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首页> 外文期刊>Journal of the Iranian Chemical Society >PAMAM dendrimer-enhanced removal of cobalt ions based on multiple-response optimization using response surface methodology
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PAMAM dendrimer-enhanced removal of cobalt ions based on multiple-response optimization using response surface methodology

机译:Pamam Dendimer - 基于使用响应表面方法的多响应优化提高了钴离子的去除

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摘要

This study introduces poly(amidoamine) PAMAM dendrimers as new macromolecular complexation agents for Co(II) removal in polymer-assisted ultrafiltration (PAUF). A five-level three-factor design of experiments (DOE), central composite design type, and response surface methodology (RSM) were used together to find out the interaction effects and optimize three variables, i.e., initial Co(II) concentration ([Co2+](0)), PAMAM dendrimer-to-Co(II) ratio (r), and pH of solution. Multiple-response simultaneous optimization was conducted by using desirability function. The goal of 73.6% overall desirability was attained for the removal efficiency (R) and metal retention capacity (q). The predicted results obtained for the simultaneous optimization are R = 76.78% and q = 392.09 mg/g. The optimum conditions derived via RSM were found to be as follows: [Co2+](0) = 4.14 mg/L, r = 2, and pH = 9.0. Verification experiments (R = 75.73% and q = 387.32 mg/g) confirmed the validity of the predicted model. The DOE-RSM-utilized and desirability function-optimized PAMAM dendrimer-enhanced ultrafiltration (PAMAM-DEUF) process was used for the first time in this study. The results are comparable to those provided by the reference PAUF technique.
机译:本研究将聚(酰胺胺)PAMAM树枝状大分子引入CO(II)中的新型高分子络合剂,用于在聚合物辅助超滤(PAUF)中除去。使用五级三因素设计(DOE),中央复合设计型和响应面方法(RSM),以查找相互作用效果,优化三个变量,即初始CO(II)浓度([ CO2 +](0)),PAMAM树枝状聚合物 - CO(II)比(R)和溶液pH。通过使用期望函数进行多响应同时优化。除去效率(R)和金属保留容量(Q),达到了73.6%总体期望的目标。获得的预测结果为同时优化为r = 76.78%和Q = 392.09 mg / g。发现通过RSM衍生的最佳条件如下:[CO2 +](0)= 4.14mg / L,R = 2和pH = 9.0。验证实验(r = 75.73%和q = 387.32 mg / g)证实了预测模型的有效性。本研究中首次使用DOE-RSM利用和可取的功能优化的PAMAM DENDIMER增强的超滤(PAMAM-DEUF)工艺。结果与参考肺PAUF技术提供的结果相当。

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