Extended Linear Response for Bioanalytical Applications Using Multiple Enzymes
arXiv:1305.5927 · doi:10.1021/ac302998y
Abstract
We develop a framework for optimizing a novel approach to extending the linear range of bioanalytical systems and biosensors by utilizing two enzymes with different kinetic responses to the input chemical as their substrate. Data for the flow-injection amperometric system devised for detection of lysine based on the function of L-Lysine-alpha-Oxidase and Lysine-2-monooxygenase are analyzed. Lysine is a homotropic substrate for the latter enzyme. We elucidate the mechanism for extending the linear response range and develop optimization techniques for future applications of such systems.
References in corpus (1)
Cited by in corpus (5)
- Networked Enzymatic Logic Gates with Filtering: New Theoretical Modeling Expressions and Their Experimental Application
- Kinetic Model for a Threshold Filter in an Enzymatic System for Bioanalytical and Biocomputing Applications
- Modeling and Modifying Response of Biochemical Processes for Biocomputing and Biosensing Signal Processing
- Theoretical Modeling Expressions for Networked Enzymatic Signal Processing Steps as Logic Gates Optimized by Filtering
- Rate-Equation Modelling and Ensemble Approach to Extraction of Parameters for Viral Infection-Induced Cell Apoptosis and Necrosis