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Statistical modeling of electrochemical removal of sodium in fermented food composts |
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| Authors: | Kitae?Baek Hyun-Jae?Shin Hyun-Ho?Lee Young-Sun?Jun |
| Affiliation: | (1) Department of Chemical Engineering, Korea Advanced Institute of Science and Technology (KAIST), 373-1 Kusong-dong, Yusong-gu, 305-701 Daejeon, Korea;(2) EnzBak. Inc., 309 BVC, Korea Research Institute of Bioscience and Biotechnology (KRIBB), 52 Oun-dong, Yusong-gu, 305-333 Daejeon, Korea;(3) LG Institute of Environment, Safety & Health, Yonsei Engineering Research Center, 134 Shinchon-dong, Seodaemoon-gu, 120-794 Seoul, Korea |
| Abstract: | Electrochemical removal of sodium ion from fermented food composts was analyzed and statistically modeled by response surface methodology (RSM). Empirical models were developed to describe relationships between the operating variables (operation time, current density and water contents) and three responses (removal efficiency, energy expenditure and energy efficiency). Statistical analysis indicated that operation time and current density have significant effect on all responses. Good agreement between predicted and measured values confirmed the usefulness of the model. The models were verified by additional experimental at optimum conditions. |
| Keywords: | Statistical Modeling Sodium Removal Compost Response Surface Methodology |
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