Abstract
Poly-β-hydroxybutyrate (PHB) is a biodegradable polymer with properties that make it suitable for many applications for which petroleum-based synthetic polymers are currently used. However, low productivities have hindered the commercial success of microbial PHB. In this study, two neural networks have been employed to enhance PHB production by Ralstonia eutropha in fed-batch fermentations under simulated industrial conditions. One network filtered the noise in the two feed streams and the other controlled their flow rates at the optimum dispersion. This arrangement more than doubled the volumetric PHB concentration relative to an ideal fermentation. Significantly, this improvement was achieved with finite dispersion and optimally filtered noise rather than no noise. These observations show that neural filtering and control offer a viable method to enhance PHB formation in industrial situations.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
