in this study, we investigated the effects of osmotic process with or without ultrasound on solid gain (sg) and water loss (wl) of cranberries. response surface methodology was used to model and determine the optimum processing conditions for wl and sg during osmotic dehydration of samples. sucrose (40-60%) and salt (0-8%) concentrations, temperature (30-50°c) and frequency of ultrasound (0-130...

esterification of chitosan with adipic acid catalyzed by immobilized candida antarctica lipase b was carried out in this study. response surface methodology (rsm) based on a four-factor- five-level small central composite design (sccd) was employed to model and analyze the reaction. a total of 21 experiments representing different combinations of the four reaction parameters including ch...

introduction: advanced oxidation processes (aops) suggest a highly reactive, nonspecific oxidant namely hydroxyl radical (oh•), that oxidize a wide range of pollutants fast and non-selective in wastewater and water. materials and methods: in this work, the nitrogen-doped titanium dioxide nanoparticles were primed by sol-gel method, characterized by x-ray diffraction and scanning electron micros...

this paper was aimed to address the modeling of effective thermal conductivity and viscosity of carbon structured nanofluids. response surface methodology, d_optimal design (dod) was employed to assess the main and interactive effects of temperature (t) and weight percentage (wt %) to model effective thermal conductivity and viscosity of multi wall and single wall carbon nanotube, cvd and rgo g...

there have been many productive methods developed so far for optimization of multiple response surface (mrs) problems. this paper tends to review the most seminal approaches in mrs and discuss the strength and weakness of each of the approaches through existing aspects in mrs. a numerical example is included to compare results by different methods. finally some of the prominent areas for future...

Application of Response Surface Methodology for Modeling the Color Strength of Natural Hair Colorant

In response surface models the expected response is usually taken to be a low degree polynomial in the design variables that are coded from the factor settings. We argue that an overparameterized polynomial representation of the expected response ooers great economy and transparency. As an illustration, we exhibit a constructive path of design improvement relative to the Kiefer design ordering,...

in this study, modeling and optimization of coagulation and flocculation processes in cod removal of galvanized wastewater treatment plant of mobarakeh steel complex (msc) were studied. experiments of this study were designed using response surface method which is one of the most efficient methods in experimental design. the variables assessed in this study, are four factors including ph, input...