ReviewSensors (Basel, Switzerland)2025
Cellulose-Based Electrochemical Sensors.
Review in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- Polysaccharides and carbohydrate polymers: innovations from nature to industry.Journal of the science of food and agriculture · 2026Review
- Green Approaches Based on Biodegradable Polymers for Sustainable Electrochemical Sensors.Sensors (Basel, Switzerland) · 2026Review
- Hydrogel-Based Sensors: Compositions, Fabrication, Sensing Mechanism, and Applications.Polymers · 2026Review
- Cellulose-based sensors for decentralized monitoring in precision agriculture.Nature communications · 2026Review
- Commercial Translation of Electrochemical Biosensors: Supply Chain Strategy, Scale-Up Manufacturing, and Regulatory-Quality Considerations.Biosensors · 2026Review
- Transforming Cellulose for Sustainability: Comprehensive Insights into Modification Approaches and Their Applications.ACS omega · 2026Review
- Hydroxyethyl cellulose-based ZnCeRSC advances · 2026Article
- Agricultural and Agro-Industrial Residues as Sustainable Sources of Next-Generation Biomedical Materials: Advances, Challenges, and Perspectives.Life (Basel, Switzerland) · 2025Review
- Sustainable Cellulose-Bentonite Composites for Wastewater Treatment.Materials (Basel, Switzerland) · 2025Review
- Emerging perovskite-based electrochemical biosensors for different biomarkers detection: innovations, applications, and future prospects.Mikrochimica acta · 2025Review
- Review
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.
Funding
Abstract
Among the most promising areas of research, cellulose-based electrochemical sensors stand out for their intrinsic properties such as abundance, biocompatibility, and versatility. This review is concerned with the integration and application of cellulose-derived materials in electrochemical sensors, pointing out improvements in sensitivity, selectivity, stability, and functionality for a wide variety of applications. The most relevant developments on cellulose-based sensors have been concentrated on nanocellulose composite synthesis, advanced cellulose modification, and the successful embedding in wearable technologies, medical diagnostics, and environmental monitoring. Considering these, it is worth mentioning that significant challenges still need to be overcome regarding the scalability of production, selectivity improvement, and long-term stability under real operational conditions. Future research efforts will concern the union of cellulose-based sensors with the Internet of Things (IoT) and artificial intelligence (AI) toward wiser and more sustainable health and environmental solutions. Correspondingly, this work puts cellulose in the front line among the most perspective materials for enabling the development of eco-friendly and high-performance sensing technologies.
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.