Evidence map›Paper›PMID 35811614›Full record

ReviewJournal of pharmaceutical analysis2022

Recent advances in quantum dots-based biosensors for antibiotics detection.

Rui Ding, Yue Chen, Qiusu Wang, Zhengzhang Wu, Xing Zhang, Bingzhi Li, Lei Lin

Open access · goldAbstract readReview
In one paragraph

Review in Journal of pharmaceutical analysis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
7.0field-weighted citation impact, top 2% of its field
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

29 citing papers in PubMed, 136 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. Quantum Dot-Based Luminescent Sensors: Review from Analytical Perspective.International journal of molecular sciences · 2025
    Review
  8. Article
  9. Article
  10. Article
  11. Functionalized Optical Microcavities for Sensing Applications.Nanomaterials (Basel, Switzerland) · 2025
    Review
  12. Review
  13. Application of Nanostructures in Biology and Medicine.International journal of molecular sciences · 2024
    Article
  14. Article
  15. Review
  16. Review
  17. Review
  18. COMikrochimica acta · 2023
    Article
  19. Review
  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

7 authors at 2 institutions in 1 country.

Rui DingSchool of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, 210023, China.
Yue ChenSchool of Nursing, Nanjing Medical University, Nanjing, 211166, China.
Qiusu WangSchool of Environment, Nanjing Normal University, Nanjing, 210023, China.
Zhengzhang WuJiangsu Conat Biological Products Co., Ltd., Taixing, Jiangsu, 225400, China.
Xing ZhangSchool of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, 210023, China.
Bingzhi LiSchool of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, 210023, China.
Lei LinSchool of Environment, Nanjing Normal University, Nanjing, 210023, China.
Nanjing Normal University · CNNanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibiotics are a category of chemical compounds used to treat bacterial infections and are widely applied in cultivation, animal husbandry, aquaculture, and pharmacy. Currently, residual antibiotics and their metabolites pose a potential risk of allergic reactions, bacterial resistance, and increased cancer incidence. Residual antibiotics and the resulting bacterial antibiotic resistance have been recognized as a global challenge that has attracted increasing attention. Therefore, monitoring antibiotics is a critical way to limit the ecological risks from antibiotic pollution. Accordingly, it is desirable to devise new analytical platforms to achieve efficient antibiotic detection with excellent sensitivity and specificity. Quantum dots (QDs) are regarded as an ideal material for use in the development of antibiotic detection biosensors. In this review, we characterize different types of QDs, such as silicon, chalcogenide, carbon, and other doped QDs, and summarize the trends in QD-based antibiotic detection. QD-based sensing applications are classified according to their recognition strategies, including molecularly imprinted polymers (MIPs), aptamers, and immunosensors. We discuss the advantages of QD-derived antibiotic sensors, including low cost, good sensitivity, excellent stability, and fast response, and illustrate the current challenges in this field.

Indexed as

AntibioticAptamerBiosensorImmunosensorMolecularly imprinted polymerQuantum dot

Identifiers

PMID35811614
PMCPMC9257440
OpenAlexW3191930167

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.