响应面法优化嗜酸氧化亚铁硫杆菌次生高铁矿物吸附水中铅  被引量:3

The Optimization by Response Surface Method for Adsorption of Pb in Aquatic Solution with Secondary Iron Minerals Facilitated by Acidithiobacillus Ferrooxidans

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作  者:张艳林 王智美[2] 邹志辉[2] 王梅[2] 郭健红[2] 陈炳辉[3] 

机构地区:[1]广东环境保护工程职业学院环境监测系,广东佛山528216 [2]广东药科大学公共卫生学院,广东广州510310 [3]中山大学地球科学系,广东广州510275

出  处:《水处理技术》2017年第4期47-49,共3页Technology of Water Treatment

基  金:2015年广东省高等学校优秀青年教师培养计划(YQ2015203);国家自然科学基金项目(41373079);广东环境保护工程职业学院院长基金科研项目(KY201302007)

摘  要:采用响应面分析法优化氧化亚铁硫杆菌次生高铁矿物吸附水中铅的工艺。根据单因素实验结果,选择次生高铁矿物投加量、pH和吸附时间作为自变量,铅去除率为响应值,进行三因素三水平的响应面实验,通过建立的二次多项式数学模型,研究各因素对响应值的影响,得到高铁矿物吸附水中铅的最佳条件。当次生高铁矿物投加量为0.15 g,pH为2.95、吸附时间为35.85 h时,水中铅的平均去除率达100%,与预测结果近似吻合。结果表明,采用响应面分析法优化氧化亚铁硫杆菌次生高铁矿物吸附水中铅的工艺具有实际应用价值,为水中铅污染的修复提供参考。Response surface methodology (RSM) was used to optimize the adsorption of Pb in aquatic solution with secondary iron minerals facilitated by Aciidithiobacillus ferrooxidans. Based on the single factor experiments, secondary iron minerals dosage, pH and adsorption time were selected as response factors, meanwhile, the removal rate of Pb was used as response value. Through a three-factor-three-level experiment design, the secondary polynomial regression model was proposed and the effect of each factor on response value was analyzed with RSM. Optimum adsorption conditions of secondary iron minerals were as follow: the secondary iron minerals dosage was 0.15 g, pH was 2.95 and adsorption time was 35.85 h. The average experimental removal rate of Pb reached l00%, which was in consistent with the predicated value. RSM analysis used in optimization ofthe adsorption conditions of Pb in aquatic solution by secondary iron minerals is feasible and useful, which could offer a useful reference for the remediation of lead polluted water environment.

关 键 词:嗜酸氧化亚铁硫杆菌 次生高铁矿物  

分 类 号:TQ424.2[化学工程]

 

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