Literature DB >> 22489000

Soft sensors in bioprocessing: a status report and recommendations.

Reiner Luttmann1, Daniel G Bracewell, Gesine Cornelissen, Krist V Gernaey, Jarka Glassey, Volker C Hass, Christian Kaiser, Christian Preusse, Gerald Striedner, Carl-Fredrik Mandenius.   

Abstract

The following report with recommendations is the result of an expert panel meeting on soft sensor applications in bioprocess engineering that was organized by the Measurement, Monitoring, Modelling and Control (M3C) Working Group of the European Federation of Biotechnology - Section of Biochemical Engineering Science (ESBES). The aim of the panel was to provide an update on the present status of the subject and to identify critical needs and issues for the furthering of the successful development of soft sensor methods in bioprocess engineering research and for industrial applications, in particular with focus on biopharmaceutical applications. It concludes with a set of recommendations, which highlight current prospects for the extended use of soft sensors and those areas requiring development.
Copyright © 2012 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Mesh:

Year:  2012        PMID: 22489000     DOI: 10.1002/biot.201100506

Source DB:  PubMed          Journal:  Biotechnol J        ISSN: 1860-6768            Impact factor:   4.677


  22 in total

Review 1.  Bioengineering Solutions for Manufacturing Challenges in CAR T Cells.

Authors:  Nicole J Piscopo; Katherine P Mueller; Amritava Das; Peiman Hematti; William L Murphy; Sean P Palecek; Christian M Capitini; Krishanu Saha
Journal:  Biotechnol J       Date:  2017-09-18       Impact factor: 4.677

2.  The Kalman Filter for the Supervision of Cultivation Processes.

Authors:  Abdolrahim Yousefi-Darani; Olivier Paquet-Durand; Bernd Hitzmann
Journal:  Adv Biochem Eng Biotechnol       Date:  2021       Impact factor: 2.635

3.  Real-time estimation of biomass and specific growth rate in physiologically variable recombinant fed-batch processes.

Authors:  Patrick Wechselberger; Patrick Sagmeister; Christoph Herwig
Journal:  Bioprocess Biosyst Eng       Date:  2012-11-23       Impact factor: 3.210

4.  A soft sensor for bioprocess control based on sequential filtering of metabolic heat signals.

Authors:  Dan Paulsson; Robert Gustavsson; Carl-Fredrik Mandenius
Journal:  Sensors (Basel)       Date:  2014-09-26       Impact factor: 3.576

Review 5.  Tunable recombinant protein expression in E. coli: enabler for continuous processing?

Authors:  Lukas Marschall; Patrick Sagmeister; Christoph Herwig
Journal:  Appl Microbiol Biotechnol       Date:  2016-05-12       Impact factor: 4.813

Review 6.  Raman spectroscopy as a process analytical technology for pharmaceutical manufacturing and bioprocessing.

Authors:  Karen A Esmonde-White; Maryann Cuellar; Carsten Uerpmann; Bruno Lenain; Ian R Lewis
Journal:  Anal Bioanal Chem       Date:  2016-08-04       Impact factor: 4.142

7.  Estimating Extrinsic Dyes for Fluorometric Online Monitoring of Antibody Aggregation in CHO Fed-Batch Cultivations.

Authors:  Karen Schwab; Friedemann Hesse
Journal:  Bioengineering (Basel)       Date:  2017-07-24

8.  Fed-Batch Production of Bacterial Ghosts Using Dielectric Spectroscopy for Dynamic Process Control.

Authors:  Andrea Meitz; Patrick Sagmeister; Werner Lubitz; Christoph Herwig; Timo Langemann
Journal:  Microorganisms       Date:  2016-03-24

9.  Propagation of measurement accuracy to biomass soft-sensor estimation and control quality.

Authors:  Valentin Steinwandter; Thomas Zahel; Patrick Sagmeister; Christoph Herwig
Journal:  Anal Bioanal Chem       Date:  2016-07-04       Impact factor: 4.142

10.  Process Analytical Technology for Advanced Process Control in Biologics Manufacturing with the Aid of Macroscopic Kinetic Modeling.

Authors:  Martin Kornecki; Jochen Strube
Journal:  Bioengineering (Basel)       Date:  2018-03-16
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