Multiphysics insights into flow-assisted electrochemical sensing of niclosamide: effects of surface fouling and regeneration
Mohamed Abu Shuheil, Abdalkareem Jasim, Subbulakshmi Ganesan, Subhashree Ray, Noor Mazin Basheer, Karthikeyan Jayabalan, Atreyi Pramanik, Apurav Gautam, Amirali Nikpendar
TL;DR
This study uses a detailed model to understand how fluid flow and surface fouling affect the detection of niclosamide in microfluidic systems.
Contribution
A novel multiphysics model integrating fluid flow, mass transport, electrochemical kinetics, and surface fouling for niclosamide sensing.
Findings
Increasing flow rate reduces response time by 64% and increases electrochemical current.
Electrochemical voltage pulsing is more effective than other methods for restoring sensor performance.
The model shows strong agreement with experiments (RMS error of 0.069).
Abstract
A comprehensive multiphysics modeling framework is developed to elucidate flow-assisted electrochemical sensing of niclosamide in microfluidic systems employing palygorskite-carbon nanocomposite-modified electrodes. The model integrates laminar fluid flow, convection–diffusion mass transport, Butler–Volmer electrochemical kinetics, and Langmuir-type surface fouling within a finite-element platform. Simulations were performed over volumetric flow rates of 0.1–10 µL min−1 and niclosamide concentrations of 0.01–10 µM, revealing that increasing flow rate significantly enhances mass transfer and reduces the response time to reach 90% of the steady-state signal (t90%) from 60.0 ± 2.8 s to 21.4 ± 1.1 s, corresponding to a 64% decrease. Simultaneously, the steady-state electrochemical current increases from 15.95 ± 0.72 µA to 38.98 ± 1.56 µA (n = 5, RSD < 5%). Sensitivity improves from 15.19 ±…
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Taxonomy
TopicsAnalytical Chemistry and Sensors · Electrochemical Analysis and Applications · Electrochemical sensors and biosensors