Issue 16, 2025, Issue in Progress

Opto-sensing of sotalol using parafilm and poly(methyl methacrylate) micro-plates decorated by silver nanoparticles: state-of-the-art for one-drop pharmaceutical analysis

Abstract

Sotalol is an antiarrhythmic drug with a narrow therapeutic index and potential adverse effects, including hypotension and heart block, requiring continuous and precise blood-level monitoring. In this study, an innovative optical sensor was developed using silver nanoparticle (AgNP)-functionalized parafilm (PF)- and poly methyl methacrylate (PMMA) for the trace-level detection of sotalol in human blood plasma. The detection was performed using CMYK-based colorimetric digital image analysis via the Color Picker software app, achieving a low limit of quantification of 1 μM and a linear range of 0.001 to 20 mM. The selectivity of the sensor was also validated in the presence of potentially interfering cardiovascular drugs. Nanoparticle characterization revealed a shift in zeta potential (Zp) from −14.5 to −6.16 mV, confirming a strong interaction between sotalol and AgNPs, as the optical probe. The sensor offers an innovative, cost-effective, portable, and rapid (5-min analysis time) approach for detecting sotalol in blood plasma. This sensor holds significant potential for point-of-care diagnostics and on-site drug monitoring, providing a reliable alternative to conventional, lab-dependent analytical methods for therapeutic drug monitoring.

Graphical abstract: Opto-sensing of sotalol using parafilm and poly(methyl methacrylate) micro-plates decorated by silver nanoparticles: state-of-the-art for one-drop pharmaceutical analysis

Supplementary files

Article information

Article type
Paper
Submitted
10 Mar 2025
Accepted
13 Apr 2025
First published
17 Apr 2025
This article is Open Access
Creative Commons BY-NC license

RSC Adv., 2025,15, 12321-12330

Opto-sensing of sotalol using parafilm and poly(methyl methacrylate) micro-plates decorated by silver nanoparticles: state-of-the-art for one-drop pharmaceutical analysis

M. B. Behyar, F. Bahavarnia, A. Nilghaz, M. Hasanzadeh and N. Shadjou, RSC Adv., 2025, 15, 12321 DOI: 10.1039/D5RA01716E

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