ReviewFrontiers in chemistry2021
Recent Advances in Non-Enzymatic Glucose Sensors Based on Metal and Metal Oxide Nanostructures for Diabetes Management- A Review.
Review in Frontiers in chemistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
What it found
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Who cites it
36 citing papers in PubMed.
- A portable potentiostat integrated with a Pt/ZnO/LIG electrode for non-enzymatic glucose detection.RSC advances · 2026Article
- Integrated CoNiMicromachines · 2026Article
- pH-dependent rGO/Cu-CuRSC advances · 2026Article
- Evolution of Biosensors and Current State-of-the-Art Applications in Diabetes Control.Biosensors · 2026Review
- Electrochemical determination of glucose in beverages intended for athletes using a CuO-based nanocomposite sensor.Frontiers in chemistry · 2026Article
- Zinc-vacancy defects in ZnO nanorods induced visible-light activity of photoelectrochemical glucose sensing: experimental and DFT+U analysis.Frontiers in chemistry · 2026Article
- A highly accurate and selective non-enzymatic glucose sensor based on a FeRSC advances · 2025Article
- Systematic Nonenzymatic Glucose Detection Using Hydrogel-Protected Ag-Cu/MWCNTs Nanocomposites.ACS omega · 2025Article
- Rhodium-based metallodrugs for biological applications: current status and future perspectives.Materials today. Bio · 2025Review
- Comprehensive New Insights into Sweet Taste Transmission Mechanisms and Detection Methods.Foods (Basel, Switzerland) · 2025Review
- Biofouling-resistant nanomaterials for non-enzymatic glucose sensors: A critical review.Materials today. Bio · 2025Review
- New cobalt hydroxycarbonate-based material for highly sensitive enzyme-free glucose sensors.Scientific reports · 2025Article
- A Facile Method for Synthesizing Cobalt Oxide Nanoparticles to Create a Highly Sensitive Non-Enzyme Glucose Sensor.Biosensors · 2025Article
- Article
- Revolutionary self-powered transducing mechanism for long-lasting and stable glucose monitoring: achieving selective and sensitive bacterial endospore germination in microengineered paper-based platforms.Microsystems & nanoengineering · 2024Article
- Control of sensitivity in metal oxide electrolyte gated field-effect transistor-based glucose sensor by electronegativity modulation.Scientific reports · 2024Article
- Microfibrous Carbon Paper Decorated with High-Density Manganese Dioxide Nanorods: An Electrochemical Nonenzymatic Platform of Glucose Sensing.Sensors (Basel, Switzerland) · 2024Article
- Self-assembled monolayer of poly(RSC advances · 2024Article
- Smart Contact Lenses in Ophthalmology: Innovations, Applications, and Future Prospects.Micromachines · 2024Review
- Non-Enzymatic Glucose Sensors Composed of Polyaniline Nanofibers with High Electrochemical Performance.Molecules (Basel, Switzerland) · 2024Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
There is an undeniable growing number of diabetes cases worldwide that have received widespread global attention by many pharmaceutical and clinical industries to develop better functioning glucose sensing devices. This has called for an unprecedented demand to develop highly efficient, stable, selective, and sensitive non-enzymatic glucose sensors (NEGS). Interestingly, many novel materials have shown the promising potential of directly detecting glucose in the blood and fluids. This review exclusively encompasses the electrochemical detection of glucose and its mechanism based on various metal-based materials such as cobalt (Co), nickel (Ni), zinc (Zn), copper (Cu), iron (Fe), manganese (Mn), titanium (Ti), iridium (Ir), and rhodium (Rh). Multiple aspects of these metals and their oxides were explored vis-à-vis their performance in glucose detection. The direct glucose oxidation
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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.