Faculty of Medical Technology, Mahidol University, Bangkok 10700, Thailand.
Sompon WanwimolrukCenter for Research and Innovation, Faculty of Medical Technology, Mahidol University, Bangkok 10700, Thailand.
Chosita NorkaewCenter for Research and Innovation, Faculty of Medical Technology, Mahidol University, Bangkok 10700, Thailand.
Jaruwat BuddhapromCenter for Research and Innovation, Faculty of Medical Technology, Mahidol University, Bangkok 10700, Thailand.
Chartchalerm Isarankura-Na-AyudhyaDepartment of Clinical Microbiology and Applied Technology, Faculty of Medical Technology, Mahidol University, Bangkok 10700, Thailand.
Mahidol University · TH

Funding

Faculty of Medical Technology
6 · The paper itself

Abstract

Nowadays, a lot of produce (fruits and vegetables) sold in many countries are contaminated with pesticide residues, which cause severe effects on consumer health, such as cancer and neurological disorders. Therefore, this study aims to determine whether cooking processes can reduce the pesticide residues in commonly consumed vegetables (Chinese kale and yard long beans) in Thailand. For cooking experiments, the two vegetables were cooked using three different processes: boiling, blanching, and stir-frying. After the treatments, all cooked and control samples were subjected to extraction and GC-MS/MS analysis for 88 pesticides. The results demonstrated that pesticide residues were reduced by 18-71% after boiling, 36-100% after blanching, and 25-60% after stir-frying for Chinese kale. For yard long beans, pesticide residues were reduced by 38-100% after boiling, 27-28% after blanching, and 35-63% after stir-frying. Therefore, cooking vegetables are proven to protect consumers from ingesting pesticide residues.

Indexed as

Chinese kalecookingfood safetypesticide residuesyard long beans

Identifiers

PMID35627033
PMCPMC9141337
OpenAlexW4280492849

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.