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Rapid Conductometric Sensing of Chronic Kidney Disease Biomarkers: Specific and Precise Detection of Creatinine and Cystatin C in Artificial Saliva

journal contribution
posted on 2025-06-12, 08:14 authored by Mingjie Yang, Ganganath Perera, Shanmuga Sundar DhanabalanShanmuga Sundar Dhanabalan, Sanje Mahasivam, Dashen Dong, Ying Zhi Cheong, Chenglong Xu, Peter Francis Mathew Elango, Sagar Borkhatariya, Sharath Sriram, Madhu Bhaskaran

Abstract: Chronic kidney disease (CKD) has asymptomatic early stages, whereby early detection is crucial to prevent its complications and progression. Creatinine and cystatin C (cysC) assays are known for assessing kidney function but there are limited point‐of‐care diagnostics which are rapid, precise, and easy to use. Here, high resistivity silicon conductometric sensors for detection of creatinine and cysC with a 10 min sample incubation is introduced. The sensors provide resistance‐based signals that can be quantified and measured wirelessly. The sensors successfully detect creatinine and cysC in both phosphate buffer saline (PBS) and artificial saliva in the nanomolar range, being able to distinguish their critical concentrations at 8.8 and 20 nm, respectively, for diagnosis of early stage of CKD. The detection limit for both creatinine and cysC is determined as 0.01 nm which is more than 500× and 1000× times lower than critical concentrations for the two biomarkers, respectively. Finally, these sensors are incorporated into a battery‐free, miniaturized electronic device for wireless biomarker detection as a proof‐of‐concept demonstration of a point‐of‐care tool for assessing kidney functionality.

Funding

The authors gratefully acknowledge scholarship support from the Research Training Program (RTP) scheme of the Australian government. The authors gratefully acknowledge generous philanthropic support from Costin Sister's Endowment which enabled this work.

History

Publication Date

2024-11-01

Journal

Advanced Sensor Research

Volume

3

Issue

11

Article Number

2400042

Pagination

12p.

Publisher

Wiley-VCH GmbH

ISSN

2751-1219

Rights Statement

© 2024 The Authors. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.