Evidence map›Paper›PMID 40216880›Full record

ArticleScientific reports2025

Instant and low-cost detection of urinary microalbumin using smartphone technology and a paper-based platform with a colorimetric ratio analysis.

Nutcha Larpant, Chanatnan Tetsiri, Theerasak Rojanarata, Wanida Laiwattanapaisal

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. Not yet cited in PubMed.

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

4 authors.

Nutcha LarpantCenter of Excellence for Biosensors and Bioengineering (CEBB), Chulalongkorn University, Bangkok, 10330, Thailand.
Chanatnan TetsiriCenter of Excellence for Biosensors and Bioengineering (CEBB), Chulalongkorn University, Bangkok, 10330, Thailand.
Theerasak RojanarataDepartment of Industrial Pharmacy, Faculty of Pharmacy, Silpakorn University, Nakhon Pathom, 73000, Thailand.
Wanida LaiwattanapaisalCenter of Excellence for Biosensors and Bioengineering (CEBB), Chulalongkorn University, Bangkok, 10330, Thailand. Wanida.L@chula.ac.th.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early detection of microalbuminuria is essential for preventing the progression of nephropathy and improving patient management. The present research proposes a simple, low-cost dye-binding method based on a standard addition principle for determining urinary albumin at clinically significant levels. The assay principle of the proposed paper-based analytical device is based on utilizing a specific and sensitive dye, bis(3',3″-diiodo-4',4″-dihydroxy-5',5″-dinitrophenyl) -3,4,5,6-tetrabromosulfonphthalein (DIDNTB), which binds to urinary albumin under extreme low pH conditions. The strategy was based on testing with three different albumin concentrations in the urine samples to obtain different color intensity ratios denoted as R1, R2, and R3, and further used to calculate a semi-quantitative amount of albumin. Under the optimized conditions, the linear range from 10 to 200 mg/L albumin and the detection limit 8.2 mg/L (R

Indexed as

AlbuminuriaColorimetrySmartphoneHumansLimit of DetectionPaperReproducibility of ResultsColorimetryMicroalbuminuriaPaper-based analytical deviceRGB detectorSmartphone

Identifiers

PMID40216880
PMCPMC11992030

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LicenceCC BY-NC-ND
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Registered trials

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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.