Style Editor Docs
     
  • Home
  • Products & Services
    • DataHowLab
    • Professional Services
    • Innovation Hub
  • Resources
    • Technology
    • Publications
    • Bioprocess Blog
  • Education & Events
    • Schedule events & trainings
    • Symposium
  • About
    • DataHow
    • Team
    • Careers
    • Contact
   info@datahow.ch
  • Home
  • Products & Services
    • DataHowLab
    • Professional Services
    • Innovation Hub
  • Resources
    • Technology
    • Publications
    • Bioprocess Blog
  • Education & Events
    • Schedule events & trainings
    • Symposium
  • About
    • DataHow
    • Team
    • Careers
    • Contact
    Publications  ·  17. September 2020

    Automated Conditional Screening of Escherichia Coli Knockout Mutants in Parallel Adaptive Fed-Batch Cultivations

    Full title: 

    Automated Conditional Screening of Escherichia Coli Knockout Mutants in Parallel Adaptive Fed-Batch Cultivations

     

    Abstract:

    In bioprocess development, the host and the genetic construct for a new biomanufacturing process are selected in the early developmental stages. This decision, made at the screening scale with very limited information about the performance of the selected cell factory in larger reactors, has a major influence on the performance of the final process. To overcome this, scaledown approaches are essential to run screenings that show the real cell factory performance at industrial like conditions. We present a fully automated robotic facility with 24 parallel mini-bioreactors that is operated by a model based adaptive input design framework for the characterization of clone libraries under scale-down conditions. The cultivation operation strategies are computed and continuously refined based on a macro-kinetic growth model that is continuously re-fitted to the available experimental data. The added value of the approach is demonstrated with 24 parallel fed-batch cultivations in a mini-bioreactor system with eight different Escherichia coli strains in triplicate. The 24 fed-batches ran under the desired conditions generating sufficient information to define the fastest growing strain in an environment with varying glucose concentrations similar to industrial scale bioreactors.

    Full Publication
    tagPlaceholderTags:

    Write a comment

    Comments: 0
    draggable-logo

    Hagenholzstrasse.111 / 8050 Zurich/ info@datahow.ch 


    Schedule a Demo

    Edit here your navigation button
    is-switcher admin-only
    is-switcher admin-only
    is-switcher admin-only

     

    Main colors
       bg-primary
       bg-primary-light
       bg-primary-dark
       bg-secondary
       bg-secondary-dark
    Template sections
       body
       top-header
       header
       content
    Footer Styles
       background
       text color
       link color
       horizontal line
    Buttons
       style 1
       style 2
       style 3
    Other elements
      social icons
      navigation color
      subnav background
    Mobile navigation
       background color
       navigation color
    Template configurations
    g-font
    navigation styles
    size-17 weight-400
    content styles
    form-white
    footer styles
    o-form color-white
    Typography
    Heading H1
    weight-600
    Heading H2
    weight-600
    Heading H3
    weight-600
    Buttons
    weight-600 is-uppercase
    Animations
    wow animated fadeInUp

    Note:
    All changes made here will be applied to your entire website.

    About | Privacy Policy | Cookie Policy | Sitemap
    © Copyright 2022 - DataHow - All rights reserved
    Log out | Edit
    • Scroll to top