Abstract

Enzymatic hydrolysis processes can be used to produce organic nutrient media from renewable raw materials. However, many of these processes are not optimally designed, so expensive enzymes and substrates are wasted. Mathematical models and Digital Twins (DTs) are powerful tools, which can be used to optimize bioprocesses and, thus, increase the yield of the desired products. Individual enzymatic hydrolysis processes have already been modeled, but models for the combined starch hydrolysis and proteolysis, or DTs, are not available yet. Therefore, an easily adaptable, dynamic, and mechanistic mathematical model representing the kinetics of the enzymatic hydrolysis process of the combined starch hydrolysis and proteolysis was developed and parameterized using experimental data. The model can simulate the starch hydrolysis process with an agreement of over 90% and the proteolysis process with an agreement of over 85%. Subsequently, this model was implemented into an existing DT of a 20 L stirred tank reactor (STR). Since the DT cannot only map the kinetics of the enzymatic process, but also the STR with the associated periphery (pumps, heating jacket, etc.), it is ideally suited for future process control strategy development and thus for the optimization of enzymatic hydrolysis processes.

Highlights

  • Enzymatic hydrolysis processes, such as starch hydrolysis and proteolysis, play a key role in the production of organic nutrient media, as no toxic chemicals or other additives are needed in these processes

  • After successful reparameterization of the model, the model was embedded into the existing Digital Twins (DTs)

  • Determines the slope on the high side of the function. These double sigmoidal (DSig) equations are used in the mathematical model of the enzymatic hydrolysis processes to fit the temperature and pH dependency of the enzymes

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Summary

Introduction

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. DTs are digital representatives of material or immaterial objects or processes It is irrelevant whether the counterpart already exists in the real world or will exist in the future. To facilitate the operation of DTs, they can be and periphery as well as a control and automation sub-model. These GUIs are designed to the of DTs, they can be equipped with graphical user interfaces (GUIs) These GUIs are deuser interfaces of the reactors’ process control systems. Once the new process model has been integrated, the entire production cycle, equipment. It is shown how conthe new DT and real experiments is made It is shown how control strategies trolbestrategies can be developed the new DT for enzymatic hydrolysis processes.

Methods
Development of the Enzymatic Hydrolysis Process Model
Design of experiments
Starch Hydrolysis
Proteolysis
Results
Experimentally
Designing Experiments Using the Model of the Enzymatic Hydrolysis Processes
Application of the DT for Enzymatic Hydrolysis Processes
20 Ltemperature
Full Text
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