ReviewBiosensors2025
Colorimetric Biosensors: Advancements in Nanomaterials and Cutting-Edge Detection Strategies.
Review in Biosensors, 2025. 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.
- Color-Changing Hydrogels for Visual pH Monitoring of Confined Living Systems.ACS measurement science au · 2026Article
- Leakage-Free Benchmarking of Electronic Noses for Beef Freshness: A Signal-Richness Criterion for Model Selection.Foods (Basel, Switzerland) · 2026Article
- Article
- Sustainable Nanotechnology Approaches for Rapid Food Contaminant Detection and Future Food Safety Systems.Nanomaterials (Basel, Switzerland) · 2026Review
- Co-g-CJournal of fluorescence · 2026Article
- Detection Strategies for Begomoviruses: A Focus Review of Methods.Molecular biotechnology · 2026Review
- DUNI: A Portable Smartphone-Coupled Integrating Sphere for Controlled Illumination and Reliable Colorimetric Sensing: Analytical Applications.Sensors (Basel, Switzerland) · 2026Article
- Optical Biosensors-Principles of Operation and Applications.Micromachines · 2026Review
- Sustainable nanomaterials for precision dental medicine: green synthesis, therapeutic applications, and future directions.Journal of nanobiotechnology · 2026Review
- Recent Advances in Electrochemical Biosensors for the Detection of Milk Adulterants.Biosensors · 2026Review
- Effect of Microresistor Topology on the Sensing Characteristics of MoSSensors (Basel, Switzerland) · 2026Article
- Review
- Advanced biosensor technology for mycotoxin detection.Frontiers in nutrition · 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
4 authors.
Funding
Abstract
Colorimetric-based biosensors are practical detection devices that can detect the presence and concentration of biomarkers through simple color changes. Conventional laboratory-based tests are highly sensitive but require long processing times and expensive equipment, which makes them difficult to apply for on-site diagnostics. In contrast, the colorimetric method offers advantages for point-of-care testing and real-time monitoring due to its flexibility, simple operation, rapid results, and versatility across many applications. In order to enhance the color change reactions in colorimetric techniques, functional nanomaterials are often integrated due to their desirable intrinsic properties. In this review, the working principles of nanomaterial-based detection strategies in colorimetric systems are introduced. In addition, current signal amplification methods for colorimetric biosensors are comprehensively outlined and evaluated. Finally, the latest trends in artificial intelligence (AI) and machine learning integration into colorimetric-based biosensors, including their potential for technological advancements in the near future, are discussed. Future research is expected to develop highly sensitive and multifunctional colorimetric methods, which will serve as powerful alternatives for point-of-care testing and self-testing.
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.