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TECHNOLOGY PLATFORMS OF TWB Strain Biotransformation Process - PowerPoint PPT Presentation

www.toulouse-white-biotechnology.com Cline Jouanin Anthony Vollant Amlie Briane - Julien Cescut Version 2017-10-23 2017-10-26 Rencontre IngStats TECHNOLOGY PLATFORMS OF TWB Strain Biotransformation Process engineering &


  1. www.toulouse-white-biotechnology.com Céline Jouanin – Anthony Vollant – Amélie Briane - Julien Cescut Version 2017-10-23 2017-10-26 Rencontre IngéStats

  2. TECHNOLOGY PLATFORMS OF TWB Strain Biotransformation Process engineering & culture development Analytic Bio-informatic Environnemental Evaluation Ethic 1 www.toulouse-white-biotechnology.com

  3. BIOTRANSFORMATION FROM 50 mL TO 200L 50 mL 500 mL 200 L 20 L 2 L 2 www.toulouse-white-biotechnology.com

  4. THE NEED TO SCREEN Strain evaluation Environmental parameter optimization Medium optimization Process optimization bottleneck Up & down process optimization Process robustness optimization Time consuming Industrial approved 10 n combinaisons HTS 3

  5. THE SOLUTIONS Miniaturisation 4

  6. THE SOLUTIONS Parallelization 5

  7. THE SOLUTIONS Automatisation 6

  8. CUSTOM ROBOTIC PLATEFORM X X

  9. ROBOTIC MOVEMENT PROGRAMMING 8

  10. MAIN WORKFLOW I II Conditionnal Preculture seeding Culture III process 1-50 Sample IV Sampling processing 9

  11. I PRECULTURE PHASE Incubation in plate reader (Xenius, Safas)  monitoring of optical density 10 Preculture

  12. II SEEDING PHASE Communication between reader and liquid handling robot  Conditionnal seeding Conditional 11 seeding

  13. III CULTURE Overview of numerous signals  regulator adaptation to the biological kinetics Culture 12 process

  14. IV SAMPLING 13 Sampling

  15. SAMPLE PROCESSING Cytometry, CDW, biobank total sample HPLC, GC-MS Filtration; centrifugation - 20 °C to + 4 °C Sample 14 processing

  16. RAW DATA

  17. MULTIFACTOR OPTIMIZATION Statistics exploitation of DoE with R, JMP Glucose Acetic Acid µmax DO Optimum : • 37.4 ° C + Cartography Validation in 20 L • 7.1 upH (not shown) 16

  18. DATA PROCESSING Acquire data Analysis - Automatisation Filtering Execute Reformat and Algorithm scripts clean data Edit analysis Quality Preparation scripts indicators Vizualization Explore Inspect alternatives outputs Debug New project Distribution&Storage Make New comparison Report equipment New idea Share experiment New Archive experiment Analysis Meeting in database Reflection 17

  19. CONCLUSION • Custom design of fermentation robotic plateform • 24 instrumented mini-reactors • Automatisation steps from preculture to supernatant separation  Acceleration of best strain or optimal environmental parameters finding  In progress: implementation of automatic data/file processing and database setting up 18

  20. www.toulouse-white-biotechnology.com THANK YOU 19

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