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Kinetic model and optimization of co-culture bioreactor with in-situ product removal

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Co-culture Fermentation Model and Optimization

Lucas Van der Hauwaert, University of Santiago de Compostela, Spain
October 2021

For inquiries or to request the use of this code, please contact: [email protected]

Description

This code develops a model for a co-culture reactor designed for proprionate production, incorporating In-situ Product Removal (ISPR) through reverse enhanced electro-dialysis.

Contents

  1. Excel Files: Contains data files for experiments, extraction, and spikes, along with information for the "parameters" structure.
  2. Get_Functions: Functions to retrieve data from Excel files.
  3. Functions: Essential functions for running scripts across all folders.
  4. Kinetics: Contains kinetic expressions used in mass balances.
  5. Sampling: Implements Latin Hypercube Sampling with correlations based on Iman-Conover's method (2007).
  6. Calibration: Executes parameter estimation, Monte Carlo simulations, and the bootstrap method for batch models.
  7. Validation: Combines parameters for both models, validating them against experiment BV5.
  8. Optimisation: Includes scripts for single, multiple, and stochastic optimization.

Important Note

Please run RUN_ME_FIRST to connect all folders to the working directory.

Bibliography

  • Iman, Ronald L, and W J Conover. (2007). "A Distribution-Free Approach to Inducing Rank Correlation among Input Variables." Communications in Statistics - Simulation and Computation, no. September 2012: 37–41.

Publication

  • Van der Hauwaert, L., Regueira, A., Selder, L., Zeng, A. P., & Mauricio-Iglesias, M. (2022). "Optimising bioreactor processes with in-situ product removal using mathematical programming: A case study for propionate production." Computers & Chemical Engineering, 168, 108059. DOI

Acknowledgments

This work was supported by the ALQUIMIA project (PID2019-110993RJ-I00), funded by the Agencia Estatal de Investigación under the Programa Retos de la sociedad, modalidad Jovenes investigadores, convocatoria 2019.

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