2019
DOI: 10.3390/membranes9110146
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Impact of Membrane Pore Size on the Clarification Performance of Grape Marc Extract by Microfiltration

Abstract: The influence of membrane pore size on the permeate flux, fouling mechanism, and rejection of soluble and suspended solids, as well as of phenolics and anthocyanins, in the clarification of grape marc extract by microfiltration (MF) was studied. MF was operated by using three monotubular ceramic membranes with a pore size of 0.14, 0.2, and 0.8 µm, respectively, according to a batch concentration configuration in selected operating conditions (2.25 bar as operating pressure, 4.93 L/min as feed flow rate, and 25… Show more

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Cited by 17 publications
(18 citation statements)
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References 42 publications
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“…These results offer vital evidence that the permeate quality is directly correlated to the membrane pore size. The similar relation between diameters of the MF membranes pore size and filtrate quality has been found in previous studies [ 79 , 85 ]. For instance, Mora et al [ 85 ] investigated the MF process of a grape marc extract characterized by the turbidity equal to 640.44 ± 380.32 NTU.…”
Section: Resultssupporting
confidence: 88%
See 1 more Smart Citation
“…These results offer vital evidence that the permeate quality is directly correlated to the membrane pore size. The similar relation between diameters of the MF membranes pore size and filtrate quality has been found in previous studies [ 79 , 85 ]. For instance, Mora et al [ 85 ] investigated the MF process of a grape marc extract characterized by the turbidity equal to 640.44 ± 380.32 NTU.…”
Section: Resultssupporting
confidence: 88%
“…The similar relation between diameters of the MF membranes pore size and filtrate quality has been found in previous studies [ 79 , 85 ]. For instance, Mora et al [ 85 ] investigated the MF process of a grape marc extract characterized by the turbidity equal to 640.44 ± 380.32 NTU. The authors have shown that the use of ceramic membranes with the pore sizes of 0.14 and 0.80 µm provided the permeate with 3.8 NTU and 4.8 NTU, respectively.…”
Section: Resultssupporting
confidence: 88%
“…On the contrary, the model developed by Yee et al [ 191 ] showed a good capacity for prediction (R 2 99.2%). It is particularly interesting that the ARIMA model and the one reported by Yee et al [ 191 ] have been validated for more than 10 h of operation with a great capacity of forecast [ 171 , 191 , 209 , 210 ]. Thus, both models appear to be adequate for the long-term prediction of permeate flux.…”
Section: Results and Discussion Of Selected Models’ Performancementioning
confidence: 99%
“…The information given by the suppliers is limited to the MWCO, which is defined as the molecular weight (MW) at which 90% of the solute is rejected by the membrane; however, there is no standardized procedure for this test, so there could be variability under different conditions [ 23 ]. Furthermore, rejection is affected by the molecular shape of the solute, the membrane–solute interaction, the configuration of the membrane, and the interaction between the solutes and the concentration polarization phenomenon, which can reduce the size of the pores and affect the separation [ 24 , 25 ].…”
Section: Introductionmentioning
confidence: 99%