Issue 17, 2018

Development of an electrochemical surface-enhanced Raman spectroscopy (EC-SERS) fabric-based plasmonic sensor for point-of-care diagnostics

Abstract

Early disease diagnosis is crucial for timely and effective healthcare monitoring and treatment. Demand for modern point-of-care (POC) technologies has increased during the past decade. Continuous monitoring of patient health status can be achieved through wearable sensors which can be incorporated into clothing and other wearables. While electronic textiles that monitor physical parameters (heart rate, blood pressure, etc.) are increasingly commonplace, smart textiles capable of monitoring chemical biomarkers are much less common. In this work, a conductive plasmonic electrochemical sensor was developed from a cotton blend fabric modified with silver nanoparticles and conductive inks. para-Aminothiophenol (pATP) was used as an initial probe molecule to evaluate the performance of the fabric-based electrode for electrochemical surface-enhanced Raman spectroscopic (EC-SERS) measurements. Further investigation was then carried out to detect levofloxacin, a commonly prescribed antibiotic, in both 0.1 M NaF and synthetic urine as supporting electrolyte. It was found that the fabric-based electrode provided excellent EC-SERS signals, comparable to commercial screen-printed electrodes, allowing for rapid detection of levofloxacin at clinically relevant concentrations. To the best of our knowledge, this is the first time a fabric-based electrode has been reported for EC-SERS investigations, highlighting a promising platform for wearable point-of-care sensors.

Graphical abstract: Development of an electrochemical surface-enhanced Raman spectroscopy (EC-SERS) fabric-based plasmonic sensor for point-of-care diagnostics

Supplementary files

Article information

Article type
Paper
Submitted
18 Jun 2018
Accepted
17 Jul 2018
First published
24 Jul 2018

Analyst, 2018,143, 4128-4135

Development of an electrochemical surface-enhanced Raman spectroscopy (EC-SERS) fabric-based plasmonic sensor for point-of-care diagnostics

S. D. Bindesri, D. S. Alhatab and C. L. Brosseau, Analyst, 2018, 143, 4128 DOI: 10.1039/C8AN01117F

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