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Detection of phase shifts in batch fermentation via statistical analysis of the online measurements: A case study with rifamycin B fermentation

Paper ID Volume ID Publish Year Pages File Format Full-Text
24944 43547 2007 11 PDF Available
Title
Detection of phase shifts in batch fermentation via statistical analysis of the online measurements: A case study with rifamycin B fermentation
Abstract

Industrial production of antibiotics, biopharmaceuticals and enzymes is typically carried out via a batch or fed-batch fermentation process. These processes go through various phases based on sequential substrate uptake, growth and product formation, which require monitoring due to the potential batch-to-batch variability. The phase shifts can be identified directly by measuring the concentrations of substrates and products or by morphological examinations under microscope. However, such measurements are cumbersome to obtain. We present a method to identify phase transitions in batch fermentation using readily available online measurements. Our approach is based on Dynamic Principal Component Analysis (DPCA), a multivariate statistical approach that can model the dynamics of non-stationary processes. Phase-transitions in fermentation produce distinct patterns in the DPCA scores, which can be identified as singular points. We illustrate the application of the method to detect transitions such as the onset of exponential growth phase, substrate exhaustion and substrate switching for rifamycin B fermentation batches. Further, we analyze the loading vectors of DPCA model to illustrate the mechanism by which the statistical model accounts for process dynamics. The approach can be readily applied to other industrially important processes and may have implications in online monitoring of fermentation batches in a production facility.

Keywords
Glc, glucose; DSF, defatted soybean flour; CSL, corn steep liquor; AMS, ammonium sulfate; DPCA, dynamic principal component analysis; SP, singular point; PC, principal component; PLS, partial least squareAmycolatopsis mediterranei; Complex medium; Multiva
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Detection of phase shifts in batch fermentation via statistical analysis of the online measurements: A case study with rifamycin B fermentation
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Publisher
Database: Elsevier - ScienceDirect
Journal: Journal of Biotechnology - Volume 132, Issue 2, 31 October 2007, Pages 156–166
Authors
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Subjects
Physical Sciences and Engineering Chemical Engineering Bioengineering
Get Full-Text Now
Don't Miss Today's Special Offer
Price was $35.95
You save - $31
Price after discount Only $4.95
100% Money Back Guarantee
Full-text PDF Download
Online Support
Any Questions? feel free to contact us