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Application of fuzzy modeling and response surface methodology for optimization of cadmium uptake by colpomenia sinosa

机译:模糊建模与响应谱面方法在Colpomenia Sinosa优化镉摄取的应用

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The optimum conditions for the removal of cadmium as heavy and toxic metals via a biomass were investigated in this program. The biomass was prepared from an eco-friendly, native, and low-cost algae microorganism, e.g., Colpomenia sinuosa. The cadmium uptake involved the biosorption process onto the cell wall of the Colpomenia sinuosa. The experiments were carried out on the five different parameters of temperature, algae biomass dosage, the initial cadmium concentration, pH of the cadmium solution, and contact time for interval times of cadmium of the biomass surface. The design of the experiment (DOE) was done for different conditions. The optimum conditions were compared via two optimization methods. Both the response surface methodology (RSM) and fuzzy modeling were treated with experimental data. The contour maps were planned for understanding the effects of two interactive factors. The combined effects of pH-temperature, pH-contact time, and algae biomass dosage-temperature were plotted for cadmium uptake.
机译:在该计划中研究了通过生物质去除镉作为重和毒性金属的最佳条件。生物量由环保,天然和低成本的藻类微生物制备,例如Colpomenia sinuosa。镉吸收涉及生物吸附过程在Colpomenia sinuosa的细胞壁上。该实验是对5种不同参数的温度,藻类生物质剂量,初始镉浓度,pH的五个不同参数进行,以及对生物质表面镉的间隔时间的接触时间。实验(DOE)的设计是针对不同条件进行的。通过两种优化方法比较最佳条件。响应面方法(RSM)和模糊建模都用实验数据处理。规划轮廓图以了解两个互动因子的影响。 pH-温度,pH接触时间和藻类生物质剂量 - 温度的综合作用被绘制用于镉吸收。

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