http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Adsorption of Reactive Blue 114 dye by using a new adsorbent: Pomelo peel
Mehmet Emin Argun,Dunyamin Guclu,Mustafa Karatas 한국공업화학회 2014 Journal of Industrial and Engineering Chemistry Vol.20 No.3
This paper describes the removal of Reactive Blue 114 dye from aqueous solutions by using pomelo(Citrus grandis) peel. Pomelo peel can be described as a new, low cost, abundantly available adsorbent. The optimum adsorbent mass, dye concentration, contact time and pH were determined in this study. The parameters of Langmuir, Freundlich and Temkin adsorption isotherms were also obtained usingconcentrations of the dyes ranging from 1.0 to 200 mg/L. Maximum adsorption capacity was obtained as16 mg/g at pH 2 and 303 K solution temperature. The adsorption process was observed to be reachingequilibrium after about 90 min.
Mustafa Karatas,Yusuf Alparslan Argun,Mehmet Emin Argun 한국공업화학회 2012 Journal of Industrial and Engineering Chemistry Vol.18 No.3
In this work, the decolorization of C.I. Reactive Blue 114 (RB114), a commercially important anthraquinonic dye, by Fenton processes was investigated. The effects of operating parameters, such as Fe2+:H2O2 ratio, pH value, reaction time and temperature were examined. Maximum decolorization (86%) efficiencies were achieved at the Fe2+:H2O2 ratio of 0.1 and pH 3 for 20 min reaction time. The decolorization kinetic of RB114 followed pseudo-second-order reaction kinetic. The paper also discussed thermodynamic parameters including changes in Gibbs free energy, and activation energy for the decolorization of RB114 by Fenton and exposed that the oxidation process was spontaneous under natural conditions.
Removal of sulphate from landfill leachate by crystallization
Ahmet Aygun,Selim Dogan,Mehmet Emin Argun,Havva Ates 대한환경공학회 2019 Environmental Engineering Research Vol.24 No.1
The present study explores the applicability of response surface methodology (RSM) in conjunction with central composite design (CCD) matrix to statistically optimize ettringite crystallization process for the removal of sulphate from landfill leachate. A three factor-five coded level CCD with 20 runs, was performed to estimate the best fitted model. The RSM results indicated that the fitted quadratic regression model could be appropriate to predict sulfate removal efficiency. The pH was identified as the most dominant parameter affecting sulphate removal. 61.6% of maximum sulphate removal efficiency was obtained at pH of 11.06 for a 1.87 of Ca/SO₄ and 0.51 of Al/SO₄ molar ratios. The operating cost for ettringite crystallization at optimized conditions was calculated to be 0.52 $/m³. The significance of independent variables and their interactions were tested by analysis of variance. Scanning electron microscope (SEM) and SEM coupled with energy dispersive X-Ray spectroscopy results confirmed the formation of ettringite crystal and were used to describe its morphology features.