title: Assessment of the performance of a fed-batch cultivation from the preculture quality using an electronic nose.
abstract: An electronic nose, a gas-phase multisensor system, was used to monitor precultivations of a recombinant tryptophan-producing Escherichia coli strain. The electronic nose signals showed a high correlation toward the main stages of the precultivations, namely, exponential growth, oxygen-limited growth, and glucose depletion. Principal component analysis (PCA) of the electronic nose signals was performed and shown to be useful for monitoring preculture progression. More importantly, PCA also allowed a qualitative assessment of the preculture performance during subsequent fed-batch cultivations. The electronic nose signals from the precultures showed, furthermore, a high correlation to the time of phosphate limitation and the tryptophan yield coefficient of the subsequent fed-batch cultivations, which allowed an accurate prediction of these process variables using partial least squares (PLS). The results demonstrate on data from 12 cultivations how the electronic nose can be a useful tool for the assessment of inoculum quality, thereby providing means of reducing batch-to-batch variation and increasing the productivity of bioprocesses.
authors.affiliation: Division of Biotechnology, Department of Physics and Measurement Technology, Linköping University, 58183, Sweden.
authors.forename: Christian
authors.initials: C
authors.lastname: Cimander
authors.forename: Thomas
authors.initials: T
authors.lastname: Bachinger
authors.forename: Carl-Fredrik
authors.initials: CF
authors.lastname: Mandenius
mesh_terms: D001187:Artificial Organs; D019149:Bioreactors; D015374:Biosensing Techniques / Q000295:instrumentation* / Q000379:methods*; D002138:Calibration; D018929:Cell Culture Techniques / Q000379:methods; D004926:Escherichia coli / Q000235:genetics / Q000254:growth & development / Q000378:metabolism*; D005103:Expert Systems; D005740:Gases / Q000032:analysis*; D005947:Glucose / Q000032:analysis / Q000378:metabolism*; D016018:Least-Squares Analysis; D010101:Oxygen Consumption; D010363:Pattern Recognition, Automated; D012666:Semiconductors; D012680:Sensitivity and Specificity; D012903:Smell; D014364:Tryptophan / Q000032:analysis / Q000096:biosynthesis
chemical_list: D005740:Gases; D014364:Tryptophan; D005947:Glucose