Published in

ChemSystemsChem, 1(6), 2023

DOI: 10.1002/syst.202300030

ChemSystemsChem, 1(6), 2023

DOI: 10.1002/syst.202300052

Links

Tools

Export citation

Search in Google Scholar

Polylysine‐Coated Surfaces Drive Competition in Chemical Reaction Networks to Enable Molecular Information Processing

This paper was not found in any repository; the policy of its publisher is unknown or unclear.
This paper was not found in any repository; the policy of its publisher is unknown or unclear.

Full text: Unavailable

Question mark in circle
Preprint: policy unknown
Question mark in circle
Postprint: policy unknown
Question mark in circle
Published version: policy unknown

Abstract

AbstractThis work describes a competing activation network, which is regulated by chemical feedback at the liquid‐surface interface. Feedback loops dynamically tune the concentration of chemical components in living systems, thereby controlling regulatory processes in neural, genetic, and metabolic networks. Advances in systems chemistry demonstrate that chemical feedback could be designed based on similar concepts of using activation and inhibition processes. Most efforts, however, are focused on temporal feedback whereas biological networks are maintained by the interplay between temporal and spatial organization. Here, we designed a feedback system comprising a simple acid‐base equilibrium that can be perturbed by two opposing activation processes. Crucially, one of the processes is immobilized on the surface of a microfluidic channel using poly‐l‐lysine (PLL). We measured the capacity of the PLL‐coated channels to resist changes in pH in flow using a pH‐sensitive indicator, phenol red, and showed that this capacity can be increased by employing polyelectrolyte multilayers. Specifically, we found that the rate of local activation (i. e., the deprotonation of the immobilized lysine residues) could be significantly increased to delay the otherwise fast equilibrium. This effect allowed for encoding read and write operations, providing the potential to bestow CRNs with the capacity of molecular information processing.