Smart sensing of creatinine in urine samples: Leveraging Cu-nanowires/MoS2 quantum dots and machine learning

Smart sensing of creatinine in urine samples: Leveraging Cu-nanowires/MoS2 quantum dots and machine learning

Serum creatinine (CRT) levels are key biomarkers for diagnosing, staging, and monitoring renal disease in clinical practice. In this work, copper nanowires (CuNW), and Molybdenum disulfide quantum dots (MSQD) modified glassy carbon electrode (GCE) were chosen to demonstrate the electrochemical detec...

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Bibliographic Details
Main Authors: Geethukrishnan, Paresh Prakash Bagde, Sammishra KH, Chandranath Adak, Rajendra P. Shukla, Kiran Kumar Tadi
Format: Article
Language:English
Published: Elsevier 2025-02-01
Series:Sensing and Bio-Sensing Research
Subjects:
Electrochemical sensor
Copper nanowires
Artificial neural networks
Machine learning
Creatinine
Online Access:http://www.sciencedirect.com/science/article/pii/S2214180424001090
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