Design of Digital Response in Enzyme-Based Bioanalytical Systems for Information Processing Applications

TL;DR

This paper explores the design and optimization of digital-like responses in enzyme-based bioanalytical systems, focusing on a partial input conversion mechanism to achieve binary sigmoid outputs for biosensing and information processing.

Contribution

It introduces a kinetic modeling approach for optimizing enzyme reactions to produce digital responses, demonstrated through glucose detection data.

Findings

Optimized enzyme response for digital biosensing.

Validated approach with glucose detection data.

Provided measures for response optimization.

Abstract

We investigate performance and optimization of the "digital" bioanalytical response. Specifically, we consider the recently introduced approach of a partial input conversion into inactive compounds, resulting in the "branch point effect" similar to that encountered in biological systems. This corresponds to an "intensity filter," which can yield a binary-type sigmoid-response output signal of interest in information and signal processing and in biosensing applications. We define measures for optimizing the response for information processing applications based on the kinetic modeling of the enzymatic reactions involved, and apply the developed approach to the recently published data for glucose detection.