Process optimization of effective partition constant in progressive freeze concentration of wastewater
Response surface methodology (RSM) was employed to optimize the process parameters for effective partition constant (K) in progressive freeze concentration (PFC) of wastewater. The effects of coolant temperature, circulation flowrate, initial solution concentration and circulation time on the effect...
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my.utm.410242017-02-15T06:50:10Z http://eprints.utm.my/id/eprint/41024/ Process optimization of effective partition constant in progressive freeze concentration of wastewater Jusoh, Mazura Johari, Anwar Ngadi, Norzita Zakaria, Zaki Yamani QD Chemistry Response surface methodology (RSM) was employed to optimize the process parameters for effective partition constant (K) in progressive freeze concentration (PFC) of wastewater. The effects of coolant temperature, circulation flowrate, initial solution concentration and circulation time on the effective partition constant were observed. Results show that the data were adequately fitted into a second-order polynomial model. The linear and quadratic of independent variables, coolant temperature, circulation flowrate, initial solution concentration and circulation time as well as their interactions have significant effects on the effective partition constant. It was predicted that the optimum process parameters within the experimental ranges for the best K would be with coolant temperature of -8.8°C, circulation flowrate of 1051.1 ml/min, initial solution concentration of 6.59 mg/ml and circulation time of 13.9 minutes. Under these conditions, the effective partition constant is predicted to be 0.17. Scientific Research 2013 Article PeerReviewed Jusoh, Mazura and Johari, Anwar and Ngadi, Norzita and Zakaria, Zaki Yamani (2013) Process optimization of effective partition constant in progressive freeze concentration of wastewater. Advances in Chemical Engineering and Sciences, 3 (n/a). pp. 286-293. ISSN 2160-0406 |
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QD Chemistry Jusoh, Mazura Johari, Anwar Ngadi, Norzita Zakaria, Zaki Yamani Process optimization of effective partition constant in progressive freeze concentration of wastewater |
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Response surface methodology (RSM) was employed to optimize the process parameters for effective partition constant (K) in progressive freeze concentration (PFC) of wastewater. The effects of coolant temperature, circulation flowrate, initial solution concentration and circulation time on the effective partition constant were observed. Results show that the data were adequately fitted into a second-order polynomial model. The linear and quadratic of independent variables, coolant temperature, circulation flowrate, initial solution concentration and circulation time as well as their interactions have significant effects on the effective partition constant. It was predicted that the optimum process parameters within the experimental ranges for the best K would be with coolant temperature of -8.8°C, circulation flowrate of 1051.1 ml/min, initial solution concentration of 6.59 mg/ml and circulation time of 13.9 minutes. Under these conditions, the effective partition constant is predicted to be 0.17. |
format |
Article |
author |
Jusoh, Mazura Johari, Anwar Ngadi, Norzita Zakaria, Zaki Yamani |
author_facet |
Jusoh, Mazura Johari, Anwar Ngadi, Norzita Zakaria, Zaki Yamani |
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Jusoh, Mazura |
title |
Process optimization of effective partition constant in progressive freeze concentration of wastewater |
title_short |
Process optimization of effective partition constant in progressive freeze concentration of wastewater |
title_full |
Process optimization of effective partition constant in progressive freeze concentration of wastewater |
title_fullStr |
Process optimization of effective partition constant in progressive freeze concentration of wastewater |
title_full_unstemmed |
Process optimization of effective partition constant in progressive freeze concentration of wastewater |
title_sort |
process optimization of effective partition constant in progressive freeze concentration of wastewater |
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Scientific Research |
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2013 |
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http://eprints.utm.my/id/eprint/41024/ |
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13.160551 |