Evidence map›Paper›PMID 40277565›Full record

ReviewBiosensors2025

Recent Advances of Fluorescent Aptasensors for the Detection of Antibiotics in Food.

Zheng Liu, Wenyi Yang, Huikai Lin, Mingdi Zhang, Chunyan Sun

Abstract readReview
In one paragraph

Review in Biosensors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

5 authors.

Zheng LiuDepartment of Food Quality and Safety, Jilin University, Changchun 130062, China.
Wenyi YangDepartment of Food Quality and Safety, Jilin University, Changchun 130062, China.
Huikai LinDepartment of Food Quality and Safety, Jilin University, Changchun 130062, China.
Mingdi ZhangDepartment of Food Quality and Safety, Jilin University, Changchun 130062, China.
Chunyan SunDepartment of Food Quality and Safety, Jilin University, Changchun 130062, China.

Funding

Natural Science Foundation of Chongqing CSTB2023NSCQ-MSX0895Natural Science Foundation of Jilin Province 20240101280JCStudent Innovation and Entrepreneurship Training Program of Jilin University 202310183172
6 · The paper itself

Abstract

Antibiotics can accumulate in the body via ingestion, presenting serious health and safety risks to humans, and have garnered extensive international attention in recent years. Meanwhile, aptamers have been applied in the detection of antibiotics, mainly because of their good stability, high specificity, easy synthesis, and low cost. Among various kinds of aptasensors, fluorescent dye-based or nanomaterial-based fluorescent aptasensors serve as highly efficient tools for the rapid quantification of antibiotics owing to their remarkable sensitivity, specificity, and selectivity. In addition, some novel techniques such as aptamer tailoring, signal amplification, and artificial intelligence for aptasensors are also presented. This paper provides a detailed and comprehensive review of fluorescent aptasensors for antibiotic detection. Moreover, it pinpoints the challenges encountered during the development of the aforesaid fluorescent aptasensors and puts forward future research directions.

Indexed as

Anti-Bacterial AgentsAptamers, NucleotideBiosensing TechniquesFood AnalysisFluorescent DyesHumansAnti-Bacterial AgentsAptamers, NucleotideFluorescent Dyesantibioticsaptasensorsdyesfluorescentfoodnanomaterials

Identifiers

PMID40277565
PMCPMC12025019

What OpenQuestion holds

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LicenceCC BY
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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.