ReviewMikrochimica acta2022
Point-of-care biochemical assays using electrochemical technologies: approaches, applications, and opportunities.
Review in Mikrochimica acta, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed, 29 citations in OpenAlex.
- Electrochemical Detection of SMN Protein by Immunosensors: The Role of Surface Modifications in Screen-Printed Carbon Electrodes.Sensors (Basel, Switzerland) · 2026Article
- Engineering graphene oxide interfaces for electrochemical biosensing of biomolecules, cells, and organoids.Nano convergence · 2026Review
- Hilab volt system for electrolyte measurement: a portable solution for point-of-care testing.Scientific reports · 2026Article
- Development of a 3D-Printed Nanocarbon Electrode Modified with Bimetallic Nanoparticles for Enhanced Electrochemical Detection of Dopamine.Micromachines · 2026Article
- Article
- A label-free impedimetric immunosensor based on nitrogen-doped graphene acid for sensitive detection of vitamin DMikrochimica acta · 2025Article
- Nafion in Biomedicine and Healthcare.Polymers · 2025Review
- Nanoplasmonic aptasensor for sensitive, selective, and real-time detection of dopamine from unprocessed whole blood.Science advances · 2024Article
- Addressing Signal Drift and Screening for Detection of Biomarkers with Carbon Nanotube Transistors.ACS nano · 2024Article
- Electrochemical Affinity Biosensors: Pervasive Devices with Exciting Alliances and Horizons Ahead.ACS sensors · 2023Review
- Dual-signal readout paper-based wearable biosensor with a 3D origami structure for multiplexed analyte detection in sweat.Microsystems & nanoengineering · 2023Article
- From Free-Standing to Textile Electrodes: Carbonaceous Biocompatible Material for Wearable Sensing.Healthcare technology lettersArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
Against the backdrop of hidden symptoms of diseases and limited medical resources of their investigation, in vitro diagnosis has become a popular mode of real-time healthcare monitoring. Electrochemical biosensors have considerable potential for use in wearable products since they can consistently monitor the physiological information of the patient. This review classifies and briefly compares commonly available electrochemical biosensors and the techniques of detection used. Following this, the authors focus on recent studies and applications of various types of sensors based on a variety of methods to detect common compounds and cancer biomarkers in humans. The primary gaps in research are discussed and strategies for improvement are proposed along the dimensions of hardware and software. The work here provides new guidelines for advanced research on and a wider scope of applications of electrochemical biosensors to in vitro diagnosis.
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.