Evidence map›Paper›PMID 29891818›Full record

ReviewBiosensors2018

Aptamer-Based Biosensors for Antibiotic Detection: A Review.

Asol Mehlhorn, Parvaneh Rahimi, Yvonne Joseph

Abstract readReview
In one paragraph

Review in Biosensors, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
82citing papers in PubMed, 1 pooled it
–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

82 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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  9. Article
  10. Strategic Detection ofBiosensors · 2025
    Review
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22 more citing papers are in PubMed but not listed here.

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

3 authors.

Asol MehlhornInstitute of Electronic and Sensory Materials, Faculty of Materials Science and Materials Technology, Technological University Freiberg, Akademie Str. 6, 09599 Freiberg, Germany. Asol.Mehlhorn@esm.tu-freiberg.de.
Parvaneh RahimiInstitute of Electronic and Sensory Materials, Faculty of Materials Science and Materials Technology, Technological University Freiberg, Akademie Str. 6, 09599 Freiberg, Germany. Parvaneh.Rahimi@esm.tu-freiberg.de.
Yvonne JosephInstitute of Electronic and Sensory Materials, Faculty of Materials Science and Materials Technology, Technological University Freiberg, Akademie Str. 6, 09599 Freiberg, Germany. yvonne.joseph@esm.tu-freiberg.de.ORCID 0000-0003-0697-9646

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibiotic resistance and, accordingly, their pollution because of uncontrolled usage has emerged as a serious problem in recent years. Hence, there is an increased demand to develop robust, easy, and sensitive methods for rapid evaluation of antibiotics and their residues. Among different analytical methods, the aptamer-based biosensors (aptasensors) have attracted considerable attention because of good selectivity, specificity, and sensitivity. This review gives an overview about recently-developed aptasensors for antibiotic detection. The use of various aptamer assays to determine different groups of antibiotics, like β-lactams, aminoglycosides, anthracyclines, chloramphenicol, (fluoro)quinolones, lincosamide, tetracyclines, and sulfonamides are presented in this paper.

Indexed as

Anti-Bacterial AgentsAptamers, PeptideBiosensing TechniquesHumansAnti-Bacterial AgentsAptamers, Peptideampicillinantibioticaptameraptasensorbiosensorchloramphenicolciprofloxacindanofloxacindaunomycinenrofloxacingentamicinkanamycinlincomycinneomycinofloxacinoxytetracyclinepenicillinstreptomycinsulfadimethoxinetetracyclinetobramycin

Identifiers

PMID29891818
PMCPMC6023021

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.