Physiological state-specific models in estimation of recombinant Escherichia coli fermentation performance.
Implementation of advanced control strategies in bioprocesses is often hindered by the lack of on-line measurements reflecting the physiological state of the culture. Although a number of techniques have been used to estimate key variables from data monitored on-line, these often do not explicitly take into account changes in physiological state and information on many aspects of physiological state that may not be present in on-line data. Here we demonstrate that data obtained from chemical fingerprinting methods, such as pyrolysis mass spectrometry, can be used to identify changes in the physiological state during cultivation. This information can be utilized for the estimation of the physiological state and can enable physiological state-specific-model development for on-line bioprocess control.
Feng
M
M
Department of Chemical and Process Engineering, University of Newcastle upon Tyne, Newcastle Upon Tyne NE1 7RU, United Kingdom.
Glassey
J
J
D001709:Biotechnology / Q000379:methods*; D018834:Chaperonin 60 / Q000096:biosynthesis; D004926:Escherichia coli / Q000378:metabolism*; D005285:Fermentation; D013058:Mass Spectrometry; D008828:Microbiological Techniques; D008954:Models, Biological; D016571:Neural Networks, Computer; D011994:Recombinant Proteins / Q000096:biosynthesis
D018834:Chaperonin 60; D011994:Recombinant Proteins