Theoretical Analysis of Amperometric Biosensor with Substrate and Product Inhibition Involving non - Michaelis - Menten Kinetics

被引:0
作者
Mohanasundaraganesan, Mallikarjuna [1 ]
Guirao, Juan Luis Garcia [2 ]
Rathinam, Senthamarai [1 ]
机构
[1] SRM Inst Sci & Technol, Coll Engn & Technol, Dept Math, Kattankulathur 603203, Tamilnadu, India
[2] Tech Univ Cartagena, Hosp Marina, Dept Appl Math & Stat, Cartagena 30203, Spain
关键词
DIFFUSION;
D O I
10.46793/match.93-2.319M
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
In this paper, a non-steady-state amperometric biosensor with the mixed enzyme kinetics and diffusion limitations under the inhibitions of substrate and product is modeled mathematically. The non-steady-state reaction-diffusion equations of the system consist non-linear terms related to an enzymatic reaction of non-MichaelisMenten kinetics. We have presented the approximate analytical solutions for the concentrations of substrate and product in non-steady and steady-state models using the new approach of Homotopy perturbation method (HPM). The provided expression is presented for all potential diffusion and kinetic parameter values. Analytical expressions of the biosensor current and sensitivity are also presented and discussed. In addition, we also provided numerical solutions for the proposed model by utilizing the pdepe tool in MATLAB software. When comparing the analytical solution with the numerical solution, a satisfactory result is noted for all the possible values of the parameters. Furthermore, the influence of diffusion and kinetic parameters on both the current and the sensitivity are discussed. Analytical expressions for the limiting cases of biosensor enzyme kinetics are presented in this research article. Additionally, an analytical expression for determining the effective thickness of the membrane is derived and presented.
引用
收藏
页码:319 / 347
页数:310
相关论文
共 35 条
[1]  
Duan J. S., Oxygen and carbon substrate concentrations in microbial floc particles by the Adomian decompo- 785-796
[2]   Approximate Analytical Expression of Diffusive Lotka-Volterra Prey-Predator Equations via Variational Iteration Method [J].
Govindaraj, Suganya ;
Rathinam, Senthamarai .
JOURNAL OF APPLIED NONLINEAR DYNAMICS, 2022, 11 (03) :741-753
[3]  
Gutfreund H., 1995, Kinetics for the Life Sciences: Receptors, Transmitters and Catalysts
[4]  
Habermüller L, 2000, FRESEN J ANAL CHEM, V366, P560
[5]   TAYLOR SERIES SOLUTION FOR FRACTAL BRATU-TYPE EQUATION ARISING IN ELECTROSPINNING PROCESS [J].
He, Chun-Hui ;
Shen, Yue ;
Ji, Fei-Yu ;
He, Ji-Huan .
FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY, 2020, 28 (01)
[6]   Homotopy perturbation method: a new nonlinear analytical technique [J].
He, JH .
APPLIED MATHEMATICS AND COMPUTATION, 2003, 135 (01) :73-79
[7]   Homotopy perturbation method for strongly nonlinear oscillators [J].
He, Ji-Huan ;
Jiao, Man-Li ;
Gepreel, Khaled A. ;
Khan, Yasir .
MATHEMATICS AND COMPUTERS IN SIMULATION, 2023, 204 :243-258
[8]   Homotopy perturbation transform method for nonlinear equations using He's polynomials [J].
Khan, Yasir ;
Wu, Qingbiao .
COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2011, 61 (08) :1963-1967
[9]   Approximate analytical solution for non-linear reaction diffusion equations in a mono-enzymatic biosensor involving Michaelis-Menten kinetics [J].
Kirthiga, O. M. ;
Rajendran, L. .
JOURNAL OF ELECTROANALYTICAL CHEMISTRY, 2015, 751 :119-127
[10]   Modelling of amperometric biosensors in the case of substrate inhibition [J].
Kulys, Juozas ;
Baronas, Romas .
SENSORS, 2006, 6 (11) :1513-1522