中国有色金属学报(英文版)
中國有色金屬學報(英文版)
중국유색금속학보(영문판)
TRANSACTIONS OF NONFERROUS METALS SOCIETY OF CHINA
2014年
12期
3971-3978
,共8页
焦飞鹏%帅丽%于金刚%蒋新宇%陈晓青%杜邵龙
焦飛鵬%帥麗%于金剛%蔣新宇%陳曉青%杜邵龍
초비붕%수려%우금강%장신우%진효청%두소룡
煅烧型%层状双金属氢氧化物%谷氨酸%吸附
煅燒型%層狀雙金屬氫氧化物%穀氨痠%吸附
단소형%층상쌍금속경양화물%곡안산%흡부
calcined layered double hydroxides%glutamic acid%adsorption
采用共沉淀法合成Mg与Fe摩尔比为3:1的层状双金属氢氧化物(Mg?Fe?LDH),然后在500°C下煅烧6 h得到煅烧双金属氢氧化物(Mg?Fe?CLDH)。分析Mg?Fe?CLDH与Mg?Fe?LDH对谷氨酸的吸附性能,研究溶液 pH、谷氨酸初始浓度、共存阴离子及温度等因素对吸附效果的影响,并对其吸附过程的动力学和热力学过程进行研究。结果表明:Mg?Fe?CLDH对谷氨酸的吸附效果很好,吸附率在优化条件下达到99.9%;吸附动力学符合准一级动力学方程,平衡吸附等温线很好地符合 Langmuir 方程。颗粒内扩散模型能很好地描述吸附动力学过程。颗粒内扩散模型拟合结果显示,颗粒内扩散不是唯一的反应速率控制步骤。
採用共沉澱法閤成Mg與Fe摩爾比為3:1的層狀雙金屬氫氧化物(Mg?Fe?LDH),然後在500°C下煅燒6 h得到煅燒雙金屬氫氧化物(Mg?Fe?CLDH)。分析Mg?Fe?CLDH與Mg?Fe?LDH對穀氨痠的吸附性能,研究溶液 pH、穀氨痠初始濃度、共存陰離子及溫度等因素對吸附效果的影響,併對其吸附過程的動力學和熱力學過程進行研究。結果錶明:Mg?Fe?CLDH對穀氨痠的吸附效果很好,吸附率在優化條件下達到99.9%;吸附動力學符閤準一級動力學方程,平衡吸附等溫線很好地符閤 Langmuir 方程。顆粒內擴散模型能很好地描述吸附動力學過程。顆粒內擴散模型擬閤結果顯示,顆粒內擴散不是唯一的反應速率控製步驟。
채용공침정법합성Mg여Fe마이비위3:1적층상쌍금속경양화물(Mg?Fe?LDH),연후재500°C하단소6 h득도단소쌍금속경양화물(Mg?Fe?CLDH)。분석Mg?Fe?CLDH여Mg?Fe?LDH대곡안산적흡부성능,연구용액 pH、곡안산초시농도、공존음리자급온도등인소대흡부효과적영향,병대기흡부과정적동역학화열역학과정진행연구。결과표명:Mg?Fe?CLDH대곡안산적흡부효과흔호,흡부솔재우화조건하체도99.9%;흡부동역학부합준일급동역학방정,평형흡부등온선흔호지부합 Langmuir 방정。과립내확산모형능흔호지묘술흡부동역학과정。과립내확산모형의합결과현시,과립내확산불시유일적반응속솔공제보취。
Layered double Mg?Fe?CO3 hydroxide (Mg?Fe?LDH) with a mole ratio of Mg to Fe of 3 was synthesized by coprecipitation method and calcined product Mg?Fe?CLDH was obtained by heating Mg?Fe?LDH at 500 °C for 6 h. The as prepared Mg?Fe?LDH and calcined Mg?Fe?CLDH were used for removal of glutamic acid (Glu) from aqueous solution, respectively. Batch studies were carried out to address various experimental parameters such as contact time, pH, initial glutamic acid (Glu) concentration, co-existing anions and temperature. Glu was removed effectively (99.9%) under the optimized experimental conditions with Mg?Fe?CLDH. The adsorption kinetics follows the Ho’s pseudo second-order model. Isotherms for adsorption with Mg?Fe?CLDH at different solution temperatures were well described using the Langmuir model with a good correlation coefficient. The intraparticle diffusion model fitted the data well, which suggests that the intraparticle diffusion is not only the rate-limiting step.