Multi-response optimization of a new adsorbent using response surface methodology

碩士 === 淡江大學 === 水資源及環境工程學系碩士班 === 98 === Most adsorbents based on iron oxides are available as fine powders or are generated in-situ in aqueous suspension as hydroxide floc or gel, making separation of these adsorbents from treated liquid very difficult. Recently, several researchers have developed...

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Main Authors: chao-yu Yang, 楊昭瑜
Other Authors: 李奇旺
Format: Others
Language:zh-TW
Published: 2010
Online Access:http://ndltd.ncl.edu.tw/handle/52259956950905342076
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spelling ndltd-TW-098TKU050870932016-04-20T04:18:04Z http://ndltd.ncl.edu.tw/handle/52259956950905342076 Multi-response optimization of a new adsorbent using response surface methodology 以反應曲面法(RSM)探討新型吸附劑最佳之多反應值組合 chao-yu Yang 楊昭瑜 碩士 淡江大學 水資源及環境工程學系碩士班 98 Most adsorbents based on iron oxides are available as fine powders or are generated in-situ in aqueous suspension as hydroxide floc or gel, making separation of these adsorbents from treated liquid very difficult. Recently, several researchers have developed techniques for coating iron oxide onto the surface of substrates to overcome the problem of solid-liquid separation. However, the iron content on the coated substrates is very low. Instead of using coating techniques, in this study iron-rich chitosan-iron oxide composites were formed by mixing chitosan and ferric chloride solution with alkaline solution. The shape, solubility of adsorbent and ratio of chitosan and iron oxides affect Arsenic (As(V)) removal efficiency. According to literatures, five factors, namely concentration of chitosan, Fe, and NaOH, height of the needle head, and the cross-linking reaction, might affect the formation of chitosan-iron oxide composites and As(V) removal efficiency were tested, and their significance were screened experimentally according to fractional factorial design. Subsequently, the selected influential variables (Fe and chitosan concentrations) were included in the regression models of Aspect ratio (%), Solubility of Fe (%), and As removal efficiency (%) which were determined by CCD and RSM. The formula for making ‘the best’ adsorbent was determined based on Derringer’s desirability function including Aspect ratio, Solubility of Fe, and As Removal efficiency. Adsorption of arsenic (V) by adsorbent produced using ‘the best’ formula was studied at pH 7.0 under equilibrium and dynamic conditions. The monolayer adsorption capacity obtained from fitting experimental data with Langmuir model was 11.72 mg/g, and the time to reach equilibrium is about 5 hours, indicating a specific adsorption occurring between the arsenic species and the surface of the adsorbent. SEM analysis reveals that the surface of adsorbent was smooth. 李奇旺 2010 學位論文 ; thesis 98 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 淡江大學 === 水資源及環境工程學系碩士班 === 98 === Most adsorbents based on iron oxides are available as fine powders or are generated in-situ in aqueous suspension as hydroxide floc or gel, making separation of these adsorbents from treated liquid very difficult. Recently, several researchers have developed techniques for coating iron oxide onto the surface of substrates to overcome the problem of solid-liquid separation. However, the iron content on the coated substrates is very low. Instead of using coating techniques, in this study iron-rich chitosan-iron oxide composites were formed by mixing chitosan and ferric chloride solution with alkaline solution. The shape, solubility of adsorbent and ratio of chitosan and iron oxides affect Arsenic (As(V)) removal efficiency. According to literatures, five factors, namely concentration of chitosan, Fe, and NaOH, height of the needle head, and the cross-linking reaction, might affect the formation of chitosan-iron oxide composites and As(V) removal efficiency were tested, and their significance were screened experimentally according to fractional factorial design. Subsequently, the selected influential variables (Fe and chitosan concentrations) were included in the regression models of Aspect ratio (%), Solubility of Fe (%), and As removal efficiency (%) which were determined by CCD and RSM. The formula for making ‘the best’ adsorbent was determined based on Derringer’s desirability function including Aspect ratio, Solubility of Fe, and As Removal efficiency. Adsorption of arsenic (V) by adsorbent produced using ‘the best’ formula was studied at pH 7.0 under equilibrium and dynamic conditions. The monolayer adsorption capacity obtained from fitting experimental data with Langmuir model was 11.72 mg/g, and the time to reach equilibrium is about 5 hours, indicating a specific adsorption occurring between the arsenic species and the surface of the adsorbent. SEM analysis reveals that the surface of adsorbent was smooth.
author2 李奇旺
author_facet 李奇旺
chao-yu Yang
楊昭瑜
author chao-yu Yang
楊昭瑜
spellingShingle chao-yu Yang
楊昭瑜
Multi-response optimization of a new adsorbent using response surface methodology
author_sort chao-yu Yang
title Multi-response optimization of a new adsorbent using response surface methodology
title_short Multi-response optimization of a new adsorbent using response surface methodology
title_full Multi-response optimization of a new adsorbent using response surface methodology
title_fullStr Multi-response optimization of a new adsorbent using response surface methodology
title_full_unstemmed Multi-response optimization of a new adsorbent using response surface methodology
title_sort multi-response optimization of a new adsorbent using response surface methodology
publishDate 2010
url http://ndltd.ncl.edu.tw/handle/52259956950905342076
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