Real-time online monitoring of bioprocesses
Industrial biotechnology (IB) has the potential to create new markets while protecting the environment. With this in mind, the EU-funded BIOINDUSTRY 4.0 project will pave the way for IB to become a major manufacturing technology. Supporting the digitalisation of IB, the project will create new services delivered by European research infrastructure. These will address several challenges, focusing on the acceleration of bioprocess development pipelines. BIOINDUSTRY 4.0 will also develop data and metadata standards to generate high-quality, interoperable, multiscale bioprocess data. By developing data-driven approaches and exploiting AI to empower novel decision support systems and digital twins, the project will make it possible to control bioprocesses in real time.
Bioindustry4.0 Objective
Industrial Biotechnology (IB) is a Key Enabling Technology for the circular bio-economy, industrial renewal and European manufacturing autonomy. Its development forms a vital part of EU’s strategy to become climate neutral in 2050. For IB to become a major manufacturing technology, it must widen its use of advanced digital technologies. These will improve R&D efficiency, reducing time-to-market and costs. Moreover, for manufacturing, advanced digital technologies will drive distributed, autonomous and highly adaptable production systems. To support digitalization of IB, BIOINDUSTRY 4.0 will create new services delivered by European research infrastructures (RI). These services will address several challenges, focusing on the acceleration of bio-process development pipelines. Drawing on the complementary skills of its consortium, BIOINDUSTRY 4.0 will develop data-driven approaches, exploiting AI to empower novel decision support systems and digital twins, the latter being to better design bio-processes and enable their real-time online control. To complete these services, BIOINDUSTRY 4.0 will also develop data and metadata standards to generate high quality, interoperable multi-scale bio-process data, the technical basis for trusted data networks and process analytical devices to provide real-time online monitoring of bio-processes. Once deployed, these RI services will provide Users with access to cutting-edge technologies that can be used singly or in an integrated way, covering whole R&D pipelines. Integrated services will be delivered by a distributed RI, conferring Europe with a unique R&D test-bed for bio-process development and a competitive advantage with respect to global competition. To succeed, BIOINDUSTRY 4.0 brings together 6 EU RIs, 1 global company, 2 innovative EU SMEs and several research teams around an ambitious 4-year workplan that will be implemented in consultation with IB stakeholders, using a co-design strategy to specify goals.
Programme: Bioindustry 4.0
SEEK ID: https://hub.ibisba.eu/projects/100
Funding codes:- https://doi.org/10.3030/101094287
- Grant agreement ID: 101094287
Public web page: https://www.bioindustry4.eu/
Organisms: No Organisms specified
IBISBA PALs: No PALs for this Project
Project start date: 1st Jan 2023
Project end date: 31st Dec 2026
TagsRelated items
- People (9)
- Programmes (1)
- Institutions (6)
- Publications (5)
- Presentations (0+17)
- Events (0+10)
- Documents (0+2)
Projects: Industrial-scale penicillin simulation, Bioindustry4.0 Work Package 2: Dissemination, Communication Exploitation and capacity building, Bioindustry4.0 Public dissemination, Bioindustry4.0 Work Package 7: Tools for high-quality datasets, requisite for data-driven methods and services
Institutions: Universität Koblenz
Projects: Uncurated Protocols Library, PlanOvac, SULFOCEL, kHub_Test_2024, PREP-IBISBA, ITINERIS-IBBR-NA, DIALS - Delivering the Infrastructure As a Legal Structure, Bioindustry4.0 Work Package 2: Dissemination, Communication Exploitation and capacity building, Bioindustry4.0 Public dissemination
Institutions: CNR - Consiglio Nazionale delle Ricerche, IBBR, Institute of Biosciences and Bioresources, Institute of Biosciences and BioResources, National Research Council
https://orcid.org/0000-0001-6301-4248
I am a technologist at the Institute of Bioscience and BioResources (CNR-IBBR), with a solid experience in research infrastructure management and scientific communication. In my current role, I manage access for IBISBA’s Italian Node while contributing to data management and the optimisation of laboratory procedures. I serve as Scientific Communication Manager for several European projects involving IBISBA, where I built communication strategies, managed branding, ensured GDPR compliance, and ...
Projects: Bioindustry4.0 Public dissemination
Institutions: Siemens (United Kingdom)
https://orcid.org/0000-0002-5919-1409
Projects: Bioindustry4.0 Work Package 7: Tools for high-quality datasets, requisite for data-driven methods and services, IBISBA-DIALS WP3, Bioindustry4.0 Public dissemination, Data Fabric Usage Demos, raw2ready, SCHEMA, Bioindustry4.0 Work Package 5
Institutions: Athena Research and Innovation Center In Information Communication & Knowledge Technologies
https://orcid.org/0000-0003-1160-5753
Expertise: Bioinformatics, Molecular Biology, machine learning
Tools: Python, machine learning, Genomics, Transcriptomics
Real-time online monitoring of bioprocesses
Industrial biotechnology (IB) has the potential to create new markets while protecting the environment. With this in mind, the EU-funded BIOINDUSTRY 4.0 project will pave the way for IB to become a major manufacturing technology. Supporting the digitalisation of IB, the project will create new services delivered by European research infrastructure. These will address several challenges, focusing on the acceleration of bioprocess development pipelines. ...
Projects: Industrial-scale penicillin simulation, Scorpion antivenom nanobody production in Escherichia coli (Recombinant bispecific VHH), Production of the monoclonal antibody Trastuzumab in Komagataella phaffii (Pichia pastoris) for breast cancer treatment, Bioindustry4.0 Work Package 7: Tools for high-quality datasets, requisite for data-driven methods and services, Hybrid Physics-Informed Neural Networks for Efficient Computational Modeling: A Workflow Framework Applied to Schwanniomyces occidentalis, Saccharomyces cerevisiae, Pseudomonas putida use case, STAMM: Soft sensor moniToring and mAintenance framework for Machine learning Models, Pichia pastoris fermentation, Bioindustry4.0 Public dissemination, Bioindustry4.0 Work Package 2: Dissemination, Communication Exploitation and capacity building, Data Fabric Usage Demos, raw2ready, SCHEMA, Joint Action Research - INRAE-UAB in Pichia pastoris, Joint xylitol fermentations monitored by Kaiser and Timegate Raman devices, UAB - Komagataella phaffii Use Case, Bioindustry4.0 Work Package 5
Web page: https://www.bioindustry4.eu
ROR ID: https://ror.org/0576by029
Department: Not specified
Country:
Greece
City: Marousi
Web page: https://www.athenarc.gr/
ROR ID: https://ror.org/035za2858
Department: Not specified
Country:
Austria
City: Vienna
Web page: https://www.biofaction.com/
ROR ID: Not specified
Department: Not specified
Country:
Italy
City: Rome
Web page: https://www.cnr.it
ROR ID: Not specified
Department: Not specified
Country: Not specified
City: Camberley
ROR ID: Not specified
Department: Not specified
Country:
Germany
City: Koblenz
Web page: https://www.uni-koblenz.de/de
Abstract (Expand)
Authors: Carlos Suarez, Alexander Astudillo, Brett Metcalfe, Matthew Crowther, Jasper J. Koehorst, Esteban Castillo, Ariane Bize, David Camilo Corrales
Date Published: 1st Sep 2026
Publication Type: Journal Article
DOI: 10.1016/j.softx.2026.102783
Citation: SoftwareX 35:102783.
Abstract (Expand)
Authors: Georgios K Georgakilas, Brett Metcalfe, Ariane Bize, Matthew Crowther, Emilie Fernandez, Susana Maria Alonso Villela, Stuart Owen, Rudolf Wittner, David Camilo Corrales, Anselm von Gladiss, Peter Blomberg, Munazah Andrabi, Cesar Arturo Aceves Lara, Hans Mattila, Marily Wiebe, Theodore Dalamagas, Jasper J Koehorst
Date Published: 2026
Publication Type: Journal Article
DOI: 10.1093/gigascience/giag038
Citation: GigaScience 15:giag038.
Abstract (Expand)
Authors: Brett Metcalfe, Juan Camilo Acosta-Pavas, Carlos Eduardo Robles-Rodriguez, George K. Georgakilas, Theodore Dalamagas, Cesar Arturo Aceves-Lara, Fayza Daboussi, Jasper J Koehorst, David Camilo Corrales
Date Published: 1st Mar 2025
Publication Type: Journal Article
DOI: 10.1016/j.compchemeng.2024.108991
Citation: Computers & Chemical Engineering 194:108991
Abstract (Expand)
Authors: Juan Camilo Acosta-Pavas, Carlos Eduardo Robles-Rodriguez, David Griol, Fayza Daboussi, Cesar Arturo Aceves-Lara, David Camilo Corrales
Date Published: 1st Aug 2024
Publication Type: Journal Article
DOI: 10.1016/j.compchemeng.2024.108736
Citation: Computers & Chemical Engineering 187:108736
Abstract (Expand)
Editor:
Date Published: 2024
Publication Type: Journal Article
DOI: 10.1016/B978-0-443-28824-1.50535-4
Citation: 34th European Symposium on Computer Aided Process Engineering / 15th International Symposium on Process Systems Engineering 53:3205-3210,Elsevier
Overview