ReviewADMET & DMPK2024
Label-free and label-based electrochemical detection of disease biomarker proteins.
Review in ADMET & DMPK, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- Chitosan-Modified Gold Nanoparticle-Based Electrochemical Immunosensor for C-Reactive Protein Detection.Bioengineering (Basel, Switzerland) · 2026Article
- Microfluidic platform for understanding Parkinson's disease and α-synuclein conformation.Translational neurodegeneration · 2025Review
- Advances in Food Processing Techniques for Allergenicity Reduction and Allergen Identification.Foods (Basel, Switzerland) · 2025Review
- Sophisticated Interfaces Between Biosensors and Organoids: Advancing Towards Intelligent Multimodal Monitoring Physiological Parameters.Biosensors · 2025Review
- Electrochemical Impedance Spectroscopy-Based Biosensors for Label-Free Detection of Pathogens.Biosensors · 2025Review
- A label-free electrochemical immunosensor on gold-printed electrode for the electrochemical detection of C-reactive protein from blood samples.Mikrochimica acta · 2025Article
- Graphene-Based Plasmonic Antenna for Advancing Nano-Scale Sensors.Nanomaterials (Basel, Switzerland) · 2025Review
- Advances on Electrochemiluminescent Biosensors for TB Biomarkers.ACS sensors · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Biosensors, analytical devices integrating biological sensing elements with physicochemical transducers, have gained prominence as rapid and convenient tools for monitoring human health status using biochemical analytes. Due to its cost-effectiveness, simplicity, portability, and user-friendliness, electrochemical detection has emerged as a widely adopted method in biosensor applications. Crucially, biosensors enable early disease diagnosis by detecting protein biomarkers associated with various conditions. These biomarkers offer an objective indication of medical conditions that can be accurately observed from outside the patient. Method: This review comprehensively documents both label-free and labelled detection methods in electrochemical biosensor techniques. Label-free detection mechanisms elicit response signals upon analyte molecule binding to the sensor surface, while labelled detection employs molecular labels such as enzymes, nanoparticles, and fluorescent tags. Conclusion: The selection between label-free and labelled detection methods depends on various factors, including the biomolecular compound used, analyte type and biological binding site, biosensor design, sample volume, operational costs, analysis time, and desired detection limit. Focusing on the past six years, this review highlights the application of label-free and labelled electrochemical biosensors for detecting protein biomarkers of diseases.
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.