TUHH Open Research
Help
New user? Click here to register.Have you forgotten your password?
Communities & Collections
Publications
Research Data
People
Institutions
Projects
  1. Home
  2. Publications
  3. Publications
  4. CO₂-driven pH control in the enzymatic hydrolysis of urea: a coupled modeling-experiment approach

CO₂-driven pH control in the enzymatic hydrolysis of urea: a coupled modeling-experiment approach

Citation Link: https://doi.org/10.15480/882.17370
Publikationstyp
Journal Article
Date Issued
2026-06-25
Sprache
English
Author(s)
Dittmer, Kayla
Technische Biokatalyse V-6
Paschalidis, Leandros
Systemverfahrenstechnik V-4
Ng-Brossard, Chloe
Technische Biokatalyse V-6
Ohde, Daniel
Technische Biokatalyse V-6
Liese, Andreas
Technische Biokatalyse V-6
Skiborowski, Mirko
Systemverfahrenstechnik V-4
TORE-DOI
10.15480/882.17370
TORE-URI
https://hdl.handle.net/11420/63658
Journal
Industrial & engineering chemistry research
Volume
65
Issue
26
Start Page
13617
End Page
13626
Citation
Industrial & Engineering Chemistry Research 65 (26): 13617–13626 (2026)
Publisher DOI
10.1021/acs.iecr.6c00912
Scopus ID
2-s2.0-105044076913
Publisher
American Chemical Society (ACS)
Is Supplemented By
10.15480/882.17184
Enzymatic biotransformations can offer sustainable alternatives to conventional chemical processes, but their activity often strongly depends on the pH of the reaction solution. The urease-catalyzed hydrolysis of urea provides a mild route for ammonia production; however, this ammonia production inherently increases the pH in a buffer-free system, rapidly decreasing urease activity. In this work, we combine modeling and experiments to develop a buffer-free pH control strategy for the enzymatic hydrolysis of urea that relies on the dissolution of gaseous carbon dioxide (CO₂). CO₂, which is actually a byproduct of enzymatic urea hydrolysis, is deliberately added to regulate the pH and enhance productivity. A kinetic model for urea hydrolysis is coupled with a thermodynamic model of the acid–base equilibria in the aqueous phase to analyze and design the process. Bayesian optimization is applied to calculate the optimal partial pressures for CO₂ in the gas phase to maximize productivity. The resulting concept is successfully demonstrated experimentally, highlighting a practical approach with minimal downstreaming requirements to control pH in enzymatic reactions.
DDC Class
660.2: Chemical Engineering
572: Biochemistry
Funding(s)
SFB 1615 - SMARTe Reaktoren für die Verfahrenstechnik der Zukunft
SFB 1615 - Teilprojekt A04: Selbstregulierende optimierte Oberflächen für autonom betriebene Bioprozesse
SFB 1615 - Teilprojekt B06: Systematische Multiskalenmodellierung und Designkonzept für SMARTe Reaktoren
United Nations University Hub on Engineering to Face Climate Change at Hamburg University of Technology
Lizenz
https://creativecommons.org/licenses/by/4.0/
Publication version
publishedVersion
Loading...
Thumbnail Image
Download
Name

co2-driven-ph-control-in-the-enzymatic-hydrolysis-of-urea-a-coupled-modeling-experiment-approach.pdf

Type

Main Article

Size

2.11 MB

Format

Adobe PDF

Loading...
Thumbnail Image
Download
Name

ie6c00912_si_001.pdf

Type

Main Article

Size

822.97 KB

Format

Adobe PDF

TUHH
Weiterführende Links
  • Contact
  • Send Feedback
  • Cookie settings
  • Privacy policy
  • Impress
DSpace Software

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science
Design by effective webwork GmbH

  • Deutsche NationalbibliothekDeutsche Nationalbibliothek
  • ORCiD Member OrganizationORCiD Member Organization
  • DataCiteDataCite
  • Re3DataRe3Data
  • OpenDOAROpenDOAR
  • OpenAireOpenAire
  • BASE Bielefeld Academic Search EngineBASE Bielefeld Academic Search Engine
Feedback