Evidence map›Paper›PMID 42783192›Full record

ReviewBiosensors2026

The Evolution of Next-Generation Glucose Monitoring Systems: Developments from Conventional Diagnostics to Wearable and Continuous Sensing Platforms-A Narrative Review.

Sumedha Nitin Prabhu

Abstract readReview
In one paragraph

Review in Biosensors, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Sumedha Nitin PrabhuBiomedical Science & Engineering Programme, School of Medicine, The Chinese University of Hong Kong, Shenzhen 518172, China.ORCID 0000-0001-7782-7514

Funding

Chinese University of Hong Kong, Shenzhen
6 · The paper itself

Abstract

For the diagnosis of diabetes, glycemic control, treatment modification, and the avoidance of both acute and long-term consequences, accurate glucose monitoring is crucial. This study examines the development of glucose-monitoring systems, from traditional diagnostic tests and finger-prick electrochemical glucometers to wearable, continuous, minimally invasive, and non-invasive sensing platforms. Major invasive technologies, including enzymatic and non-enzymatic electrochemical sensors, microdialysis systems, hexokinase-based photometric assays, and field-effect transistor biosensors, are critically evaluated. The ability of minimally invasive methods to access interstitial fluid with less pain is discussed, including fluorescence probes, surface-enhanced Raman spectroscopy, and microneedle arrays. Emerging non-invasive approaches are also evaluated. These include reverse iontophoresis, optical coherence tomography, infrared and photoacoustic spectroscopy, microwave resonators, smart contact lenses, and AI-assisted wearable systems. Finally, the review identifies major barriers related to sensitivity, selectivity, calibration, biofouling, biocompatibility, physiological variability, and clinical translation. It also outlines opportunities for intelligent, painless, and patient-centered glucose monitoring.

Indexed as

Biosensing TechniquesBlood Glucose Self-MonitoringWearable Electronic DevicesBlood GlucoseContinuous Glucose MonitoringGlucoseHumansBlood GlucoseGlucoseartificial intelligence-assisted wearable technologycontinuous glucose monitoringdiabetes diagnosiselectrochemical sensorsfinger-prick electrochemical glucometersglucose monitoringglycemic controlminimally invasive sensingnon-invasive sensingwearable sensors

Identifiers

PMID42783192
PMCPMC13604579

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.