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Methodology for fast development of digital solutions in integrated continuous downstream processing

Andersson, Niklas LU orcid ; Fons, Joaquín Gomis LU ; Isaksson, Madelène LU ; Tallvod, Simon LU ; Espinoza, Daniel LU ; Sjökvist, Linnea ; Andersson, Gusten Zandler LU and Nilsson, Bernt LU (2023) In Biotechnology and Bioengineering
Abstract

The methodology for production of biologics is going through a paradigm shift from batch-wise operation to continuous production. Lot of efforts are focused on integration, intensification, and continuous operation for decreased foot-print, material, equipment, and increased productivity and product quality. These integrated continuous processes with on-line analytics become complex processes, which requires automation, monitoring, and control of the operation, even unmanned or remote, which means bioprocesses with high level of automation or even autonomous capabilities. The development of these digital solutions becomes an important part of the process development and needs to be assessed early in the development chain. This work... (More)

The methodology for production of biologics is going through a paradigm shift from batch-wise operation to continuous production. Lot of efforts are focused on integration, intensification, and continuous operation for decreased foot-print, material, equipment, and increased productivity and product quality. These integrated continuous processes with on-line analytics become complex processes, which requires automation, monitoring, and control of the operation, even unmanned or remote, which means bioprocesses with high level of automation or even autonomous capabilities. The development of these digital solutions becomes an important part of the process development and needs to be assessed early in the development chain. This work discusses a platform that allows fast development, advanced studies, and validation of digital solutions for integrated continuous downstream processes. It uses an open, flexible, and extendable real-time supervisory controller, called Orbit, developed in Python. Orbit makes it possible to communicate with a set of different physical setups and on the same time perform real-time execution. Integrated continuous processing often implies parallel operation of several setups and network of Orbit controllers makes it possible to synchronize complex process system. Data handling, storage, and analysis are important properties for handling heterogeneous and asynchronous data generated in complex downstream systems. Digital twin applications, such as advanced model-based and plant-wide monitoring and control, are exemplified using computational extensions in Orbit, exploiting data and models. Examples of novel digital solutions in integrated downstream processes are automatic operation parameter optimization, Kalman filter monitoring, and model-based batch-to-batch control.

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author
; ; ; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
epub
subject
keywords
batch-to-batch conttrol, continuous downstream processing, digital twin, on-line model-based monitoring, process automation, real-time data analysis
in
Biotechnology and Bioengineering
publisher
John Wiley & Sons Inc.
external identifiers
  • pmid:37458361
  • scopus:85165278089
ISSN
0006-3592
DOI
10.1002/bit.28501
language
English
LU publication?
yes
id
f672b18a-9ace-420a-8664-b6e92ce338f9
date added to LUP
2023-10-06 13:15:39
date last changed
2024-04-19 02:02:01
@article{f672b18a-9ace-420a-8664-b6e92ce338f9,
  abstract     = {{<p>The methodology for production of biologics is going through a paradigm shift from batch-wise operation to continuous production. Lot of efforts are focused on integration, intensification, and continuous operation for decreased foot-print, material, equipment, and increased productivity and product quality. These integrated continuous processes with on-line analytics become complex processes, which requires automation, monitoring, and control of the operation, even unmanned or remote, which means bioprocesses with high level of automation or even autonomous capabilities. The development of these digital solutions becomes an important part of the process development and needs to be assessed early in the development chain. This work discusses a platform that allows fast development, advanced studies, and validation of digital solutions for integrated continuous downstream processes. It uses an open, flexible, and extendable real-time supervisory controller, called Orbit, developed in Python. Orbit makes it possible to communicate with a set of different physical setups and on the same time perform real-time execution. Integrated continuous processing often implies parallel operation of several setups and network of Orbit controllers makes it possible to synchronize complex process system. Data handling, storage, and analysis are important properties for handling heterogeneous and asynchronous data generated in complex downstream systems. Digital twin applications, such as advanced model-based and plant-wide monitoring and control, are exemplified using computational extensions in Orbit, exploiting data and models. Examples of novel digital solutions in integrated downstream processes are automatic operation parameter optimization, Kalman filter monitoring, and model-based batch-to-batch control.</p>}},
  author       = {{Andersson, Niklas and Fons, Joaquín Gomis and Isaksson, Madelène and Tallvod, Simon and Espinoza, Daniel and Sjökvist, Linnea and Andersson, Gusten Zandler and Nilsson, Bernt}},
  issn         = {{0006-3592}},
  keywords     = {{batch-to-batch conttrol; continuous downstream processing; digital twin; on-line model-based monitoring; process automation; real-time data analysis}},
  language     = {{eng}},
  publisher    = {{John Wiley & Sons Inc.}},
  series       = {{Biotechnology and Bioengineering}},
  title        = {{Methodology for fast development of digital solutions in integrated continuous downstream processing}},
  url          = {{http://dx.doi.org/10.1002/bit.28501}},
  doi          = {{10.1002/bit.28501}},
  year         = {{2023}},
}