Evidence map›Paper›PMID 36693955›Full record

ArticleAnalytical and bioanalytical chemistry2024

Development and inter-laboratory validation of analytical methods for glufosinate and its two metabolites in foods of plant origin.

Yangliu Wu, Yilu Zhou, Xun Jiao, Yongxin She, Wenbo Zeng, Hailan Cui, Canping Pan

Abstract read
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In one paragraph

Article in Analytical and bioanalytical chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

1 citing paper in PubMed, 9 citations in OpenAlex.

  1. 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

7 authors at 4 institutions in 1 country.

Yangliu WuInnovation Center of Pesticide Research, Department of Applied Chemistry, College of Science, China Agricultural University, 2 Yuanmingyuan Western Road, Haidian District, Beijing, 100193, China.
Yilu ZhouInnovation Center of Pesticide Research, Department of Applied Chemistry, College of Science, China Agricultural University, 2 Yuanmingyuan Western Road, Haidian District, Beijing, 100193, China.
Xun JiaoInstitute of Quality Standard and Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Yongxin SheInstitute of Quality Standard and Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Wenbo ZengInnovation Center of Pesticide Research, Department of Applied Chemistry, College of Science, China Agricultural University, 2 Yuanmingyuan Western Road, Haidian District, Beijing, 100193, China.
Hailan CuiInstitute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Canping PanInnovation Center of Pesticide Research, Department of Applied Chemistry, College of Science, China Agricultural University, 2 Yuanmingyuan Western Road, Haidian District, Beijing, 100193, China. canpingp@cau.edu.cn.
China Agricultural University · CNChinese Academy of Agricultural Sciences · CNInstitute of Plant Protection · CNInstitute of Quality Standards and Testing Technology for Agro Products · CN

Funding

National Science and Technology Major Project 2019ZX08013011-006-006
6 · The paper itself

Abstract

Glufosinate is widely used to control various weeds. Glufosinate and its main metabolites have become the focus of attention because of their high water solubility and persistence in aquatic systems. Quantification of the agrochemical product and its metabolite residues is essential for the safety of agricultural products. In this study, a highly specific, simple method was developed to directly determine glufosinate and its metabolite residues in 21 plant origin foods by liquid chromatography with tandem mass spectrometry (LC-MS/MS), and it was validated on 11 foods in five laboratories. Finally, the repeatability limit, reproducibility limit, and uncertainty of the method were calculated based on these validated data and used to support the more accurate detection results. Four different chromatographic columns were used to analyze three target compounds, and the anionic polar pesticide column showed the optimum separation and peak shape. Composition of the mobile phase, extraction solvent, and the clean-up procedure were optimized. The developed method was validated on 21 plant origin foods. The average recoveries were 74-115% for all matrices. The validation results of five laboratories showed this method had a good repeatability (RSD

Indexed as

FoodTandem Mass SpectrometryAminobutyratesChromatography, LiquidReproducibility of ResultsAminobutyratesphosphinothricinGlufosinateMetabolitesPlant origin foodsUncertainty

Identifiers

PMID36693955
OpenAlexW4317891138

What OpenQuestion holds

Textmetadata
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.