The influence of membrane properties on the Silt Density Index

Abstract The Silt Density Index (SDI) is commonly applied as a measure for the fouling potential of particles in RO and NF feed waters. The accuracy and reproducibility of the SDI test is increasingly questioned. In this work, the influence of membrane properties on the SDI value is investigated. Eight commercial ‘0.45 μm’ membrane types made of different materials (PVDF, PTFE, acrylic copolymer, nitro cellulose, cellulose acetate, nylon 6,6, and polycarbonate) were used to measure the SDI. Three samples were randomly chosen from each membrane type (same lot), and several membrane properties were studied (pore size distribution, pore shape, surface and bulk porosity, thickness, surface charge, contact angle and surface roughness). SDI values for an artificial feed, composed of a solution of α – alumina particles of 0.6 μm diameter, were determined. The characterization of these membranes shows variation between the membranes used in this study (M1–M8), and within a batch of one membrane type. Substantial differences were found in the SDI values for the different types of membrane filters used. Pore size, porosity and thickness are the most important membrane properties and determine the membrane resistance. Using a membrane with high a membrane resistance results in a low SDI value. The variations in measured SDI values between batches and within a batch are large and explain, at least partly, the problems encountered in practice with unacceptable variations in SDI values. These observed differences make the test unreliable. The variations are attributed to differences in properties of the membranes used. In order to make the SDI a reliable fouling index, there is a very strong need for membrane filters with uniform and constant properties.

[1]  J. C. Schippers,et al.  Predicting flux decline of reverse osmosis membranes , 1981 .

[2]  Rolf Nagel Seawater desalination with polyamide hollow fibre modules at DROP , 1987 .

[3]  Matthias Wessling,et al.  Effect of testing conditions and filtration mechanisms on SDI , 2011 .

[4]  N.R.G. Walton Some observations on the considerable variability of silt density index results due to equipment, filter and operator variables , 1987 .

[5]  Menachem Elimelech,et al.  Measuring the zeta (electrokinetic) potential of reverse osmosis membranes by a streaming potential analyzer , 1994 .

[6]  K. Tung,et al.  Effect of membrane pore size on the particle fouling in membrane filtration , 2008 .

[7]  B. Girard,et al.  Influence of membrane structure on fouling layer morphology during apple juice clarification , 1998 .

[8]  P. Moulin,et al.  Membrane characterization by microscopic methods: Multiscale structure , 2008 .

[9]  M. D. Pinho,et al.  Membrane surface characterisation by contact angle measurements using the immersed method , 1997 .

[10]  A. Zydney,et al.  Effects of membrane pore geometry on fouling behavior during yeast cell microfiltration , 2006 .

[11]  Menachem Elimelech,et al.  Combined influence of natural organic matter (NOM) and colloidal particles on nanofiltration membrane fouling , 2005 .

[12]  A. Pihlajamäki,et al.  Characterization of ultrafiltration membranes by simultaneous streaming potential and flux measurements , 1994 .

[13]  Veronique Bonnelye,et al.  The sensitivity of SDI analysis: from RO feed water to raw water , 2008 .

[14]  T. Chartier,et al.  Dispersion of alpha-alumina ultrafine powders using 2-phosphonobutane-1,2,4-tricarboxylic acid for the implementation of a DCC process , 2005 .

[15]  T. Matsuura,et al.  Synthetic Polymeric Membranes , 2009 .

[16]  Gilbert Galjaard,et al.  Monitoring particulate fouling in membrane systems , 1998 .

[17]  Ahmed S. Al-Amoudi,et al.  Factors affecting natural organic matter (NOM) and scaling fouling in NF membranes: A review , 2010 .

[18]  Bo Zhang,et al.  High-concentration food wastewater treatment by an anaerobic membrane bioreactor. , 2005, Water research.

[19]  Matthias Kraume,et al.  Membrane fouling - a review on the role of EPS , 2006 .

[20]  M. Jekel,et al.  Zeta-potential and rejection rates of a polyethersulfone nanofiltration membrane in single salt solutions , 2000 .

[21]  Menachem Elimelech,et al.  Influence of membrane surface properties on initial rate of colloidal fouling of reverse osmosis and nanofiltration membranes , 2001 .

[22]  Amy E. Childress,et al.  Role of membrane surface morphology in colloidal fouling of cellulose acetate and composite aromatic polyamide reverse osmosis membranes , 1997 .

[23]  Marcel Mulder,et al.  Basic Principles of Membrane Technology , 1991 .

[24]  M. Guiver,et al.  Tangential flow streaming potential measurements : Hydrodynamic cell characterization and zeta potentials of carboxylated polysulfone membranes , 1998 .

[25]  W. Zhang,et al.  Membrane characterization using the contact angle technique I. methodology of the captive bubble technique , 1990 .

[26]  J. C. Schippers,et al.  The modified fouling index, a method of determining the fouling characteristics of water , 1980 .

[27]  R. Ziel,et al.  Quantification of the pore size distribution (porosity profiles) in microfiltration membranes by SEM, TEM and computer image analysis , 2008 .

[28]  C. Vandecasteele,et al.  Characterization of commercial nanofiltration membranes and comparison with self-made polyethersulfone membranes , 2006 .

[29]  S. G. Yiantsios,et al.  An assessment of the Silt Density Index based on RO membrane colloidal fouling experiments with iron oxide particles , 2003 .

[30]  P.A.C. Bonné,et al.  Prediction of flux decline in membrane systems due to particulate fouling , 1997 .

[31]  A. Jönsson,et al.  Influence of the membrane material on the adsorptive fouling of ultrafiltration membranes , 1995 .

[32]  Menachem Elimelech,et al.  Synergistic effects in combined fouling of a loose nanofiltration membrane by colloidal materials and natural organic matter , 2006 .

[33]  Gurdev Singh,et al.  Experimental correlations of pH and ionic strength effects on the colloidal fouling potential of silica nanoparticles in crossflow ultrafiltration , 2007 .