Huang, Jingle;
Sokolikova, Maria;
Ruiz-Gonzalez, Antonio;
Kong, Yingqi;
Wang, Yuxuan;
Liu, Yingjia;
Xu, Lizhou;
... Li, Bing; + view all
(2024)
Ultrasensitive colorimetric detection of creatinine via its dual binding affinity for silver nanoparticles and silver ions.
RSC Advances
, 14
(13)
pp. 9114-9121.
10.1039/d3ra08736k.
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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.
Type: | Article |
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Title: | Ultrasensitive colorimetric detection of creatinine via its dual binding affinity for silver nanoparticles and silver ions |
Location: | England |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1039/d3ra08736k |
Publisher version: | https://doi.org/10.1039/D3RA08736K |
Language: | English |
Additional information: | © 2024 The Author(s). Published by the Royal Society of Chemistry. This article is licensed under a Creative Commons Attribution 3.0 Unported Licence (http://creativecommons.org/licenses/by/3.0/). |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > MAPS Faculty Office UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > MAPS Faculty Office > Institute for Materials Discovery |
URI: | https://discovery.ucl.ac.uk/id/eprint/10189513 |
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