Evidence map›Paper›PMID 38500617›Full record

ArticleRSC advances2024

Ultrasensitive colorimetric detection of creatinine

Jingle Huang, Maria Sokolikova, Antonio Ruiz-Gonzalez, Yingqi Kong, Yuxuan Wang, Yingjia Liu, Lizhou Xu, Mingqing Wang, Cecilia Mattevi, Andrew Davenport and 2 more

Open access · goldAbstract read
In one paragraph

Article in RSC advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.9field-weighted citation impact, top 15% of its field
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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
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

12 authors at 4 institutions in 2 countries.

Jingle HuangInstitute for Materials Discovery, University College London London WC1H 0AJ UK bing.li@ucl.ac.uk tungchun.lee@ucl.ac.uk.
Maria SokolikovaDepartment of Materials, Imperial College London London SW7 2AZ UK.ORCID https://orcid.org/0000-0001-7717-3768
Antonio Ruiz-GonzalezInstitute for Materials Discovery, University College London London WC1H 0AJ UK bing.li@ucl.ac.uk tungchun.lee@ucl.ac.uk.
Yingqi KongInstitute for Materials Discovery, University College London London WC1H 0AJ UK bing.li@ucl.ac.uk tungchun.lee@ucl.ac.uk.
Yuxuan WangDepartment of Materials, Imperial College London London SW7 2AZ UK.
Yingjia LiuZhejiang University-Hangzhou Global Scientific and Technological Innovation Centre Hangzhou 311200 China.
Lizhou XuZhejiang University-Hangzhou Global Scientific and Technological Innovation Centre Hangzhou 311200 China.
Mingqing WangInstitute for Materials Discovery, University College London London WC1H 0AJ UK bing.li@ucl.ac.uk tungchun.lee@ucl.ac.uk.ORCID https://orcid.org/0000-0003-1933-1566
Cecilia MatteviDepartment of Materials, Imperial College London London SW7 2AZ UK.ORCID https://orcid.org/0000-0003-0005-0633
Andrew DavenportZhejiang University-Hangzhou Global Scientific and Technological Innovation Centre Hangzhou 311200 China.
Tung-Chun LeeInstitute for Materials Discovery, University College London London WC1H 0AJ UK bing.li@ucl.ac.uk tungchun.lee@ucl.ac.uk.ORCID https://orcid.org/0000-0002-3163-0000
Bing LiInstitute for Materials Discovery, University College London London WC1H 0AJ UK bing.li@ucl.ac.uk tungchun.lee@ucl.ac.uk.ORCID https://orcid.org/0000-0002-1737-3423
University College London · GBImperial College London · GBZhejiang University · CNThe Royal Free Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Creatinine is an important biomarker for the diagnosis of chronic kidney disease (CKD). Recently, it has been reported that the concentration of salivary creatinine correlates well with the concentration of serum creatinine, which makes the former useful for the development of non-invasive and point-of-care (POC) detection for CKD diagnosis. However, there exists a technical challenge in the rapid detection of salivary creatinine at low concentrations of 3-18 μM when using the current kidney function test strips as well as the traditional methods employed in hospitals. Herein, we demonstrate a simple, sensitive colorimetric assay for the detection of creatinine with a limit-of-detection (LOD) down to the nanomolar level. Our approach utilises the dual binding affinity of creatinine for citrate-capped silver nanoparticles (Ag NPs) and Ag(i) ions, which can trigger the aggregation of Ag NPs and thus lead to the colour change of a sample. The quantitative detection of creatinine was achieved using UV-Vis spectroscopy with a LOD of 6.9 nM in artificial saliva and a linear dynamic range of 0.01-0.06 μM. This method holds promise to be further developed into a POC platform for the CKD diagnosis.

Identifiers

PMID38500617
PMCPMC10946247
OpenAlexW4392932495

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.