ReviewBiosensors2023
Recent Advances of Biosensors for Detection of Multiple Antibiotics.
Review in Biosensors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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.
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.
Who cites it
13 citing papers in PubMed.
- Engineering microbial consortia for distributed signal processing.Nature communications · 2026Article
- Improving Clinical Diagnostics and Patient Care through Artificial Intelligence and Biosensor Technologies.ACS omega · 2026Review
- Preparation of doped Mn, N-CDs and their application in the detection of ampicillin.Scientific reports · 2025Article
- Development of a Multiplex Lateral Flow Immunoassay for the Detection of Antibiotics in Milk Utilizing Lyophilized Gold Nanoparticle Conjugates.Biosensors · 2025Article
- Amino-Functionalized Metal-Organic Framework as Fluorescence Probe for Cell Imaging and Doxorubicin Detection.Journal of fluorescence · 2025Article
- From lab to field: revolutionizing antibiotic detection with aptamer-based biosensors.RSC advances · 2025Review
- A non-enzymatic doxycycline absorbance sensor based on manganese-doped zinc sulfide nanoparticles coated with chitosan.PloS one · 2025Article
- Mitigating Antibiotic Resistance: The Utilization of CRISPR Technology in Detection.Biosensors · 2024Review
- Enzyme-free biosensor utilizing chitosan-capped ZnS doped by Mn nanomaterials for tetracycline hydrochloride detection.Heliyon · 2024Article
- Optimisation of electrochemical sensors based on molecularly imprinted polymers: from OFAT to machine learning.Analytical and bioanalytical chemistry · 2024Review
- Sensing Levofloxacin with an RNA Aptamer as a Bioreceptor.Biosensors · 2024Article
- Review
- Microbial Fuel Cells as Effective Tools for Energy Recovery and Antibiotic Detection in Water and Food.Micromachines · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
The abuse of antibiotics has caused a serious threat to human life and health. It is urgent to develop sensors that can detect multiple antibiotics quickly and efficiently. Biosensors are widely used in the field of antibiotic detection because of their high specificity. Advanced artificial intelligence/machine learning algorithms have allowed for remarkable achievements in image analysis and face recognition, but have not yet been widely used in the field of biosensors. Herein, this paper reviews the biosensors that have been widely used in the simultaneous detection of multiple antibiotics based on different detection mechanisms and biorecognition elements in recent years, and compares and analyzes their characteristics and specific applications. In particular, this review summarizes some AI/ML algorithms with excellent performance in the field of antibiotic detection, and which provide a platform for the intelligence of sensors and terminal apps portability. Furthermore, this review gives a short review of biosensors for the detection of multiple antibiotics.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.