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当前位置: 首页 > 文章 > 响应面优化玉米芯对Cu~(2+)的吸附 上海海洋大学学报 2020 (3) 355-363
Position: Home > Articles > Optimization of Cu~(2+)adsorption on corncob by response surface methodology Journal of Shanghai Ocean University 2020 (3) 355-363

响应面优化玉米芯对Cu~(2+)的吸附

作  者：
王月月;李娟英;鲁玉渭;汤春宇;邵留
单  位：
关键词：
玉米芯;Cu~(2+);吸附;养殖废水;影响因素;响应面分析
摘  要：
以农业废弃物玉米芯作为吸附剂,研究其对水产养殖废水中重金属铜的吸附效果。通过单因素实验研究了pH、水温及废水初始Cu~(2+)质量浓度对铜离子去除率的影响。在此基础上对上述3种因素采用Box-Behnken响应面优化设计和实验,以期获得最佳去除条件。单因素实验结果表明,3个因素均对玉米芯去除Cu~(2+)产生较大影响,影响主次顺序:初始Cu~(2+)质量浓度>温度>pH。响应面设计分析得到玉米芯吸附养殖废水中铜离子的最佳条件为pH=7、温度18.8℃、初始质量浓度0.4 mg/L,在此条件下铜离子去除率为86.65%,接近于理论值(88.11%)。回归模型的P<0.000 1,失拟项的P为0.583 8,说明回归方程极显著,可用以分析玉米芯吸附养殖废水中的铜离子。
译  名：
Optimization of Cu~(2+)adsorption on corncob by response surface methodology
作  者：
WANG Yueyue;LI Juanying;LU Yuwei;TANG Chunyu;SHAO Liu;College of Marine Ecology and Environment, Shanghai Ocean University;Engineering Research Center of Water Environment Ecology, Shanghai Ocean University;
关键词：
corncob;;Cu~(2+);;adsorption;;aquaculture wastewater;;influence factor;;response surface analysis
摘  要：
Agricultural waste corncob was used as adsorbent to study its adsorption effect on Cu~(2+) in aquaculture wastewater. The effects of pH, water temperature and initial Cu~(2+) concentration on the removal rate of copper ions were studied by single factor experiments. Box-Behnken response surface methodology was used to optimize the design and experiment of the above three factors in order to obtain the best removal conditions. The results of single factor test showed that the three factors all had great influence on removal of Cu~(2+) by corncob, and the order of influence was initial Cu~(2+) mass concentration > temperature > pH. Response surface design analysis showed that the optimal conditions for adsorption of copper ions from wastewater were pH=7, temperature 18.8 ℃, initial mass concentration 0.4 mg/L. Under these conditions, the removal rate of copper ions was 86.65%, which was close to the theoretical value(88.11%). The regression model has P<0.000 1 and the P value of lack of fit is 0.583 8, which indicates that the regression equation is extremely significant and can be used to analyze the adsorption of copper ions in the cultivation wastewater by corncob.

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