Optimization of Cu2+adsorption on corncob by response surface methodology
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X714;O647.3

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"13th Five-Year Plan" Water Project; Suzhou Regional Water Quality Improvement and Water Ecological Security Technology and Comprehensive Demonstration Project (2017 ZX07205); National Natural Science Foundation Project (31502172); Shanghai science and technology commission scientific research project.

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    Abstract:

    Agricultural waste corncob was used as adsorbent to study its adsorption effect on Cu2+ in aquaculture wastewater. The effects of pH, water temperature and initial Cu2+ 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 Cu2+ by corncob, and the order of influence was initial Cu2+ 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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王月月,李娟英,鲁玉渭,汤春宇,邵留.响应面优化玉米芯对Cu2+的吸附[J].上海海洋大学学报,2020,29(3):355-363.
WANG Yueyue, LI Juanying, LU Yuwei, TANG Chunyu, SHAO Liu. Optimization of Cu2+adsorption on corncob by response surface methodology[J]. Journal of Shanghai Ocean University,2020,29(3):355-363.

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History
  • Received:May 31,2019
  • Revised:December 05,2019
  • Adopted:December 25,2019
  • Online: May 24,2020
  • Published:
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