Abstract
Developing a facile and efficient model for the prediction and optimization of diafiltration processes is desired in the separation and purification of functional oligosaccharides. Herein, a data-driven model was proposed to describe the intermittent feed diafiltration process. To evaluate this model, oligodextran was applied as a representative oligosaccharide, and a nanoporous ZrO2 ceramic membrane was employed to narrow the molecular weight distribution of oligodextran. The role of concentration polarization effect in affecting the flux and solute rejection was well considered in the modeling of the diafiltration process. The permeation flux and yields predicted by this model agreed well with the experimental data. More importantly, the maximum productivity could be determined by this model, which takes the diluent consumption and the operation time into account, simultaneously, in optimizing of the diafiltration process. The proposed diafiltration model performs a good potential to be a candidate in the auxiliary design for the separation and purification processes of functional oligosaccharides.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: 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.