Please use this identifier to cite or link to this item:
http://doi.org/10.25358/openscience-8151
Authors: | Fan, Xinlong Walther, Andreas |
Title: | pH feedback lifecycles programmed by enzymatic logic gates using common foods as fuels |
Online publication date: | 16-Nov-2022 |
Year of first publication: | 2021 |
Language: | english |
Abstract: | Artificial temporal signaling systems, which mimic living out-of-equilibrium conditions, have made large progress. However, systems programmed by enzymatic reaction networks in multicomponent and unknown environments, and using biocompatible components remain a challenge. Herein, we demonstrate an approach to program temporal pH signals by enzymatic logic gates. They are realized by an enzymatic disaccharide-to-monosaccharide-to-sugar acid reaction cascade catalyzed by two metabolic chains: invertase-glucose oxidase and β-galactosidase-glucose oxidase, respectively. Lifetimes of the transient pH signal can be programmed from less than 15 min to more than 1 day. We study enzymatic kinetics of the reaction cascades and reveal the underlying regulatory mechanisms. Operating with all-food grade chemicals and coupling to self-regulating hydrogel, our system is quite robust to work in a complicated medium with unknown components and in a biocompatible fashion. |
DDC: | 540 Chemie 540 Chemistry and allied sciences |
Institution: | Johannes Gutenberg-Universität Mainz |
Department: | FB 09 Chemie, Pharmazie u. Geowissensch. |
Place: | Mainz |
ROR: | https://ror.org/023b0x485 |
DOI: | http://doi.org/10.25358/openscience-8151 |
Version: | Published version |
Publication type: | Zeitschriftenaufsatz |
License: | CC BY-NC-ND |
Information on rights of use: | https://creativecommons.org/licenses/by-nc-nd/4.0/ |
Journal: | Angewandte Chemie : International edition 60 20 |
Pages or article number: | 11398 11405 |
Publisher: | Wiley-VCH |
Publisher place: | Weinheim |
Issue date: | 2021 |
ISSN: | 1521-3773 |
Publisher DOI: | 10.1002/anie.202017003 |
Appears in collections: | JGU-Publikationen |
Files in This Item:
File | Description | Size | Format | ||
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ph_feedback_lifecycles_progra-20221021123844046.pdf | 2.88 MB | Adobe PDF | View/Open |