18437623. SYSTEMS AND METHODS FOR OPTIMIZING A BIOREACTOR FOR CONTROLLING GROWTH OF HUMAN STEM CELLS simplified abstract (Tata Consultancy Services Limited)
Contents
SYSTEMS AND METHODS FOR OPTIMIZING A BIOREACTOR FOR CONTROLLING GROWTH OF HUMAN STEM CELLS
Organization Name
Tata Consultancy Services Limited
Inventor(s)
Srinivas Prakash Diwanji of Pune (IN)
Venkataramana Runkana of Pune (IN)
Karundev Premraj of Bangalore (IN)
Venkata Sudheendra Buddhiraju of Pune (IN)
SYSTEMS AND METHODS FOR OPTIMIZING A BIOREACTOR FOR CONTROLLING GROWTH OF HUMAN STEM CELLS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18437623 titled 'SYSTEMS AND METHODS FOR OPTIMIZING A BIOREACTOR FOR CONTROLLING GROWTH OF HUMAN STEM CELLS
Simplified Explanation: The patent application introduces a system and method for optimizing the control and operation of a bioreactor using a physics-based model and simulated variables derived from sensor data.
- The system utilizes a physics-based model to simulate variables based on sensor data from soft sensors placed on the bioreactor.
- Real-time operating parameters of the bioreactor are optimized using the set of simulated variables.
- Correction factors are calculated by comparing the optimized parameters with the actual operating parameters.
- Recommended parameter values are identified based on the correction factors to update the real-time operating parameters accordingly.
Key Features and Innovation:
- Implementation of a physics-based model for bioreactor control and optimization.
- Utilization of pre-processed sensor data from soft sensors for simulation.
- Optimization of real-time operating parameters based on simulated variables.
- Calculation of correction factors to improve operating parameters.
- Identification of recommended parameter values for updating operating parameters.
Potential Applications: The technology can be applied in various industries such as pharmaceuticals, biotechnology, and environmental engineering for optimizing bioreactor operations.
Problems Solved:
- Addressing the challenges of controlling and optimizing bioreactors due to unpredictable cell behavior and non-linear process dynamics.
- Providing a solution for improving real-time operating parameters based on simulated variables.
Benefits:
- Enhanced control and optimization of bioreactor operations.
- Improved efficiency and productivity in bioprocesses.
- Reduction of manual intervention and human error in bioreactor management.
Commercial Applications: Optimized bioreactor control technology can be utilized in pharmaceutical manufacturing, bioprocessing plants, and research laboratories to streamline operations and enhance productivity.
Questions about Bioreactor Optimization: 1. How does the physics-based model improve the optimization of bioreactor operations? 2. What are the potential long-term benefits of implementing this technology in bioprocessing industries?
Original Abstract Submitted
Conventionally control and optimization of bioreactor has been challenging due to the unpredictable behaviour of living cells and non-linear process dynamics. Present disclosure provides systems and methods that implement a physics-based model that performs simulation on pre-processed sensor values obtained from various soft sensors placed on a bioreactor to obtain simulated variables. Using the set of simulated variables, real-time operating parameters pertaining to the bioreactor are optimized. The optimized real-time operating variables are then compared with the actual real-time operating parameters to obtain a set of correction factors. One or more recommended parameter values are identified based on the correction factors and the real-time operating parameters are updated accordingly.
