Evidence map›Paper›PMID 36852208›Full record

ReviewJournal of analytical methods in chemistry2023

Bibliometrics Analysis of Research Progress of Electrochemical Detection of Tetracycline Antibiotics.

Dihua Wu, Hassan Karimi-Maleh, Xiaozhu Liu, Li Fu

Abstract readReview
In one paragraph

Review in Journal of analytical methods in chemistry, 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

4 authors.

Dihua WuCollege of Materials and Environmental Engineering, Hangzhou Dianzi University, Hangzhou 310018, China.ORCID https://orcid.org/0000-0003-4362-8722
Hassan Karimi-MalehSchool of Resources and Environment, University of Electronic Science and Technology of China, P.O. Box 611731, Xiyuan Ave, Chengdu 610056, China.ORCID https://orcid.org/0000-0002-1027-481X
Xiaozhu LiuDepartment of Cardiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China.ORCID https://orcid.org/0000-0002-7800-3100
Li FuCollege of Materials and Environmental Engineering, Hangzhou Dianzi University, Hangzhou 310018, China.ORCID https://orcid.org/0000-0002-5957-7790

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tetracycline is a broad-spectrum class of antibiotics. The use of excessive doses of tetracycline antibiotics can result in their residues in food, posing varying degrees of risk to human health. Therefore, the establishment of a rapid and sensitive field detection method for tetracycline residues is of great practical importance to improve the safety of food-derived animal foods. Electrochemical analysis techniques are widely used in the field of pollutant detection because of the simple detection principle, easy operation of the instrument, and low cost of analysis. In this review, we summarize the electrochemical detection of tetracycline antibiotics by bibliometrics. Unlike the previously published reviews, this article reviews and analyzes the development of this topic. The contributions of different countries and different institutions were analyzed. Keyword analysis was used to explain the development of different research directions. The results of the analysis revealed that developments and innovations in materials science can enhance the performance of electrochemical detection of tetracycline antibiotics. Among them, gold nanoparticles and carbon nanotubes are the most used nanomaterials. Aptamer sensing strategies are the most favored methodologies in electrochemical detection of tetracycline antibiotics.

Identifiers

PMID36852208
PMCPMC9966827

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.