Evidence map›Paper›PMID 37436615›Full record

ArticleJournal of fluorescence2024

An Advanced Molecularly Imprinted Photochemical Sensor Based Carbon Quantum dots for Highly Sensitive Detection of Chloramphenicol in Food.

Hao Liu, Jing Yang, Xuyuan Sun, Peijie Wu, Guan Wang, Yan Huang, Li Li, Yaping Ding

Abstract read
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In one paragraph

Article in Journal of fluorescence, 2024. 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.

Hao LiuDepartment of Chemistry, College of Sciences, Shanghai University, Shanghai, 200444, PR China.
Jing YangDepartment of Chemistry, College of Sciences, Shanghai University, Shanghai, 200444, PR China.
Xuyuan SunDepartment of Chemistry, College of Sciences, Shanghai University, Shanghai, 200444, PR China.
Peijie WuDepartment of Chemistry, College of Sciences, Shanghai University, Shanghai, 200444, PR China.
Guan WangDepartment of Chemistry, College of Sciences, Shanghai University, Shanghai, 200444, PR China.
Yan HuangDepartment of Chemistry, College of Sciences, Shanghai University, Shanghai, 200444, PR China.
Li LiDepartment of Chemistry, College of Sciences, Shanghai University, Shanghai, 200444, PR China. lilidu@shu.edu.cn.
Yaping DingDepartment of Chemistry, College of Sciences, Shanghai University, Shanghai, 200444, PR China. wdingyp@sina.com.

Funding

National Natural Science Foundation of China No. 22274096
6 · The paper itself

Abstract

A facile method which combines the advantages of carbon quantum dots and molecular imprinting technology to design a fluorescence molecular imprinting sensor for the high sensitivity and selective detection of chloramphenicol. The fluorescent molecule imprinted polymers are synthesized by sol-gel polymerization using carbon quantum dots as functional monomers and fluorescent sources, TEOS as crosslinkers, breaking with the traditional understanding of an additional functional monomer. Under optimal experimental, as the concentration of chloramphenicol increases, the fluorescence intensity of the fluorescence molecule imprinting sensor gradually decreases. The concentration of chloramphenicol is linear in the range of 5-100 µg/L and the detection limit is 1 µg/L (N/S = 3). The sensor is able to detect chloramphenicol in milk, enabling the application of real samples. The results show that this work provides an easy method to preparing fluorescent molecular imprinting sensors for the detection of chloramphenicol in milk.

Indexed as

CarbonChloramphenicolMilkMolecular ImprintingQuantum DotsAnimalsFluorescent DyesFood AnalysisFood ContaminationLimit of DetectionPhotochemical ProcessesSpectrometry, FluorescenceCarbonChloramphenicolFluorescent DyesCDsChloramphenicolFluorescent probeMolecular imprintingSol-gel method

Identifiers

PMID37436615

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.