Prediction of the rejection of organic compounds (neutral and ionic) by nanofiltration and reverse osmosis membranes using neural networks

2015 ◽  
Vol 32 (11) ◽  
pp. 2300-2310 ◽  
Author(s):  
Yamina Ammi ◽  
Latifa Khaouane ◽  
Salah Hanini
Keyword(s):  
Neural Networks ◽  
Reverse Osmosis ◽  
Organic Compounds ◽  
Reverse Osmosis Membranes

scholarly journals Ozonation of nanofiltration permeate of whey before processing by reverse osmosis

2017 ◽  
pp. 315-323 ◽  
Author(s):  
Yurii Zmievskii ◽  
Volodymyr Zaharov ◽  
Olexandra Rudenko ◽  
Iryna Biletskaya ◽  
Valeriy Myronchuk
Keyword(s):  
Activated Carbon ◽  
Reverse Osmosis ◽  
Organic Compounds ◽  
Experimental Studies ◽  
Specific Productivity ◽  
Sorption Purification ◽  
Mineral Substances ◽  
Inorganic Components ◽  
Degree Of Sorption ◽  
Reverse Osmosis Membranes

During nanofiltration processing of whey a significant amount of permeate is generated. In some cases this permeate is treated by reverse osmosis to get purified water for technological needs. Dry substances are not used, because they contain practically the same amount of organic and inorganic components. Mineral substances can be used for the mineralization of drinking water purified by reverse osmosis. However, the presence of organic compounds complicates the process of separation, as well as reduces the specific productivity of reverse osmosis membranes at the concentration stage. Therefore, the search for methods of destruction and removal of organic components is grounded. In the presented work, experimental studies of ozonation and sorption of organic compounds by activated carbon were carried. It has been shown that ozonation improves the degree of sorption purification by six times. Sequential treatment with ozone and subsequent filtration through the layer of activated carbon improves the specific productivity of reverse osmosis membranes by 30% at the stage of treatment of the nanofiltration permeate, while their selectivity remains unchanged.

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