Mülheim (Ruhr), Germany
Mülheim (Ruhr), Germany

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Yang Q.,University of Duisburg - Essen | Strathmann M.,IWW Zentrum Wasser | Rumpf A.,IWW Zentrum Wasser | Schaule G.,IWW Zentrum Wasser | Ulbricht M.,University of Duisburg - Essen
ACS Applied Materials and Interfaces | Year: 2010

A sugar-containing monomer (2-lactobionamidoethyl methacrylate, LAMA) was grafted on a polypropylene (PP) microfiltration membrane surface by UV-induced graft copolymerization. The degree of grafting can be controlled by variation of monomer concentration, UV irradiation time, and photoinitiator concentration. Fourier transform infrared spectroscopy and scanning electron microscopy were employed to confirm the surface modification on the membranes. The water contact angle was used to evaluate the hydrophilicity change of the membrane surface before and after modification. Bacteria capture experiments showed that the membrane could selectively bind E. faecalis while adhesion of S. maltophilia was not influenced by the functionalization of PP with grafted poly(LAMA). The adhesion of E. faecalis onto poly(LAMA) grafted membrane could be inhibited by 200 mM galactose solution; however, glucose solution showed no inhibition effect. Moreover, occupying sugar residues on the membrane surface primarily by a galactose targeting lectin, peanut agglutinin, could significantly suppress the following adhesion of E. faecalis. All these results clearly demonstrate that this poly(LAMA) grafted PP membrane can selectively capture E. faecalis and that this selection is based on the interaction between galactose side groups on grafted flexible functional polymer chains on the membrane surface and galactose binding protein on the E. faecalis cell membrane. © 2010 American Chemical Society.

Strugholtz S.,Aquatune Dr. Gebhardt and Co. GmbH | Strugholtz S.,University of Duisburg - Essen | Malzer H.-J.,Aquatune Dr. Gebhardt and Co. GmbH | Gimbel R.,IWW Zentrum Wasser | And 2 more authors.
GWF, Wasser - Abwasser | Year: 2010

In a project funded by RWE Energy AG und RWE Aqua GmbH the application of artificial neural networks (ANN) in online systems for operation and cost optimization of flocculation processes could be demonstrated. Based on an ANN that allowed prediction of the turbidity after sedimentation with an accuracy of 0.1 FNU an optimization system was developed. Hereby, process costs of the considered flocculation, sedimentation and filtration step can be reduced while set points and limit values are reliably observed. Selection of parameters, training of the ANN and process optimization can be applied to other comparable drinking water treatment plants.

Panglisch S.,IWW Zentrum Wasser | Tatzel A.,IWW Zentrum Wasser | Kraus G.,Syndicat des Eaux du Barrage dEsch sur Sure SEBES | Kolber I.,Syndicat des Eaux du Barrage dEsch sur Sure SEBES | And 2 more authors.
GWF, Wasser - Abwasser | Year: 2011

Pilot investigations for the modernization of a reservoir water treatment have shown that with ceramic membranes extraordinary performance can be achieved. Very high recovery and flux could be attained with only small chemical consumption. Provided that ceramic membranes have double the lifetime compared to polymeric membranes these high performance characteristics could thoroughly balance the higher specific costs of ceramic membranes.

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