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...

Full description

Bibliographic Details
Published in:INTERNATIONAL JOURNAL OF NANOELECTRONICS AND MATERIALS
Main Authors: Ilias, Muhammad Haziq; Khairuddin, Norhazlin; Zolkapli, Maizatul; Zain, Zainiharyati Mohd; Bakar, Noor Fitrah Abu; Rani, Rozina Abdul; Manut, Azrif; Zoolfakar, Ahmad Sabirin
Format: Article
Language:English
Published: UNIMAP PRESS 2023
Subjects:
Online Access:https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001141805800037
author Ilias
Muhammad Haziq; Khairuddin
Norhazlin; Zolkapli
Maizatul; Zain
Zainiharyati Mohd; Bakar
Noor Fitrah Abu; Rani
Rozina Abdul; Manut
Azrif; Zoolfakar
Ahmad Sabirin
spellingShingle Ilias
Muhammad Haziq; Khairuddin
Norhazlin; Zolkapli
Maizatul; Zain
Zainiharyati Mohd; Bakar
Noor Fitrah Abu; Rani
Rozina Abdul; Manut
Azrif; Zoolfakar
Ahmad Sabirin
Electrochemical Sensors for Detection of Glucose based on Electrochemically Reduced Graphene Oxide: Optimization of pH and Number of Cycles
Materials Science
author_facet Ilias
Muhammad Haziq; Khairuddin
Norhazlin; Zolkapli
Maizatul; Zain
Zainiharyati Mohd; Bakar
Noor Fitrah Abu; Rani
Rozina Abdul; Manut
Azrif; Zoolfakar
Ahmad Sabirin
author_sort Ilias
spelling Ilias, Muhammad Haziq; Khairuddin, Norhazlin; Zolkapli, Maizatul; Zain, Zainiharyati Mohd; Bakar, Noor Fitrah Abu; Rani, Rozina Abdul; Manut, Azrif; Zoolfakar, Ahmad Sabirin
Electrochemical Sensors for Detection of Glucose based on Electrochemically Reduced Graphene Oxide: Optimization of pH and Number of Cycles
INTERNATIONAL JOURNAL OF NANOELECTRONICS AND MATERIALS
English
Article
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 mu A center dot mM-1 center dot 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.
UNIMAP PRESS
1985-5761
2232-1535
2023
16


Materials Science

WOS:001141805800037
https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001141805800037
title Electrochemical Sensors for Detection of Glucose based on Electrochemically Reduced Graphene Oxide: Optimization of pH and Number of Cycles
title_short Electrochemical Sensors for Detection of Glucose based on Electrochemically Reduced Graphene Oxide: Optimization of pH and Number of Cycles
title_full Electrochemical Sensors for Detection of Glucose based on Electrochemically Reduced Graphene Oxide: Optimization of pH and Number of Cycles
title_fullStr Electrochemical Sensors for Detection of Glucose based on Electrochemically Reduced Graphene Oxide: Optimization of pH and Number of Cycles
title_full_unstemmed Electrochemical Sensors for Detection of Glucose based on Electrochemically Reduced Graphene Oxide: Optimization of pH and Number of Cycles
title_sort Electrochemical Sensors for Detection of Glucose based on Electrochemically Reduced Graphene Oxide: Optimization of pH and Number of Cycles
container_title INTERNATIONAL JOURNAL OF NANOELECTRONICS AND MATERIALS
language English
format Article
description 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 mu A center dot mM-1 center dot 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.
publisher UNIMAP PRESS
issn 1985-5761
2232-1535
publishDate 2023
container_volume 16
container_issue
doi_str_mv
topic Materials Science
topic_facet Materials Science
accesstype
id WOS:001141805800037
url https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001141805800037
record_format wos
collection Web of Science (WoS)
_version_ 1809678631665926144