Details about this organism
Synonyms (1)Penicillium chrysogeum
Definitions (0)
None defined
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Strain details
| Name | Provider name | Provider's strain ID | Genotypes | Phenotypes | Synonym | Comments | Based on |
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Related items
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
Web page: https://www.bioindustry4.eu
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
Web page: https://www.bioindustry4.eu
Artificial intelligence (AI) and machine learning (ML) models as well as Digital shadows and Digital twins as well as Digital shadows and Digital twins have been, and are being, developed for a variety of applications, including industrial process supervision, bioprocess optimization, energy management, and environmental monitoring. In cases where models have the aim to classify, predict, or forecast a variable of interest then these models must become deployable in real-time so that their ...
Programme: Bioindustry 4.0
Public web page: https://stamm.inrae.fr
Organisms: Penicillium chrysogenum
Industrial-scale penicillin simulation
Industrial-scale penicillin simulation (IndPenSim) is a first principles mathematical model of a 100,000 Litre fermentation of an industrial strain of Penicillium chrysogenum validated using historical data collected from an industrial-scale penicillin fermentation process. Adapting a previously published structured model to describe penicillin fermentation and extending the model to include the main environmental effects of dissolved oxygen, ...
Programme: Bioindustry 4.0
Public web page: http://www.industrialpenicillinsimulation.com/
Start date: 1st Jan 2023
End date: 31st Dec 2026
Organisms: Penicillium chrysogenum
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
DOI: 10.1016/j.compchemeng.2024.108736
Citation: Computers & Chemical Engineering 187:108736