bioreactor-technical-analysis

Analysis workflow for yield prediction and optimisation in bioreactors for cultivated meat production

https://github.com/upstream-applied-science/bioreactor-technical-analysis

Science Score: 44.0%

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Low similarity (8.3%) to scientific vocabulary

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Repository

Analysis workflow for yield prediction and optimisation in bioreactors for cultivated meat production

Basic Info

Host: GitHub
Owner: Upstream-Applied-Science
License: mit
Language: Jupyter Notebook
Default Branch: main
Size: 929 KB

Statistics

Stars: 17
Watchers: 2
Forks: 2
Open Issues: 0
Releases: 1

Created over 3 years ago · Last pushed almost 2 years ago

Metadata Files

Readme License Citation

Bioreactor Technical Analysis (BioTA)

Technical analysis workflow development for yield prediction and optimisation in bioreactors for cultivated meat production. The motivation is to build on existing approaches by extending the modelling to couple with computational fluid dynamic models or other sources of bioreactor performance characteristics and to utilise optimisation techniques to generate optimum yield predictions for variations in bioreactor architecture, geometry and operating conditions.

This work has been funded by the Good Food Institute (https.gfi.org) through their 2022 RFP.

Usage

Clone to a working directory or to a location in your python path. Future releases may be provided as pip packages.

Release History

v0.1.0 Initial release

Uses existing published modelling approaches for biorector performance and cell metabolism. Examples for basic use of yield prediction and brute force optimisation.

v1.0.0 Optimisation workflow release

Provides: 1. Two optimisation workflows which use different system level bioreactor models to predict yield from performance characteristics generated by a CFD model 2. The system level bioreactor models 3. Templates of the CFD models used in the optimisations and additional CFD models used to assess the effects of spatial variation in dissolved oxygen concntration coupled to concentration dependent cellular uptake rate 4. Results of the optimisations

Details are provided in engrxiv.

Owner

Name: Upstream Applied Science
Login: Upstream-Applied-Science
Kind: organization

Website: https://www.upstream-applied-science.com
Repositories: 1
Profile: https://github.com/Upstream-Applied-Science

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Hubbard"
  given-names: "Simon"
  orcid: "https://orcid.org/0009-0009-5030-1112"
title: "BioTA - Bioreactor Technical Analysis"
version: 1.0
date-released: 2023-02
url: "https://github.com/Upstream-Applied-Science/bioreactor-technical-analysis"

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