Data on modeling of enzymatic elimination of Direct Red 81 using Response Surface Methodology
نویسندگان
چکیده
منابع مشابه
preparation and characterization of new co-fe and fe-mn nano catalysts using resol phenolic resin and response surface methodology study for fischer-tropsch synthesis
کاتالیزورهای co-fe-resol/sio2و fe-mn-resol/sio2 با استفاده از روش ساده و ارزان قیمت همرسوبی تهیه شدند. از رزین پلیمری resol در فرآیند تهیه کاتالیزور استفاده شد.
Modeling and Optimization of Arsenic (III) Removal from Aqueous Solutions by GFO Using Response Surface Methodology
Arsenic is a highly toxic element for human beings, which is generally found in groundwater. Dissolved Arsenic in water can be seen as As+3 and As+5 states. The adsorption process is one of the available methods to remove Arsenic from aqueous solutions. Thus, this papers aims at removing Arsenic (III) from aqueous solutions through adsorption on iron oxide granules. The relation among four inde...
متن کاملModeling and Optimization of Arsenic (III) Removal from Aqueous Solutions by GFO Using Response Surface Methodology
Arsenic is a highly toxic element for human beings, which is generally found in groundwater. Dissolved Arsenic in water can be seen as As+3 and As+5 states. The adsorption process is one of the available methods to remove Arsenic from aqueous solutions. Thus, this papers aims at removing Arsenic (III) from aqueous solutions through adsorption on iron oxide granules. The relation among four inde...
متن کاملPhotocatalytic Removal of Amaranth Optimization Using Response Surface Methodology
Since Amaranth (AM) is one of the dye compounds which is harmful to human’s life its removal from industrial waste water would reduce their environmental impact and health effect. Copper nanoparticle (CuNP) is a simple and eco-friendly material which can be used to remove this pollutant. In this paper, copper nanoparticles were synthesized, for removal of AM dye. The experiments were designed b...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Data in Brief
سال: 2018
ISSN: 2352-3409
DOI: 10.1016/j.dib.2018.03.012