Abstract
In this study, construction of amperometric glucose biosensor was carried out by immobilizing of
 glucose oxidase (GOD) on platinum electrode with 0.09 cm2 surface area which coated with
 polypyrrole (PPy) by cyclic voltammetry technique. Because measured current values in the
 presence of glucose would be affected from the electrode preparing and working conditions,
 experimental parameters should be optimized by response surface methodology (RSM). To this,
 State Ease Design Expert 8.0.7.1. (Serial Number:0021-6578) programe was used. PPy synthesis
 conditions of pyrrole (Py) monomer concentration and scan rate were optimized according to
 current response in presence of glucose. Optimal Py monomer concentration and scan rate for PPy
 synthesis were determined as 10 mM and 50 mV/s, respectively. Immobilization parameters such
 as concentrations of chitosan, GOD and glutaraldehyde (GAL) also were optimized by RSM as 1.0
 %, 4 mg/ml and 0.0625 %, respectively. The digital photos of electrodes at each stage were
 obtained. All electrodes well characterized in absence and in the presence of glucose by cyclic
 voltammetry and impedance techniques and it was observed that electrodes were sensitive to
 glucose molecule. Finally the effect of working pH and applied potential on the current response
 was investigated by RSM. The highest current response was obsreved when pH of glucose solution
 and applied potential were 6.0 and 0.8, respectively.
Highlights
The determination of glucose concentration is very important in food, fermentation products as well as biological fluids and diagnosis of diabetics (Dong et al 2013)
glucose oxidase (GOD) was immobilized onto PPy films and 16 enzyme electrodes were constructed
A glucose sensitive biosensor was constructed by GOD immobilizing onto PPy coated Pt electrode
Summary
The determination of glucose concentration is very important in food, fermentation products as well as biological fluids and diagnosis of diabetics (Dong et al 2013). Current response will be proportional to glucose concentration, its magnitude will change depending on biosensor construction and working conditions. Optimization of these parameters is needed to enhance biosensor quality. While only one parameter is changed, others are kept at a constant level There are few study related with RSM application for optimization of biosensor construction parameter in the literature (Gouda et al 2001, Urkut et al 2011, Zhang et al 2011, Ebrahimi et al 2011, Kergavarat et al 2012, Haghighi et al 2012, Mirmoghtadaie et al 2013, Chaichi & Ehsani, 2016)
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