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Scale-up of a dye adsorption process using chemically modified rice husk: optimization using response surface methodology

机译:使用化学修饰的稻壳扩大染料吸附工艺的规模:使用响应面方法进行优化

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This article extends our previous study on malachite green (MG) adsorption using chemically modified rice husk at shake flask level, by investigating the scale up of the dye adsorption process to a laboratory level stirred batch reactor. Response surface methodology (RSM) was employed to investigate the effect of different operating conditions on the uptake of MG. A two level three factor (2~3) full factorial central composite design (CCD) with the help of Design Expert Version 7.1.6 (Stat Ease, USA) was used for the optimization of the adsorption process and to evaluate the effects and interactions of process variables: initial solution pH (4.0-10.0), initial dye concentration (100-500 mg/l), and adsorbent dose (10-50 g/l). Multiple response optimization was applied to the experimental data to discover the optimal conditions for a set of response, simultaneously, by using a desirability function. The optimum conditions for MG adsorption were found to be 8.30, 500 mg/l and 29.31 g/l respectively, for initial solution pH, initial dye concentration and adsorbent dose. Under these conditions, the removal efficiency was found to be 90.83%.
机译:本文通过研究染料吸附过程的规模扩大到实验室级搅拌式分批反应器,扩展了我们先前在摇瓶中使用化学修饰的稻壳对孔雀石绿(MG)吸附的研究。响应面法(RSM)用于研究不同操作条件对MG摄取的影响。在Design Expert版本7.1.6(美国Stat Ease)的帮助下,采用了两级三因子(2〜3)全因子中心复合设计(CCD)来优化吸附过程并评估其作用和相互作用过程变量:初始溶液的pH值(4.0-10.0),初始染料浓度(100-500 mg / l)和吸附剂剂量(10-50 g / l)。通过使用期望函数,将多重响应优化应用于实验数据以同时发现一组响应的最佳条件。对于初始溶液pH,初始染料浓度和吸附剂量,发现MG吸附的最佳条件分别为8.30、500 mg / l和29.31 g / l。在这些条件下,发现去除效率为90.83%。

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