Evidence map›Paper›PMID 34100095›Full record

ArticleBulletin of environmental contamination and toxicology2021

Screening and Analysis of Multiclass Veterinary Drug Residues in Animal Source Foods using UPLC-Q-Exactive Orbitrap/MS.

Wentao Zhao, Rui Jiang, Wenping Guo, Chao Guo, Shilei Li, Juanqiang Wang, Shouwei Wang, Yingying Li

Abstract read
In one paragraph

Article in Bulletin of environmental contamination and toxicology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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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

8 authors.

Wentao ZhaoChina Meat Research Center, 100068, Beijing, People's Republic of China.
Rui JiangChina Meat Research Center, 100068, Beijing, People's Republic of China.
Wenping GuoChina Meat Research Center, 100068, Beijing, People's Republic of China.
Chao GuoChina Meat Research Center, 100068, Beijing, People's Republic of China.
Shilei LiChina Meat Research Center, 100068, Beijing, People's Republic of China.
Juanqiang WangChina Meat Research Center, 100068, Beijing, People's Republic of China.
Shouwei WangChina Meat Research Center, 100068, Beijing, People's Republic of China.
Yingying LiChina Meat Research Center, 100068, Beijing, People's Republic of China. ying_sky@126.com.ORCID http://orcid.org/0000-0002-9677-0397

Funding

Beijing Postdoctoral Research Foundation Beijing Postdoctoral Research FoundationNational Key Research and Development Program of China 2017YFC1601706
6 · The paper itself

Abstract

A rapid, simple, and sensitive method of detecting veterinary drug residues in animal food sources, including poultry and pork, was developed and validated. The method was optimized for over 155 veterinary drugs of 21 different classes. Sample pretreatment included a simple solid-liquid extraction step with 0.2% formic acid-acetonitrile-water and a purification step with a PRiME HLB (hydrophile-lipophile balance) solid-phase extraction cartridge. Data were collected using ultra-high-performance liquid chromatography coupled to Quadrupole-Exactive Orbitrap mass spectrometry. The limits of detection of 155 veterinary drugs ranged from 0.1 µg/kg to 10 µg/kg. The recovery rates were between 79.2 and 118.5 % in all matrices studied, with relative standard deviation values less than 15% (n = 6). The evaluated method allows the reliable screening, quantification, and identification of 155 veterinary drug residues in animal source food and has been successfully applied in authentic samples.

Indexed as

Drug ResiduesVeterinary DrugsAnimalsChromatography, High Pressure LiquidMass SpectrometrySolid Phase ExtractionVeterinary DrugsAnimal source foodsQualitative screeningQuantitative determinationUPLC-Q-Exactive Orbitrap/MSVeterinary drug residues

Identifiers

PMID34100095
PMCPMC8346397

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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.