Journal of Membrane Science 349 (2010) 225–230
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Journal of Membrane Science
journal homepage: www.elsevier.com/locate/memsci
The use of factorial design for modeling membrane distillation
Pelin Onsekizoglu
a,∗
, K. Savas Bahceci
b
, Jale Acar
a
a
Department of Food Engineering, Hacettepe University, 06532 Beytepe, Ankara, Turkey
b
Department of Food Engineering, Hitit University, Corum, Turkey
article info
Article history:
Received 27 August 2009
Received in revised form 26 October 2009
Accepted 22 November 2009
Available online 27 November 2009
Keywords:
Osmotic distillation
Membrane distillation
Factorial design
Osmotic agent
Temperature
abstract
A two-level factorial experimental design was used to investigate the influence of the main operating
parameters on evaporation flux and soluble solid content of apple juice during concentration through
osmotic distillation (OD) and membrane distillation (MD) processes. The factorial models have been
obtained from experimental design to study all interactions among the considered parameters (osmotic
agent concentration (0–65% CaCl
2
), flow rate (10–30 L/h) and temperature difference between feed and
osmotic agent (10–30
◦
C)) and validated statistically by analysis of variance (ANOVA). For both responses,
the osmotic agent concentration was the most influential factor. The magnitude of the main influence of
CaCl
2
concentration was followed by the temperature difference and flow rate, respectively. The anal-
ysis of the experimental responses revealed that CaCl
2
concentration and temperature difference had
significant interactive effects on evaporation flux. All interactions between the studied parameters were
significant in the case of soluble solid content at the 99% confidence level. Although the interaction terms
have significant effects, their levels were only a small amount compared to linear effects. The predicted
responses were compared with the experimental ones. In general, the predicted values were in reason-
able agreement with the experimental data, further confirming the very good prediction ability of the
models.
© 2009 Elsevier B.V. All rights reserved.
1. Introduction
Fruit juices are beverages of high nutritional value since they
contain high levels of minerals, vitamins and other beneficial
components for human health. In order to obtain chemical and
microbiological stability as well as reducing the transport, pack-
aging and storage costs, fruit juices are generally concentrated.
During the concentration process, the water should be removed
selectively in order to obtain a product with an appearance and
taste as close as possible to the original juice. However, multi-stage
vacuum evaporation processes are generally used for concentra-
tion, resulting significant loss of aroma compounds, irreversible
alteration of nutritional value and color changes due to high oper-
ation temperatures [1]. One of the solutions to this problem is
the use of alternative processes that avoid high temperatures of
operation, such as the membrane processes. Membrane distillation
(MD) and osmotic distillation (OD) are well known methodolo-
gies having great potential as concentration processes carried out
at atmospheric pressure and temperatures near the ambient tem-
perature [2–4]. Both operations involve microporous hydrophobic
membranes that are in contact with fruit juices at different tem-
∗
Corresponding author. Tel.: +90 312 297 71 20; fax: +90 312 297 21 23.
E-mail address: pelins@hacettepe.edu.tr (P. Onsekizoglu).
peratures and/or compositions. In both processes, a microporous
hydrophobic membrane is in contact with feed solution on one
side. The driving force for the water transport through the gas phase
immobilized within the pores is a water vapor pressure difference
related with the water activity differences between the juice and
an osmotic agent, in the case of the OD process, or by a temperature
difference for the MD process [5,6].
Response surface methodology (RSM), a collection of statisti-
cal and mathematical techniques, is a useful tool for development,
improvement, and optimization of processes. It is used to exam-
ine the relationship between one or more response variables and a
set of quantitative experimental variables or factors. Meanwhile,
use of RSM has gained prominence in food process design and
optimization owing to the ease of operation, reliability and repro-
ducibility of the model parameters. Nowadays, factorial designs
have proved their usefulness, and are widely used in the statis-
tical planning of experiments to obtain empirical models relating
process response to process factors. Khayet et al. [7] studied RSM
in direct contact membrane distillation using salt (NaCl) aqueous
solutions and investigated the operating factors, namely, the stir-
ring rate, feed temperature, and solute concentration. However, the
effects of main process parameters involved in OD and MD dur-
ing concentration of fruit juices need to be carried out in detail.
The objective of this work is to evaluate the effects of temperature
difference between the feed and permeate side of the membrane,
concentration of the osmotic agent (CaCl
2
solution) and flow rate
0376-7388/$ – see front matter © 2009 Elsevier B.V. All rights reserved.
doi:10.1016/j.memsci.2009.11.049