Literature DB >> 22358517

Current good manufacturing practice in plant automation of biological production processes.

R C Dorresteijn1, G Wieten, P T van Santen, M C Philippi, C D de Gooijer, J Tramper, E C Beuvery.   

Abstract

The production of biologicals is subject to strict governmental regulations. These are drawn up in current good manufacturing practices (cGMP), a.o. by the U.S. Food and Drug Administration. To implement cGMP in a production facility, plant automation becomes an essential tool. For this purpose Manufacturing Execution Systems (MES) have been developed that control all operations inside a production facility. The introduction of these recipe-driven control systems that follow ISA S88 standards for batch processes has made it possible to implement cGMP regulations in the control strategy of biological production processes. Next to this, an MES offers additional features such as stock management, planning and routing tools, process-dependent control, implementation of software sensors and predictive models, application of historical data and on-line statistical techniques for trend analysis and detection of instrumentation failures. This paper focuses on the development of new production strategies in which cGMP guidelines are an essential part.

Entities:  

Year:  1997        PMID: 22358517      PMCID: PMC3449867          DOI: 10.1023/A:1007923820231

Source DB:  PubMed          Journal:  Cytotechnology        ISSN: 0920-9069            Impact factor:   2.058


  26 in total

Review 1.  On-line measurement in biotechnology: exploitation, objectives and benefits.

Authors:  G Locher; B Sonnleitner; A Fiechter
Journal:  J Biotechnol       Date:  1992-08       Impact factor: 3.307

2.  Automatic bioprocess control. 2. Implementations and practical experiences.

Authors:  G Locher; B Sonnleitner; A Fiechter
Journal:  J Biotechnol       Date:  1991-07       Impact factor: 3.307

Review 3.  The way to adequate control of microbial processes passes via real-time knowledge-based supervision.

Authors:  K B Konstantinov; T Yoshida
Journal:  J Biotechnol       Date:  1992-06       Impact factor: 3.307

4.  Fuzzy supervisory control of glutamic acid production.

Authors:  Y Kitsuta; M Kishimoto
Journal:  Biotechnol Bioeng       Date:  1994-06-05       Impact factor: 4.530

5.  Continuous, real-time monitoring of the oxygen uptake rate (OUR) in animal cell bioreactors.

Authors:  S J Yoon; K B Konstantinov
Journal:  Biotechnol Bioeng       Date:  1994-10       Impact factor: 4.530

6.  Linear constrain relations in biochemical reaction systems III. Sequential application of data reconciliation for sensitive detection of systematic errors.

Authors:  R T van der Heijden; B Romein; J J Heijnen; C Hellinga; K C Luyben
Journal:  Biotechnol Bioeng       Date:  1994-09-20       Impact factor: 4.530

7.  An algorithmic approach to constructing the on-line estimation system for the specific growth rate.

Authors:  H Shimizu; T Takamatsu; S Shioya; K Suga
Journal:  Biotechnol Bioeng       Date:  1989-01-15       Impact factor: 4.530

8.  A direct computer control concept for mammalian cell fermentation processes.

Authors:  H Büntemeyer; R Marzahl; J Lehmann
Journal:  Cytotechnology       Date:  1994       Impact factor: 2.058

9.  On-line gas analysis in animal cell cultivation: II. Methods for oxygen uptake rate estimation and its application to controlled feeding of glutamine.

Authors:  K Eyer; A Oeggerli; E Heinzle
Journal:  Biotechnol Bioeng       Date:  1995-01-05       Impact factor: 4.530

10.  On-line estimation of biological variables during pH controlled lactic acid fermentations.

Authors:  G Acuña; E Latrille; C Béal; G Corrieu; A Chéruy
Journal:  Biotechnol Bioeng       Date:  1994-11-20       Impact factor: 4.530

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