Non-Linearization of Modified Michaelis-Menten Kinetics
In view of the difficulties in finding the precise value of Michaelis-Menten constant (K
M) and maximum net current (I
max) of a biosensor from linear plots, we framed two modified non-linear equations employing Michaelis-Menten equation. In this work,
data of lactate detecting sensor were used to exemplify practicability and accuracy of the modified Michaelis-Menten equation. Standard and modified Michaelis-Menten model was normalized using Levenberg-Marquardt algorithm. The validity of the two modified Michaelis-Menten models was statistically
analyzed using numerical error analysis, unpaired student t-Test and Akaike's Information Criterion (AIC) method, and the results were satisfactory. This method is quite easy and has assured convergence with no initial guess for K
M
and I
max
.
Keywords: ACCURACY; COMPUTATION; ENZYME KINETICS; LEVENBERG-MARQUARDT; MICHAELIS-MENTEN; ZERO INITIAL GUESS
Document Type: Research Article
Publication date: 01 December 2014
- Journal of Computational and Theoretical Nanoscience is an international peer-reviewed journal with a wide-ranging coverage, consolidates research activities in all aspects of computational and theoretical nanoscience into a single reference source. This journal offers scientists and engineers peer-reviewed research papers in all aspects of computational and theoretical nanoscience and nanotechnology in chemistry, physics, materials science, engineering and biology to publish original full papers and timely state-of-the-art reviews and short communications encompassing the fundamental and applied research.
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