Conductometric Biosensor for Quick Detection of Urinary Biomarkers in Chronic Kidney Disease Management
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Le résumé fourni par la source
Chronic kidney disease (CKD) is a noncommunicable disease that brings long-term morbidity among people and is identified as a hidden epidemic. As the disease-causing pathophysiology process is different and complex for various diseases of CKD, specific biomarkers in urine should be monitored in aiding therapy and management of CKD. β-2 Microglobulin (β2MG), epidermal growth factor (EGF), and CD163 are three of such common biomarkers used in CKD management. Though different detection methods such as electrochemical sensors, electrochemiluminescence, and sandwich ELISA have been reported for these three biomarkers, they are associated with shortcomings such as complex device fabrication, longer detection time, and poor sensitivity. To overcome these disadvantages, the current study introduces high-resistivity-silicon (HR-Si)-based conductometric biosensors for rapid and sensitive detection of these three biomarkers. These conductometric biosensors successfully detected β2MG, EGF, and CD163 in urine with detection limits of 100 fM, 5 pM, and 10 fM, respectively. Other advantages of conductometric biosensors include relatively simple sensor fabrication, which is also low-cost, short sample incubation time (<15 min), fast detection time (<2 min), high selectivity, and the capability of miniaturization and compatibility with common electronics circuitry (ability to use as a portable device). These key features of the conductometric biosensors hold as a futuristic point-of-need tool in aiding CKD management and therapy.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Conductometric Biosensor for Quick Detection of Urinary Biomarkers in Chronic Kidney Disease Management
- Date Crossref
- 22/10/2025
- Éditeur
- American Chemical Society (ACS)
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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RMIT University pays non établi dans la noticeUniversité ou école supérieure
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La Trobe University pays non établi dans la noticeUniversité ou école supérieure
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Department of Mathematical Sciences pays non établi dans la noticeOrganisme public
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Functional Materials and Microsystems Research Group and the Micro Nano Research Facility pays non établi dans la noticeInstitution
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School of Computing pays non établi dans la noticeUniversité ou école supérieure
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School of Science NanoBiotechnology Research Laboratory pays non établi dans la noticeUniversité ou école supérieure
RMIT University, La Trobe University et Department of Mathematical Sciences, avec 3 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.