Kovács, ZoltánRomán, AndrásVatai, GyulaIttzés, AndrásGrachten, MaartenCzermak, Peter2014-05-082014-05-082011http://hdl.handle.net/2097/17706This paper was presented as Session Lecture at International Conference JOINT EVENTS: 2nd CEFSER (Center of Excellence for Food Safety and Emerging Risks) Workshop "Persistent organic pollutants in food and environment", 26th Symposium on Recent Developments in Dairy Technology and BIOXEN seminar "Novel approaches for environmental protection" at University of Novi Sad, Faculty of Technology, 8-10 September 2011.UDK: 637.344:628.165Whey is the by-product obtained when milk is transformed into cheese or casein. It is generated in large quantities world-wide: the annual volume of dairy whey pro-duced globally exceeds 160 millions. Na-nofiltration provides a demineralization per-formance that makes whey a suitable addi-tive in human food formulas. This paper present robust and reliable simulation me-thods to predict the dynamics of batch membrane filtration processes dealing with multi-component systems such as whey. Experimental data was collected from lab nanofiltration investigations using sweet and acid whey. Our special interest is to employ data-driven models that minimize the necessary a-priori experiments and allow the conversion of raw data into useful information. We have integrated statistical tools and machine learning techniques in the proposed mathematical framework. We show that such techniques are capable to model multi-component systems where li-mited information on their true chemical composition is available.en-USPermission to archive granted by FoT NS, April 9, 2014.This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).https://rightsstatements.org/page/InC/1.0/DesalinationDiafiltrationNanofiltrationSimulationWheyArticle (publisher version)