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Bioreactors are engineered vessels designed to cultivate microorganisms under controlled conditions for industrial bioprocessing. They maintain sterility and allow precise regulation of pH, temperature, oxygen, and nutrient levels to optimize microbial growth and metabolite production. Bioreactors range from small laboratory units of 1 liter to industrial systems holding up to 500,000 liters, though only about 75% of their volume is actively used for fermentation. The remaining headspace...
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Strain improvement is a foundational strategy in industrial microbiology aimed at maximizing microbial productivity, particularly because natural isolates typically yield commercially valuable products in very low concentrations. Although optimizing the culture medium and environmental conditions can improve yields, these adjustments are inherently limited by the organism’s genetic potential. As a result, the focus shifts toward genetic modifications to enhance biosynthetic capacity. The...
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Growth media provide essential nutrients that support cell growth and metabolism, thereby enhancing the yield of valuable products such as enzymes, antibiotics, and biomass. Designing an effective growth medium involves balancing all components to prevent nutrient limitations or toxic excesses, both of which can impair growth and reduce product yields.Composition of a Typical Growth MediumA typical growth medium contains carbon and nitrogen sources, salts, vitamins, trace elements, and...
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The scale-up of microbial fermentation processes is essential in industrial biotechnology, allowing the transition from laboratory-scale experiments to commercial-scale production while aiming to maintain product yield and quality. This process requires meticulous adjustment of equipment design, process parameters, and contamination control strategies to accommodate increasing culture volumes.At the laboratory scale, cultures are typically maintained in 1 to 10-liter glass or autoclavable...
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Upstream processing represents a critical phase in biomanufacturing, wherein biological systems such as microorganisms, mammalian cells, or insect cells are cultivated to produce therapeutic proteins, vaccines, enzymes, or other biologically derived products. This phase encompasses all steps from the selection and genetic manipulation of the production organism to the cultivation of cells in bioreactors under tightly controlled environmental conditions.Host Selection and Genetic OptimizationThe...
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Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology
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Digitalization concepts in academic bioprocess development.

Tessa Habich1, Sascha Beutel1

  • 1Institute of Technical Chemistry Leibniz University Hannover Hannover Germany.

Engineering in Life Sciences
|April 8, 2024
PubMed
Summary
This summary is machine-generated.

Digitalization is transforming laboratory work, but academic bioprocess labs face challenges. Successful digital transformation requires close collaboration between IT experts and scientists to create user-friendly digital infrastructure.

Keywords:
FAIR dataLADSSiLA2automationdigitalization

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Area of Science:

  • Biotechnology
  • Laboratory Science
  • Digital Transformation

Background:

  • Laboratories are increasingly adopting digitalization, including integrated devices, automation, and simulation.
  • Academic bioprocess laboratories often lag in digitalization due to diverse research needs and team compositions.
  • Despite challenges like complex workflows, staff turnover, and budget limits, successful digitalization is achievable.

Purpose of the Study:

  • To provide an overview of digitalization in laboratory settings.
  • To describe successful digitalization strategies in academic laboratories.
  • To offer insights for laboratories embarking on digital transformation.

Main Methods:

  • Literature review and synthesis of case studies on laboratory digitalization.
  • Analysis of key factors contributing to successful digital transformation in academic bioprocess labs.
  • Identification of best practices for integrating digital tools into laboratory workflows.

Main Results:

  • Digitalization is reshaping laboratory operations across various sectors.
  • Academic bioprocess laboratories encounter unique hurdles in adopting digital technologies.
  • Collaboration between IT specialists and scientific staff is crucial for effective digitalization.
  • Digital infrastructure must support, not hinder, laboratory workers' tasks.

Conclusions:

  • Successful digitalization in academic bioprocess labs hinges on tailored concepts and close IT-scientific collaboration.
  • Digital infrastructure must be user-centric and adaptable to individual laboratory needs.
  • This review serves as a foundational resource for laboratories seeking to digitalize their environment.