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A Multivariate Statistical Analyses of Membrane Performance in the Clarification of Citrus Press Liquor

1
Programa Institucional de Fomento a la Investigación, Desarrollo e Innovación, Universidad Tecnológica Metropolitana, Ignacio Valdivieso 2409 P.O. Box 8940577 San Joaquín, Santiago, Chile
2
Department of Chemistry, University of Calabria, via P. Bucci, 12/C, I-87030 Rende (CS), Italy
3
Institute on Membrane Technology, ITM-CNR, c/o University of Calabria, via P. Bucci, 17/C, I-87030 Rende (CS), Italy
*
Author to whom correspondence should be addressed.
ChemEngineering 2019, 3(1), 10; https://doi.org/10.3390/chemengineering3010010
Received: 19 October 2018 / Revised: 6 December 2018 / Accepted: 10 January 2019 / Published: 17 January 2019
(This article belongs to the Special Issue Membrane and Membrane Reactors Operations in Chemical Engineering)
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Abstract

The orange press liquor is a by-product of the orange juice production containing bioactive compounds recognized for their beneficial implications in human health. The recovery of these compounds offers new opportunities for the formulation of products of interest in food, pharmaceutical and cosmetic industry. The clarification of orange press liquor by microfiltration (MF) and/or ultrafiltration (UF) processes is a valid approach to remove macromolecules, colloidal particles, and suspended solids from sugars and bioactive compounds. In this work the clarification of orange press liquor was studied by using three flat-sheet polymeric membranes: a MF membrane with a pore size of 0.2 μm and two UF membranes with nominal molecular weight cut-off (MWCO) of 150 and 200 kDa, respectively. The membrane performance, in terms of permeate flux and membrane rejection towards hesperidin and sugars, was studied according to a multivariate analyses approach. In particular, characteristics influencing the performance of the investigated membranes, such as molecular weight cut-off (MWCO), contact angle, membrane thickness, pore size distribution, as well as operating conditions, including temperature, and operating time, were analysed through the partial least square regression (PLSR). The multivariate method revealed crucial information on variables which are relevant to maximize the permeate flux and to minimize the rejection of hesperidin and sugars in the clarification of orange press liquor. View Full-Text
Keywords: microfiltration (MF); ultrafiltration (UF); orange press liquor; clarification; multivariate analysis microfiltration (MF); ultrafiltration (UF); orange press liquor; clarification; multivariate analysis
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Ruby-Figueroa, R.; Nardi, M.; Sindona, G.; Conidi, C.; Cassano, A. A Multivariate Statistical Analyses of Membrane Performance in the Clarification of Citrus Press Liquor. ChemEngineering 2019, 3, 10.

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