Evidence map›Paper›PMID 42187430›Full record

SynthesisBiosensors2026

Recent Advances in Electrochemical Detection of Antibiotics on Graphene-Based Sensors and Biosensors, Impact and Sustainable Development Challenges: A Systematic Review and Meta-Analysis.

Muhammad Saqib, Mrinal Vashisth, Elena I Korotkova, Amrit L Hui, Stephen O Aremu, Souvik Das, Aniruddha Deb, Nirmal K Hazra, Rachita Saha, Subrata Saha and 1 more

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Biosensors, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Muhammad SaqibChemical Engineering Division, School of Earth Sciences and Engineering, National Research Tomsk Polytechnic University, 30 Lenin Avenue, 634050 Tomsk, Russia.ORCID 0000-0002-4399-4880
Mrinal VashisthHigher Engineering School of Agrobiotech, National Research Tomsk State University, 36 Lenin Avenue, 634050 Tomsk, Russia.ORCID 0000-0002-2205-075X
Elena I KorotkovaChemical Engineering Division, School of Earth Sciences and Engineering, National Research Tomsk Polytechnic University, 30 Lenin Avenue, 634050 Tomsk, Russia.ORCID 0000-0002-5938-9562
Amrit L HuiNational Research Tomsk State University, 36 Lenin Avenue, 634050 Tomsk, Russia.
Stephen O AremuFaculty of General Medicine, Siberian State Medical University, 634050 Tomsk, Russia.ORCID 0000-0002-7473-7254
Souvik DasDepartment of Industrial Design, National Institute of Technology Rourkela, Sundargarh 769008, India.
Aniruddha DebDepartment of Chemical Engineering, Birla Institute of Technology Mesra, Ranchi 835215, India.ORCID 0000-0002-5933-0747
Nirmal K HazraDepartment of Chemistry, Coastal Environmental Studies Research Centre, Egra Sarada Shashi Bhusan College, Vidyasagar University, Egra 721429, India.
Rachita SahaParasitology Laboratory, Department of Zoology, Cooch Behar Panchanan Barma University, Vivekananda Street, Cooch Behar 736101, India.
Subrata SahaParasitology Laboratory, Department of Zoology, Cooch Behar Panchanan Barma University, Vivekananda Street, Cooch Behar 736101, India.
Pradip Kumar KarParasitology Laboratory, Department of Zoology, Cooch Behar Panchanan Barma University, Vivekananda Street, Cooch Behar 736101, India.ORCID 0000-0003-2656-6873

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increasing use of antibiotics around the globe has contributed to an increase in antimicrobial resistance and become a major risk to both public health and sustainable development. Reliable and fast detection of antibiotic residues in clinical, agricultural, and environmental matrices is required to monitor antimicrobial resistance effectively. The conventional analytical techniques are sensitive, but they are also expensive, complex and lacking in portability. Voltammetry is a recently emerging electrochemical detection technique that is low-cost and rapid. To the best of our knowledge, for the first time, a meta-analysis was conducted on graphene-based electrochemical sensors and biosensors for antibiotic detection over the last decade. This systematic review critically examines the analytical properties of sensors and biosensors, the physicochemical properties of antibiotics, adsorption characteristics, and the use of nanoparticles to improve the selectivity and sensitivity of devices. This review critically examines the cost-effectiveness, scalability, and practicality of point-of-use devices using graphene-based sensors and biosensors. This systematic review also discusses the potential risks to human health from antibiotic contamination and the role of monitoring in contributing to achieving the UN's Sustainable Development Goals. This systematic review identifies a gap between developing sensors in laboratories versus their deployment as field-deployable devices; it highlights challenges associated with stability, matrix effects and the complexity of manufacturing devices. Finally, it provides recommendations for future research that may help to address this gap to promote the transition of innovative devices from academic to practical applications.

Indexed as

Anti-Bacterial AgentsBiosensing TechniquesElectrochemical TechniquesGraphiteHumansSustainable DevelopmentAnti-Bacterial AgentsGraphiteantibioticantimicrobial resistance monitoringelectrochemical methodenvironmental biosensorgraphene oxidepoint-of-care diagnosticsreduced graphene oxidesensorssustainable development goalssystematic review

Identifiers

PMID42187430
PMCPMC13204706

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.