Evidence map›Paper›PMID 36613439›Full record

ArticleFoods (Basel, Switzerland)2023

Improved LC/MS/MS Quantification Using Dual Deuterated Isomers as the Surrogates: A Case Analysis of Enrofloxacin Residue in Aquatic Products.

Yunyu Tang, Guangxin Yang, Essy Kouadio Fodjo, Shouying Wang, Wenlei Zhai, Wenshuai Si, Lian Xia, Cong Kong

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Yunyu TangKey Laboratory of Control of Quality and Safety for Aquatic Products, Ministry of Agriculture and Rural Affairs, East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai 200090, China.ORCID 0000-0002-7950-2083
Guangxin YangKey Laboratory of Control of Quality and Safety for Aquatic Products, Ministry of Agriculture and Rural Affairs, East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai 200090, China.
Essy Kouadio FodjoLaboratory of Constitution and Reaction of Matter, UFR SSMT, Université Felix Houphouet Boigny, 22 BP 582 Abidjan 22, Côte d'Ivoire.ORCID 0000-0002-7915-7216
Shouying WangInstitute for Agri-Food Standards and Testing Technology, Shanghai Academy of Agricultural Sciences, Shanghai 201403, China.
Wenlei ZhaiInstitute of Quality Standard and Testing Technology, Beijing Academy of Agriculture and Forestry Science, Beijing 100097, China.
Wenshuai SiInstitute for Agri-Food Standards and Testing Technology, Shanghai Academy of Agricultural Sciences, Shanghai 201403, China.
Lian XiaSchool of Chemistry and Chemical Engineering, Qufu Normal University, Qufu 273165, China.
Cong KongKey Laboratory of Control of Quality and Safety for Aquatic Products, Ministry of Agriculture and Rural Affairs, East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai 200090, China.ORCID 0000-0001-8084-2133

Funding

National Natural Science Foundation of China 31701698the Central Public-interest Scientific Institution Basal Research Fund, ECSFR, CAFS 2018T02
6 · The paper itself

Abstract

Extensive and high residue variations in enrofloxacin (ENR) exist in different aquatic products. A novel quantitative method for measuring ENR using high-performance liquid chromatography-tandem mass spectrometry was developed employing enrofloxacin-

Indexed as

accurate quantificationaquatic animalscontaminant detectiondual isotope surrogatesenrofloxacinenrofloxacin-d3

Identifiers

PMID36613439
PMCPMC9818688

What OpenQuestion holds

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LicenceCC BY
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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.