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CO₂-Driven pH Control in the Enzymatic Hydrolysis of Urea: A Coupled Modeling–Experiment Approach
Citation Link: https://doi.org/10.15480/882.17011
Type
Experimental Data
Source Code
Version
01
Date Issued
2026-04-28
Language
English
TORE-DOI
Abstract
This dataset contains data from the investigation of CO₂ as a pH regulator in enzyme-catalyzed urea hydrolysis. It includes the analytical results of the experiments, the source code for simulations used in experimental design, and a descriptive README file explaining the contents of the dataset.
Subjects
pH-control
kinetic modeling
Bayesian-optimization
biocatalysis
DDC Class
572: Biochemistry
Funding Organisations
More Funding Information
This project is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – SFB 1615 – 503850735.
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NLR_for_parameterization.py
Size
7.33 KB
Format
Python
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parity_plot_ph.py
Size
2.58 KB
Format
Python
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parity_plot_u.py
Size
2.7 KB
Format
Python
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pH_response_curve.py
Size
3.16 KB
Format
Python
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README_Supplementary_Data.txt
Size
11.45 KB
Format
Text
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Simulation.py
Size
6.39 KB
Format
Python
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Table_S1.csv
Size
162 B
Format
CSV
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Table_S2.csv
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214 B
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CSV
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Table_S3.csv
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109 B
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CSV
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Table_S4.csv
Size
107 B
Format
CSV