Statistical assessment of starch removal from starchy wastewater using membrane technology

Javad Sargolzaei; Amin Hedayati Moghaddam; Jalal Shayegan

Korean Journal of Chemical Engineering, Vol.28, No.9, 1889-1896, September, 2011

DOI10.1007/s11814-011-0050-4 Export Citation

Statistical assessment of starch removal from starchy wastewater using membrane technology

Javad Sargolzaei, Amin Hedayati Moghaddam^†, and Jalal Shayegan¹

Department of Chemical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran
¹Department of Chemical and Petroleum Engineering, Sharif University of Technology, Tehran, Iran

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The present work deals with application of 25-2 fractional factorial design (FFD) to evaluate the operating parameters on starch separation from synthetic starchy wastewater using a hydrophilic polyethersulfone membrane with 0.65 μm pore size in a plate and frame handmade membrane module. The analysis of variance (ANOVA) combined with F-test was also used to recognize non-significant terms. The performance of the filtration process was evaluated by calculating the COD removal percentage (rejection factor) and permeate flux. In this experiment, five input parameters were surveyed, including trans membrane pressure (TMP), flow and temperature of feed, pH and concentration of wastewater. In this experiment, real wastewater was not used but synthetic starchy wastewater was prepared using starch. Two models were obtained from experimental data, capable of predicting COD removal percentage and permeate flux in different conditions. The predicted values obtained from the regression models were close to the actual ones. For the reduction of fouling, cleaning in place (CIP) method was used.

Keywords:Starch;Removal;Membrane;COD;Permeate

[References]

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Cui JD, Korean J. Chem. Eng., 27(1), 174 (2010)
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[2] Colin X, Farinet JL, Rojas O, Alazard D, Bioresour. Technol., 98(8), 1602 (2007)

[3] Rajbhandari BK, Annachhatre AP, Bioresour. Technol., 95(2), 135 (2004)

[4] Movahedyan H, Assadi A, Parvaresh A, Iran J. Environ. Health Sci. Eng., 2, 77 (2007)

[5] Rajasimman M, Karthikeyan C, J. Hazard. Mater., 143(1-2), 82 (2007)

[6] Cancino B, Rossier F, Orellana C, Desalination, 200(1-3), 750 (2006)

[7] Sarka E, Pour V, Vesela A, Bubnik Z, Desalination, 249(1), 135 (2009)

[8] Mannan S, Fakhru’l-Razi A, Md Zahangir Alam, J. Environ. Sci., 19, 23 (2007)

[9] Ziabari M, Mottaghitalab V, Haghi AK, Korean J. Chem. Eng., 27(1), 340 (2010)

[10] Madaeni SS, Rahimi M, Abolhasani M, Korean J. Chem. Eng., 27(1), 206 (2010)

[11] Wakeman RJ, Williams CJ, Sep. Purif. Technol., 26(1), 3 (2002)

[12] Crowe RE, Ballinger DG, Manual of methods for chemical analysis of water and wastes, EPA, Cincinnati, Ohio (1976)

[13] MontGomery, Douglas C, Design and analysis of experiments, 5th Ed., Wiley, New York (2001)

[14] Cui JD, Korean J. Chem. Eng., 27(1), 174 (2010)

[15] Gheshlaghi R, Scharer JM, Moo-young M, Douglas PL, Anal. Biochem., 383, 93 (2008)

[16] Lin SH, Hung CL, Juang RS, Desalination, 234(1-3), 116 (2008)

[17] Xiarchos I, Jaworska A, Zakrzewska-Trznadel G, J. Membr. Sci., 321(2), 222 (2008)

[18] Singhal RS, Desai KM, Surveis SA, Saudagar PS,, Lele SS, Biochem. Eng. J., 41, 266 (2008)

[19] Idris A, Kormin F, Noordin MY, Sep. Purif. Technol., 49(3), 271 (2006)