STUDY OF MULTI-WALLED CARBON NANOTUBE/NICKEL/SILVER FOR THE DETECTION OF URIC ACID ASSOCIATED WITH CONTENT IN SWEAT ON SCREEN- PRINTED CARBON ELECTRODE (SPCE) AND FABRIC BASED SENSORS

In the development of biosensors, sensors are needed that are able to provide a fast response, have good sensitivity and selectivity, and are non-invasive. Among the various biosensor developments, electrochemical-based sensors receive special attention because they are non-invasive and easy to u...

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Bibliographic Details
Main Author: Uperianti
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/74684
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Institution: Institut Teknologi Bandung
Language: Indonesia
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Summary:In the development of biosensors, sensors are needed that are able to provide a fast response, have good sensitivity and selectivity, and are non-invasive. Among the various biosensor developments, electrochemical-based sensors receive special attention because they are non-invasive and easy to use. One type of sensor that has been widely developed is the screen-printed carbon electrode (SPCE). Recently, a wearable-based electrochemical biosensor with sweat as the detection sample has been developed. Sweat is rich in biomarkers such as electrolytes and metabolites that can be used to determine the condition of the body. To improve sensor performance, nanomaterials have been introduced to the biosensor field. Nanomaterial-based biosensors are one of the main topics in the diagnostic field because they can improve performance in terms of sensitivity In this study, SPCE sensors and fabric-based wearable sensors were developed to investigate uric acid levels associated with sweat content. Multi-walled carbon nanotube/Nickel/Silver nanomaterial (f-MWCNT/AgNi) is used as a recognition element in detecting uric acid. The characteristics of f-MWCNT/AgNi were analyzed using UV-Vis, Raman, SEM EDX, and XRD methods. Furthermore, f- MWCNT/AgNi was deposited on the surface of the working electrode using the drop casting method. Then, the electrochemical characteristics and the performance of detecting uric acid were tested using the cyclic voltammetry (CV) and differential pulse voltammetry (DPV) methods. The performance parameters of SPCE and cloth electrodes in detecting uric acid were obtained, namely limit of detection (LOD) 0.024 mM and 0.011 mM, limit of quantification (LOQ) 0.079 mM and 0.330 mM, linear range 0.05–1 mM and 1–5 mM, and linearity 0.999 and 0.998. From these parameter values, the use of SPCE and a fabric-based wearable electrode sensor modified with f-MWCNT/AgNi can be applied as biosensors in detecting UA.