Evidence map›Paper›PMID 36831999›Full record

ReviewBiosensors2023

Current Progress of Ratiometric Fluorescence Sensors Based on Carbon Dots in Foodborne Contaminant Detection.

Jialu Zhang, Huinan Chen, Kaidi Xu, Dongmei Deng, Qixian Zhang, Liqiang Luo

Abstract readReview
In one paragraph

Review in Biosensors, 2023. 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. Review
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Fluorescence Study of PrJournal of fluorescence · 2024
    Article
  8. 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

6 authors.

Jialu ZhangSchool of Medicine, Shanghai University, Shanghai 200444, China.
Huinan ChenCollege of Sciences, Shanghai University, Shanghai 200444, China.
Kaidi XuCollege of Sciences, Shanghai University, Shanghai 200444, China.
Dongmei DengCollege of Sciences, Shanghai University, Shanghai 200444, China.
Qixian ZhangSchool of Materials Science and Engineering, Shanghai University, Shanghai 200436, China.
Liqiang LuoCollege of Sciences, Shanghai University, Shanghai 200444, China.ORCID 0000-0002-5551-3861

Funding

National Natural Science Foundation of China 61971274National Natural Science Foundation of China 62171268
6 · The paper itself

Abstract

Carbon dots (CDs) are widely used in the detection of foodborne contaminants because of their biocompatibility, photoluminescence stability, and ease of chemical modification. In order to solve the interference problem of complexity in food matrices, the development of ratiometric fluorescence sensors shows great prospects. In this review, the progress of ratiometric fluorescence sensors based on CDs in foodborne contaminant detection in recent years will be summarized, focusing on the functionalized modification of CDs, the fluorescence sensing mechanism, the types of ratiometric fluorescence sensors, and the application of portable devices. In addition, the outlook on the development of the field will be presented, with the development of smartphone applications and related software helping to better enable the on-site detection of foodborne contaminants to ensure food safety and human health.

Indexed as

Quantum DotsCarbonFluorescenceFluorescent DyesFoodFood SafetyHumansCarbonFluorescent Dyesapplicationcarbon dotsfoodborne contaminantsratiometric fluorescence sensors

Identifiers

PMID36831999
PMCPMC9953573

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.