20240018460. METHODS AND APPARATUS FOR SCALING IN BIOPROCESS SYSTEMS simplified abstract (GLOBAL LIFE SCIENCES SOLUTIONS USA LLC)

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METHODS AND APPARATUS FOR SCALING IN BIOPROCESS SYSTEMS

Organization Name

GLOBAL LIFE SCIENCES SOLUTIONS USA LLC

Inventor(s)

Andreas Castan of Uppsala (SE)

Nagaraju Konduru of Bengaluru (IN)

Ashish Handa of Bengaluru (IN)

Neelima Boddapati of Bengaluru (IN)

Helena Öhrvik of Uppsala (SE)

Alok Singh Chauhan of Bengaluru (IN)

METHODS AND APPARATUS FOR SCALING IN BIOPROCESS SYSTEMS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240018460 titled 'METHODS AND APPARATUS FOR SCALING IN BIOPROCESS SYSTEMS

Simplified Explanation

Methods and apparatus for scaling in bioprocess systems are disclosed in this patent application. The example apparatus includes memory to store instructions and processor circuitry to execute the instructions. The purpose of this invention is to identify an operating parameter of a target bioreactor and determine an upper or lower boundary that defines a design space for at least one bioreactor process parameter. This is done to match a first or second target parameter range based on the operating parameter. The apparatus then simulates changes in the target parameter range based on adjustments to the upper or lower boundary in the design space. The target bioreactor is configured using the output obtained from the adjustment to identify a match between the target parameter range and the adjusted boundary.

  • The invention is an apparatus for scaling in bioprocess systems.
  • It includes memory to store instructions and processor circuitry to execute the instructions.
  • The apparatus identifies an operating parameter of a target bioreactor.
  • It determines an upper or lower boundary that defines a design space for at least one bioreactor process parameter.
  • The purpose is to match a first or second target parameter range based on the operating parameter.
  • The apparatus simulates changes in the target parameter range based on adjustments to the upper or lower boundary in the design space.
  • The target bioreactor is configured using the output obtained from the adjustment to identify a match between the target parameter range and the adjusted boundary.

Potential applications of this technology:

  • Bioprocess scaling in various industries such as pharmaceuticals, biotechnology, and food production.
  • Optimizing bioreactor processes for increased efficiency and productivity.
  • Scaling up bioprocesses for large-scale production.

Problems solved by this technology:

  • Difficulty in scaling bioprocesses from lab-scale to large-scale production.
  • Inefficient use of resources and time in bioprocess optimization.
  • Lack of a systematic approach to matching target parameter ranges in bioreactor processes.

Benefits of this technology:

  • Improved scalability of bioprocesses, allowing for efficient production at larger scales.
  • Enhanced optimization of bioreactor processes, leading to increased productivity and yield.
  • Streamlined approach to matching target parameter ranges, reducing trial and error in bioprocess development.


Original Abstract Submitted

methods and apparatus for scaling in bioprocess systems are disclosed. an example apparatus for bioprocess scaling includes at least one memory to store instructions, and processor circuitry to execute the instructions to identify an operating parameter of a target bioreactor, determine an upper boundary or a lower boundary defining a design space for at least one bioreactor process parameter to match at least one of a first target parameter range or a second target parameter range based on the operating parameter, simulate changes in the first target parameter range or a second target parameter range based on an adjustment to the upper boundary or the lower boundary in the design space, and configure the target bioreactor using output obtained from the adjustment to the upper boundary or the lower boundary to identify a match between the first target parameter range or the second target parameter range.

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