in some conditions, to avoid deterioration and field losses of soybean seeds (glycine max merr.) from weathering at end of the season, farmers start to harvest seeds with a high moisture content and so, careful post-harvest drying would be required to maintain the physiological quality of seeds. response surface methodology (rsm) was used to optimize the operating conditions of soybean seed dry...

objective(s): response surface methodology (rsm) by central composite design (ccd) was applied to statistically optimize the preparation of rutin-quercetin (ru-qr) dual drug loaded human hair keratin nanoparticles as well as evaluate the characteristics. materials and methods: the effects of three independent parameters, namely, temperature (x1:10-40 c), surfactant (x2: sds (1), sls (2), tween-...

inulin is widely used in functional foods throughout the world for its health-promoting and technological properties. helianthus tuberosus is cultivated widely in the northern part of iran. helianthus tuberosus can be a valuable source of inulin. to optimize conventional extraction of inulin, various combinations of time, temperature, and solvent: solid ratio, were used. in this research, a ser...

gelatin is a protein hydrocolloid. because of its unique characteristics such as gel forming, thickening, stabilizing, emulsifiing, foam and film forming, is widely used in food industries. in this research, in order to optimize the factors which affect enzymatic extraction method of gelatin ,the effects of three variables, enzyme concentrations(2-10 ppm), time(8-16 hours) and temperature(60-80...

The stochastic response surface method (SRSM) and the response surface method (RSM) are often used for structural reliability analysis, especially for reliability problems with implicit performance functions. This paper aims to compare these two methods in terms of fitting the performance function, accuracy and efficiency in estimating probability of failure as well as statistical moments of sy...

in design of experiments, analysis and identifying those variables that affect the outputs are of interest. response surface methodology is a mathematical-statistical method to optimize the experiment outputs. this method tries to find the best response levels by optimizing the design variables called factors. in many engineering applications, robust design has become the most important issues....