首页|Studies from Indian Council of Agricultural Research (ICAR) National Dairy Research Institute Add New Findings in the Area of Artificial Neural Networks (Optimization of Process Parameters for the Production of Soy Protein by Ultrafiltration …)
Studies from Indian Council of Agricultural Research (ICAR) National Dairy Research Institute Add New Findings in the Area of Artificial Neural Networks (Optimization of Process Parameters for the Production of Soy Protein by Ultrafiltration …)
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By a News Reporter-Staff News Editor at Network Daily News - Investigatorspublish new report on artificial neural networks. According to news reporting out of Haryana, India, byNewsRx editors, research stated, “The growing popularity of soy proteins among vegans and vegetarians,owing to their high protein content and widespread availability, has led to scientific studies on its variousextraction methods mainly on ultrafiltration.”The news correspondents obtained a quote from the research from Indian Council of AgriculturalResearch (ICAR) National Dairy Research Institute: “This research employed artificial neural network(ANN) and Box-Behnken design (BBD) methodologies to predict the process parameters of ultrafiltrationfor the preparation of soy protein. Using BBD, the optimum process parameters of ultrafiltration wereidentified via the desirability function approach. The optimized permeate flux was 11.13 litres per hour(LPH) and 85.52% protein content in retentate. The identified ideal process parameters for ultrafiltrationto achieve maximal protein retention encompassed a 10 kDa membrane module, a transmembrane pressureof 117 kPa (17 PSI), a volume concentration ratio of 3.5, diafiltration set at 1, and a flow rate of 65%of the pump capacity, exhibiting an absolute percent error value of 2.81. Employing these refined processparameters, the predicted value for protein retentate stood at 80.49%.”
Indian Council of Agricultural Research (ICAR) National Dairy Research InstituteHaryanaIndiaAsiaArtificial Neural Networks