Characterization of enzymatic glucose biosensor in buffer solution, in artificial saliva, and in potassium ferricyanide by linear sweep voltammetry

Existing practice of glucose-level monitoring for diabetic patients involves frequent finger pricking for blood samples. This is not only constantly painful, but could make patients susceptible to infections. A non-invasive, portable, graphene-based biosensor is being developed to measure glucose l...

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Main Authors: Ramli, Nurul Izzati, Abd-Wahab, Firdaus, Wan Salim, Wan Wardatul Amani
Format: Proceeding Paper
Language:English
English
Published: AIP 2018
Subjects:
Online Access:http://irep.iium.edu.my/68443/
http://irep.iium.edu.my/68443/1/ISTEC%202018%20AIP%20Conference%20Proceeding%20Nurul%20Izzati%20et%20al%202018.pdf
http://irep.iium.edu.my/68443/7/68443%20Characterization%20of%20Enzymatic%20Glucose%20Biosensor%20in%20Buffer.pdf
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author Ramli, Nurul Izzati
Abd-Wahab, Firdaus
Wan Salim, Wan Wardatul Amani
author_facet Ramli, Nurul Izzati
Abd-Wahab, Firdaus
Wan Salim, Wan Wardatul Amani
author_sort Ramli, Nurul Izzati
building IIUM Repository
collection Online Access
description Existing practice of glucose-level monitoring for diabetic patients involves frequent finger pricking for blood samples. This is not only constantly painful, but could make patients susceptible to infections. A non-invasive, portable, graphene-based biosensor is being developed to measure glucose levels in saliva instead of in blood, by incorporating rGO-PEDOT:PSS composites as the transducer layer on a working electrode – a screen-printed carbon electrode (SPCE) 2 mm in diameter. To evaluate the performance of the biosensor, the electrochemical technique of linear sweep voltammetry (LSV) was used. The results showed sensitivity of rGO-PEDOT:PSS-GOx/SPCE in artificial saliva: 105 μA/mM (σ = 12.52) at no glucose to 0.2 mM glucose concentrations and 35.33 μA/mM (σ = 5.79) at glucose concentrations of 0.2 mM to 0.6 mM, with correlation coefficient of 0.99. The sensitivity of the biosensor in 10 mM PBS (pH 6.8) is 9.88 μA/mM (σ = 2.74), while in 100 mM potassium ferricyanide it is 10.48 μA/mM (σ = 0.49). The high sensitivity obtained in artificial saliva suggests that the rGO-PEDOT:PSS composite is suitable for use as a transducer layer for non-invasive glucose monitoring.
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institution International Islamic University Malaysia
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language English
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publishDate 2018
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spelling iium-684432018-12-17T06:18:37Z http://irep.iium.edu.my/68443/ Characterization of enzymatic glucose biosensor in buffer solution, in artificial saliva, and in potassium ferricyanide by linear sweep voltammetry Ramli, Nurul Izzati Abd-Wahab, Firdaus Wan Salim, Wan Wardatul Amani TP155 Chemical engineering TP248.13 Biotechnology Existing practice of glucose-level monitoring for diabetic patients involves frequent finger pricking for blood samples. This is not only constantly painful, but could make patients susceptible to infections. A non-invasive, portable, graphene-based biosensor is being developed to measure glucose levels in saliva instead of in blood, by incorporating rGO-PEDOT:PSS composites as the transducer layer on a working electrode – a screen-printed carbon electrode (SPCE) 2 mm in diameter. To evaluate the performance of the biosensor, the electrochemical technique of linear sweep voltammetry (LSV) was used. The results showed sensitivity of rGO-PEDOT:PSS-GOx/SPCE in artificial saliva: 105 μA/mM (σ = 12.52) at no glucose to 0.2 mM glucose concentrations and 35.33 μA/mM (σ = 5.79) at glucose concentrations of 0.2 mM to 0.6 mM, with correlation coefficient of 0.99. The sensitivity of the biosensor in 10 mM PBS (pH 6.8) is 9.88 μA/mM (σ = 2.74), while in 100 mM potassium ferricyanide it is 10.48 μA/mM (σ = 0.49). The high sensitivity obtained in artificial saliva suggests that the rGO-PEDOT:PSS composite is suitable for use as a transducer layer for non-invasive glucose monitoring. AIP 2018-11-29 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/68443/1/ISTEC%202018%20AIP%20Conference%20Proceeding%20Nurul%20Izzati%20et%20al%202018.pdf application/pdf en http://irep.iium.edu.my/68443/7/68443%20Characterization%20of%20Enzymatic%20Glucose%20Biosensor%20in%20Buffer.pdf Ramli, Nurul Izzati and Abd-Wahab, Firdaus and Wan Salim, Wan Wardatul Amani (2018) Characterization of enzymatic glucose biosensor in buffer solution, in artificial saliva, and in potassium ferricyanide by linear sweep voltammetry. In: 3rd International Sciences, Technology & Engineering Conference (ISTEC) 2018 - Material Chemistry, 18th April 2018, Penang, Malaysia. https://aip.scitation.org/doi/10.1063/1.5066993 10.1063/1.5066993
spellingShingle TP155 Chemical engineering
TP248.13 Biotechnology
Ramli, Nurul Izzati
Abd-Wahab, Firdaus
Wan Salim, Wan Wardatul Amani
Characterization of enzymatic glucose biosensor in buffer solution, in artificial saliva, and in potassium ferricyanide by linear sweep voltammetry
title Characterization of enzymatic glucose biosensor in buffer solution, in artificial saliva, and in potassium ferricyanide by linear sweep voltammetry
title_full Characterization of enzymatic glucose biosensor in buffer solution, in artificial saliva, and in potassium ferricyanide by linear sweep voltammetry
title_fullStr Characterization of enzymatic glucose biosensor in buffer solution, in artificial saliva, and in potassium ferricyanide by linear sweep voltammetry
title_full_unstemmed Characterization of enzymatic glucose biosensor in buffer solution, in artificial saliva, and in potassium ferricyanide by linear sweep voltammetry
title_short Characterization of enzymatic glucose biosensor in buffer solution, in artificial saliva, and in potassium ferricyanide by linear sweep voltammetry
title_sort characterization of enzymatic glucose biosensor in buffer solution, in artificial saliva, and in potassium ferricyanide by linear sweep voltammetry
topic TP155 Chemical engineering
TP248.13 Biotechnology
url http://irep.iium.edu.my/68443/
http://irep.iium.edu.my/68443/
http://irep.iium.edu.my/68443/
http://irep.iium.edu.my/68443/1/ISTEC%202018%20AIP%20Conference%20Proceeding%20Nurul%20Izzati%20et%20al%202018.pdf
http://irep.iium.edu.my/68443/7/68443%20Characterization%20of%20Enzymatic%20Glucose%20Biosensor%20in%20Buffer.pdf