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Transport properties of oleuropein through nanofiltration membranes

Paper ID Volume ID Publish Year Pages File Format Full-Text
18926 43037 2015 12 PDF Available
Title
Transport properties of oleuropein through nanofiltration membranes
Abstract

•Oleuropein rejection and flux were predicted using membrane transport parameters.•Osmotic pressure was revealed as the main factor causing decline on NF flux.•A satisfactory approach was developed to predict the membrane performance.

The present work investigates the effect of feed concentration and magnitudes of applied pressure of olive-extracted oleuropein on permeate flux and membrane transport properties through concentration polarization in a nanofiltration (NF) membrane. The filtration of oleuropein model solution by an NF membrane using different feed concentrations (0.3, 0.9, or 2.7 kg m−3) enables the correlation of a transport model, comprised concentration polarization and osmotic pressure models, to membrane retention performance, evaluated using the Spiegler–Kedem model. Moreover, osmotic pressure was observed and interpreted using the van’t Hoff equation at different levels of feed concentration and applied pressure. Transport parameters (reflection coefficient, water and oleuropein permeability, and mass transfer coefficient) were correlated with experiment values by developing a mathematical model that reflects the flux decline by increasing osmotic pressure.

Graphical abstractSimulation of NF membrane performance using transport parameters (Robs, observed rejection of oleuropein and Rint, intrinsic rejection of oeluropein).Figure optionsDownload full-size imageDownload high-quality image (114 K)Download as PowerPoint slide

Keywords
Nanofiltration; Concentration polarization; Osmotic pressure; Oleuropein; Flux decline
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Publisher
Database: Elsevier - ScienceDirect
Journal: Food and Bioproducts Processing - Volume 94, April 2015, Pages 342–353
Authors
, , , , , ,
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