Evidence map›Paper›PMID 38644805›Full record

ArticleLab on a chip2024

A paper-based dual functional biosensor for safe and user-friendly point-of-care urine analysis.

Yujia Li, Yingqi Kong, Yubing Hu, Yixuan Li, Rica Asrosa, Wenyu Zhang, Buddha Deka Boruah, Ali K Yetisen, Andrew Davenport, Tung-Chun Lee and 1 more

Abstract read
In one paragraph

Article in Lab on a chip, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. 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

11 authors.

Yujia LiInstitute for Materials Discovery, University College London, London, WC1E 7JE, UK. bing.li@ucl.ac.uk.ORCID 0009-0001-7506-0265
Yingqi KongInstitute for Materials Discovery, University College London, London, WC1E 7JE, UK. bing.li@ucl.ac.uk.
Yubing HuDepartment of Chemical Engineering, Imperial College London, London, SW7 2AZ, UK.ORCID 0000-0003-3083-0067
Yixuan LiInstitute for Materials Discovery, University College London, London, WC1E 7JE, UK. bing.li@ucl.ac.uk.
Rica AsrosaInstitute for Materials Discovery, University College London, London, WC1E 7JE, UK. bing.li@ucl.ac.uk.
Wenyu ZhangDepartment of Materials, University of Oxford, Parks Road, Oxford, OX1 3PH, UK.
Buddha Deka BoruahInstitute for Materials Discovery, University College London, London, WC1E 7JE, UK. bing.li@ucl.ac.uk.ORCID 0000-0003-0107-8339
Ali K YetisenDepartment of Chemical Engineering, Imperial College London, London, SW7 2AZ, UK.ORCID 0000-0003-0896-267X
Andrew DavenportUCL Department of Renal Medicine, Royal Free Hospital, University College London, Rowland Hill Street, London, NW3 2PF, UK.
Tung-Chun LeeInstitute for Materials Discovery, University College London, London, WC1E 7JE, UK. bing.li@ucl.ac.uk.ORCID 0000-0002-3163-0000
Bing LiInstitute for Materials Discovery, University College London, London, WC1E 7JE, UK. bing.li@ucl.ac.uk.

Funding

Medical Research Council
6 · The paper itself

Abstract

Safe, accurate, and reliable analysis of urinary biomarkers is clinically important for early detection and monitoring of the progression of chronic kidney disease (CKD), as it has become one of the world's most prevalent non-communicable diseases. However, current technologies for measuring urinary biomarkers are either time-consuming and limited to well-equipped hospitals or lack the necessary sensitivity for quantitative analysis and post a health risk to frontline practitioners. Here we report a robust paper-based dual functional biosensor, which is integrated with the clinical urine sampling vial, for the simultaneous and quantitative analysis of pH and glucose in urine. The pH sensor was fabricated by electrochemically depositing IrOx onto a paper substrate using optimised parameters, which enabled an ultrahigh sensitivity of 71.58 mV pH

Indexed as

Biosensing TechniquesPaperPoint-of-Care SystemsBiomarkersElectrochemical TechniquesGlucoseGlucose OxidaseGoldGraphiteHumansHydrogen-Ion ConcentrationMetal NanoparticlesUrinalysisBiomarkersGlucoseGlucose OxidaseGoldGraphite

Identifiers

PMID38644805
PMCPMC11060138

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.