High-throughput simultaneous analysis of multiple pesticides in grain, fruit, and vegetables by GC-MS/MS.

Clicks: 422
ID: 101253
2020
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #4 of 79 articles by views in food additives & contaminants part a, chemistry, analysis, control, exposure & risk assessment

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
A multi-component quantitative GC-MS/MS method for monitoring and inspecting agricultural products was developed for the simultaneous determination of 365 pesticide residues in grain, beans, fruit and vegetables. Twenty-six pesticides that have been authorised in foreign countries but not in Korea were included in the newly adapted Korean positive list system. The method was validated by analysing spiked samples at three concentrations (0.01, 0.05, and 0.1 mg/kg) for brown rice, soy beans, mandarin orange, potato and green pepper matrice, which represented grain, beans, fruit, and vegetables. More than 95% of 365 compounds satisfied the validation criteria of 70-120% recovery and ≤20% relative standard deviation obtained through the proposed simultaneous multi-component analysis. Twenty-two types of pesticides were detected in 76 food samples, whose concentrations were below the maximum residue limits. Among the newly added pesticides, lambda-cyhalothrin, an analogue of cyhalothrin, was detected in peaches. The method can be applied to the analysis and inspection of pesticide residues in domestic and imported agricultural products for safety control.
Reference Key
kang2020highthroughputfood Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Kang, Hye Soon;Kim, MeeKyung;Kim, Eun Jeong;
Journal food additives & contaminants part a, chemistry, analysis, control, exposure & risk assessment
Year 2020
DOI
10.1080/19440049.2020.1732481
URL
Keywords
gc-ms/ms pesticide bean vegetable fruit grain

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.