Evidence map›Paper›PMID 36936334›Full record

ReviewACS omega2023

Advances in Fluorescent Sensing Carbon Dots: An Account of Food Analysis.

Jixiang Tian, Minmei An, Xiaoang Zhao, Yun Wang, Murtaza Hasan

Abstract readReview
In one paragraph

Review in ACS omega, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
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  5. Review
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  11. Article
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  14. Review
  15. Review
  16. Trends of Nanobiosensors in Modern Agriculture Systems.Applied biochemistry and biotechnology · 2025
    Review
  17. Article
  18. Multimodal Biosensing of Foodborne Pathogens.International journal of molecular sciences · 2024
    Review
  19. Article
  20. 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

5 authors.

Jixiang TianInstitute of Chinese Materia Medica, Academy of Chinese Medical Sciences, Beijing 100700, China.
Minmei AnTaian Traditional Chinese Medicine Hospital, Taian 271000, China.
Xiaoang ZhaoInstitute of Chinese Materia Medica, Academy of Chinese Medical Sciences, Beijing 100700, China.
Yun WangInstitute of Chinese Materia Medica, Academy of Chinese Medical Sciences, Beijing 100700, China.
Murtaza HasanFaculty of Biological and Chemical Sciences, Department of Biotechnology, The Islamia University of Bahawalpur, Bahawalpur 63100, Pakistan.ORCID https://orcid.org/0000-0001-7715-9173

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Illuminating the use of nanomaterials, carbon quantum dots (CQDs) have transfigured the food safety arena because of their bright luminescence, optical properties, low toxicity, and enhanced biocompatibility. Therefore, fluorescent resonance energy transfer, photoinduced electron transfer, and an internal filtering effect mechanism allow precise detection of food additives, heavy metal ions, pathogenic bacteria, veterinary drug residues, and food nutrients. In this review, we describe the primal mechanism of CQD-based fluorescence sensors for food safety inspection. This is an abridged description of the nanodesign and future perspectives of more advanced CQD-based sensors for food safety analysis.

Identifiers

PMID36936334
PMCPMC10018703

What OpenQuestion holds

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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.