Electrochemical Sensors for Detection of Glucose based on Electrochemically Reduced Graphene Oxide: Optimization of pH and Number of Cycles

Glucose determination method had gain significant interest from the industry for a fast and efficient response especially in the medical area for diabetes patient. Reduced graphene oxide (RGO) had been reported to help and improve the sensitivity of a sensor. The investigation for the optimum pH con...

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Bibliographic Details
Published in:International Journal of Nanoelectronics and Materials
Main Author: Ilias M.H.; Khairuddin N.; Zolkapli M.; Zain Z.M.; Bakar N.F.A.; Rani R.A.; Manut A.; Zoolfakar A.S.
Format: Article
Language:English
Published: Universiti Malaysia Perlis 2023
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185242011&doi=10.58915%2fijneam.v16iDECEMBER.407&partnerID=40&md5=db1529d23fc8fe67542cd3c332df24e4
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Summary:Glucose determination method had gain significant interest from the industry for a fast and efficient response especially in the medical area for diabetes patient. Reduced graphene oxide (RGO) had been reported to help and improve the sensitivity of a sensor. The investigation for the optimum pH concentrations using FESEM, EDX, XRD analysis and Raman spectroscopy indicate that the pH 9 was suited to be deposited on the SPGE. In addition to that, different number of cycles during electrodeposition process was employed. Electrochemical impedance spectroscopy (EIS) was used to investigate the charge transfer resistance for each cycle. All the deposited RGO on screen-printed gold electrode (SPGE) was being compared to the bare SPGE to confirmed that the electrodeposition of RGO could decrease the charge transfer resistance. For the detection of glucose, cyclic voltammetry (CV) and differential pulse voltammetry (DPV) was used. 10 cycles deposition of RGO shows the highest sensitivity of 1.0525 μA·mM−1·cm−2 in the detection of glucose compared to the other cycles. The ease of use and scalability of the electrodeposition technique may make it easier to build upon the results of this work and produce glucose sensors that are more widely available and less expensive. © 2023, Universiti Malaysia Perlis. All rights reserved.
ISSN:19855761
DOI:10.58915/ijneam.v16iDECEMBER.407