An AgNP-deposited commercial electrochemistry test strip as a platform for urea detection.

Autor: Liu J; Department of Bioengineering, McGill University, Montreal, Quebec, H3A 0C3, Canada., Siavash Moakhar R; Department of Bioengineering, McGill University, Montreal, Quebec, H3A 0C3, Canada., Sudalaiyadum Perumal A; Department of Bioengineering, McGill University, Montreal, Quebec, H3A 0C3, Canada., Roman HN; Department of Bioengineering, McGill University, Montreal, Quebec, H3A 0C3, Canada., Mahshid S; Department of Bioengineering, McGill University, Montreal, Quebec, H3A 0C3, Canada., Wachsmann-Hogiu S; Department of Bioengineering, McGill University, Montreal, Quebec, H3A 0C3, Canada. Sebastian.wachsmannhogiu@mcgill.ca.
Jazyk: angličtina
Zdroj: Scientific reports [Sci Rep] 2020 Jun 12; Vol. 10 (1), pp. 9527. Date of Electronic Publication: 2020 Jun 12.
DOI: 10.1038/s41598-020-66422-x
Abstrakt: We developed an inexpensive, portable platform for urea detection via electrochemistry by depositing silver nanoparticles (AgNPs) on a commercial glucose test strip. We modified this strip by first removing the enzymes from the surface, followed by electrodeposition of AgNPs on one channel (working electrode). The morphology of the modified test strip was characterized by Scanning Electron Microscopy (SEM), and its electrochemical performance was evaluated via Cyclic Voltammetry (CV) and Electrochemical Impedance Spectroscopy (EIS). We evaluated the performance of the device for urea detection via measurements of the dependency of peak currents vs the analyte concentration and from the relationship between the peak current and the square root of the scan rates. The observed linear range is 1-8 mM (corresponding to the physiological range of urea concentration in human blood), and the limit of detection (LOD) is 0.14 mM. The selectivity, reproducibility, reusability, and storage stability of the modified test strips are also reported. Additional tests were performed to validate the ability to measure urea in the presence of confounding factors such as spiked plasma and milk. The results demonstrate the potential of this simple and portable EC platform to be used in applications such as medical diagnosis and food safety.
Databáze: MEDLINE
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