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Statistical evaluation of dye desorption - mixed two- and three-level design and kinetic modeling

机译:染料解吸统计评价 - 混合两级设计和动力学建模

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摘要

Biosorption has been shown in the literature to be effective in the removal of dye from aqueous solution. To be fully useful, a desorption process is necessary, which has a direct impact on the process costs. The aim of this work was to evaluate the desorption of the azo dye Acid Yellow 23 adsorbed in a biosorbent obtained from Bombyx mori cocoons. Temperature and pH media were evaluated through a mixed two- and three-level design, using NaOH as desorbing agent. Kinetic desorption was also obtained at the optimized condition. The statistical evaluation of the experimental design showed that the pH has almost two times more influence on the dye desorption than the temperature, with only the linear parameters being statistically significant. Among four kinetic desorption models adjusted to the experimental data, the proposed n-order model was statistically determined as the best representation of the experimental data.
机译:在文献中显示了生物吸附,可有效地从水溶液中除去染料。 要完全有用,需要解吸过程,这对过程成本直接影响。 这项工作的目的是评估吸附在从Bombyx Mori Cocoons获得的生物吸附剂中吸附的偶氮染料酸黄23的解吸。 通过混合的两级和三级设计评估温度和pH培养基,使用NaOH作为解吸剂。 在优化条件下也获得了动力学解吸。 实验设计的统计评估表明,PH对染料解吸的影响几乎比温度更多,只有线性参数统计学意义。 在调整到实验数据的四个动力学解吸模型中,所提出的n阶模型是统计上被确定为实验数据的最佳表示。

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