Evidence map›Paper›PMID 40830388›Full record

ArticleScientific reports2025

Non-contact measurement of glucose in urine by smartphone-based laser refractometry for diabetes monitoring.

Amirul Badiuzzaman Sinin, Khairul Fikri Tamrin, Muhammad Hamdi Mahmood

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

3 authors.

Amirul Badiuzzaman SininFaculty of Engineering, Universiti Malaysia Sarawak (UNIMAS), Kota Samarahan, Sarawak, 94300, Malaysia.
Khairul Fikri TamrinFaculty of Engineering, Universiti Malaysia Sarawak (UNIMAS), Kota Samarahan, Sarawak, 94300, Malaysia. tkfikri@unimas.my.
Muhammad Hamdi MahmoodFaculty of Medicine and Health Sciences, Universiti Malaysia Sarawak (UNIMAS), Kota Samarahan, Sarawak, 94300, Malaysia.

Funding

Sarawak Digital Economy Corporation Berhad (SDEC) SDEC Translational Research Grant
6 · The paper itself

Abstract

Diabetes mellitus is a global health issue affecting millions of people and requires regular glucose level monitoring. Current non-invasive methods, such as urinalysis (including colorimetry and biosensors), are primarily laboratory-based and lack user-friendliness, limiting their practicality for continuous glucose monitoring. Although promising, research on smartphone-integrated laser refractometry for glucose detection remains limited. To address this gap, a non-contact, smartphone-based laser refractometer for glucose monitoring was developed. This prototype measures the refractive index of urine by analyzing the refracted length of a laser line, which correlates with fasting blood glucose concentrations. The system uses a smartphone to capture high-resolution images of the laser line generated by total internal reflection through a rod and refraction through the urine sample. Assessments were conducted using controlled glucose concentrations, varying turbidity levels, different samples volume, and shelf-life conditions. Volumetric and shelf-life variations showed no significant impact on results, whereas turbidity assessments revealed a limitation of up to 57 nephelometric turbidity units (NTU). Fasting glucose levels measured from using the developed system were compared with laboratory fasting blood glucose results, yielding a correlation coefficients of 0.89 and a sensitivity of 4.8 mg/dL. The system is low-cost, making it accessible and suitable for telemedicine applications, offering remote glucose monitoring for patients. This approach paves the way for clinically relevant glucose detection in diabetic patients without the need for invasive finger-prick blood sampling.

Indexed as

Diabetes MellitusGlucoseGlycosuriaRefractometrySmartphoneBlood GlucoseBlood Glucose Self-MonitoringHumansLasersUrinalysisBlood GlucoseGlucoseGlucose monitoringLaser optical measurementNon-invasiveRefractometerSmartphone

Identifiers

PMID40830388
PMCPMC12365092

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.