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dc.contributor.advisorSzekely, Gyorgy
dc.contributor.authorBeke, Aron K.
dc.date.accessioned2022-11-16T13:06:43Z
dc.date.available2022-11-16T13:06:43Z
dc.date.issued2022-10
dc.identifier.citationBeke, A. K. (2022). Enantioselective nanofiltration using predictive process modeling: bridging the gap between materials development and process requirements [KAUST Research Repository]. https://doi.org/10.25781/KAUST-GRO28
dc.identifier.doi10.25781/KAUST-GRO28
dc.identifier.urihttp://hdl.handle.net/10754/685782
dc.description.abstractOrganic solvent nanofiltration (OSN) is a low-energy alternative for continuous separations in the chemical industry. As the pharmaceutical sector increasingly turns toward continuous manufacturing, OSN could become a sustainable solution for chiral separations. Here we present the first comprehensive theoretical assessment of enantioselective OSN processes. Lumped dynamic models were developed for various system configurations, including structurally diverse nanofiltration cascades and single-stage separations with side-stream recycling and in situ racemization. Enantiomer excess and recovery characteristics of the different processes were assessed in terms of the solute rejection values of the enantiomer pairs. The general feasibility of stereochemical resolution using OSN processes is discussed in detail. Fundamental connections between rejection selectivity, permeance selectivity, and enantiomer excess limitations are revealed. Quantitative process performance examples are presented based on theoretical rejection scenarios and cases from the literature on chiral membranes. A model-based prediction tool can be found on www.osndatabase.com to aid researchers in connecting materials development results with early-stage process performance assessments.
dc.language.isoen
dc.subjectChirality
dc.subjectDynamic modeling
dc.subjectRecycling
dc.subjectEnantiomer
dc.subjectOrganic solvent nanofiltration
dc.titleEnantioselective nanofiltration using predictive process modeling: bridging the gap between materials development and process requirements
dc.typeThesis
dc.contributor.departmentPhysical Science and Engineering (PSE) Division
dc.rights.embargodate2023-11-16
thesis.degree.grantorKing Abdullah University of Science and Technology
dc.contributor.committeememberGrande, Carlos A.
dc.contributor.committeememberNunes, Suzana Pereira
thesis.degree.disciplineChemical Engineering
thesis.degree.nameMaster of Science
dc.identifier.orcid0000-0001-6734-0358
dc.rights.accessrightsAt the time of archiving, the student author of this thesis opted to temporarily restrict access to it. The full text of this thesis will become available to the public after the expiration of the embargo on 2023-11-16.
refterms.dateFOA2022-11-16T13:06:44Z
kaust.request.doiyes
kaust.gpclinda.sapolu@kaust.edu.sa
kaust.availability.selectionEmbargo the work for one year and then release for public access* on the internet through the KAUST Repository.
kaust.thesis.readyToSubmitYes, I confirm that I am ready to upload the following 3 documents (in PDF format): 1) Final thesis or dissertation. 2) Completed Defense Results form showing “pass” or “pass with conditions”. 3) Final Advisor Approval confirmation email (received after advisor completed the digital form).


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