Literature DB >> 12890610

Integration of distributed multi-analyzer monitoring and control in bioprocessing based on a real-time expert system.

Christian Cimander1, Thomas Bachinger, Carl-Fredrik Mandenius.   

Abstract

A computer system solution for integration of a distributed bioreactor monitoring and control instrumentation on the laboratory scale is described. Bioreactors equipped with on-line analyzers for mass spectrometry, near-infrared spectroscopy, electrochemical probes and multi-array gas sensors and their respective software were networked through a real-time expert systems platform. The system allowed data transmission of more than 1800 different signals from the instrumentation, including signals from gas sensors, electrodes, spectrometer detectors, balances, flowmeters, etc., and were used for processing and carrying out a number of computational tasks such as partial least-square regression, principal component analysis, artificial neural network modelling, heuristic decision-making and adaptive control. The system was demonstrated on different cultivations/fermentations which illustrated sensor fusion control, multivariate statistical process monitoring, adaptive glucose control and adaptive multivariate control. The performance of these examples showed high operational stability and reliable function and meet typical requirements for production safety and quality.

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Year:  2003        PMID: 12890610     DOI: 10.1016/s0168-1656(03)00121-4

Source DB:  PubMed          Journal:  J Biotechnol        ISSN: 0168-1656            Impact factor:   3.307


  1 in total

1.  Forecasting model for the incidence of hepatitis A based on artificial neural network.

Authors:  Peng Guan; De-Sheng Huang; Bao-Sen Zhou
Journal:  World J Gastroenterol       Date:  2004-12-15       Impact factor: 5.742

  1 in total

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