Evidence map›Paper›PMID 36014654›Full record

ReviewNanomaterials (Basel, Switzerland)2022

Construction of Electrochemical Sensors for Antibiotic Detection Based on Carbon Nanocomposites.

Aihemaitijiang Aihaiti, Zongda Li, Yanan Qin, Fanxing Meng, Xinbo Li, Zekun Huangfu, Keping Chen, Minwei Zhang

Abstract readReview
In one paragraph

Review in Nanomaterials (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
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.

Aihemaitijiang AihaitiCollege of Life Science & Technology, Xinjiang University, Urumqi 830017, China.
Zongda LiCollege of Life Science & Technology, Xinjiang University, Urumqi 830017, China.
Yanan QinCollege of Life Science & Technology, Xinjiang University, Urumqi 830017, China.
Fanxing MengCollege of Life Science & Technology, Xinjiang University, Urumqi 830017, China.
Xinbo LiCollege of Life Science & Technology, Xinjiang University, Urumqi 830017, China.
Zekun HuangfuCollege of Life Science & Technology, Xinjiang University, Urumqi 830017, China.
Keping ChenXinjiang Huize Foodstuff Co., Ltd., Wujiaqu City 830073, China.
Minwei ZhangCollege of Life Science & Technology, Xinjiang University, Urumqi 830017, China.ORCID 0000-0001-5588-6169

Funding

National Natural Science Foundation of China No: 31960496Natural Science Foundation of Xinjiang Autonomous Region No. 2018D01C040, No. 2019D01C054, No. 2020D01C060the research start-up fund of Xinjiang University No. 4305050102H6Tianshan Innovation Team Project in Xinjiang Autonomous Region 2020D14022
6 · The paper itself

Abstract

Excessive antibiotic residues in food can cause detrimental effects on human health. The establishment of rapid, sensitive, selective, and reliable methods for the detection of antibiotics is highly in demand. With the inherent advantages of high sensitivity, rapid analysis time, and facile miniaturization, the electrochemical sensors have great potential in the detection of antibiotics. The electrochemical platforms comprising carbon nanomaterials (CNMs) have been proposed to detect antibiotic residues. Notably, with the introduction of functional CNMs, the performance of electrochemical sensors can be bolstered. This review first presents the significance of functional CNMs in the detection of antibiotics. Subsequently, we provide an overview of the applications for detection by enhancing the electrochemical behaviour of the antibiotic, as well as a brief overview of the application of recognition elements to detect antibiotics. Finally, the trend and the current challenges of electrochemical sensors based on CNMs in the detection of antibiotics is outlined.

Indexed as

antibioticsaptamerscarbon nanotubeselectrochemical activityfunctionalizationgraphenemolecular imprinting

Identifiers

PMID36014654
PMCPMC9414981

What OpenQuestion holds

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Registered trials

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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.