采用OVAT-RSM设计对阳离子改性葫芦壳的磷酸盐吸附过程进行了间隙填充研究

G. Nikolić, Nataša Simonović, Ljubiša Nikolić, Miloš Durmišević, Dragana Marković-Nikolić, N. Ristic, A. Bojić
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摘要

利用改性葫芦吸附剂(季铵Lagenaria vulgaris壳)研究磷酸盐吸附工艺的传统方法,尽管进行了大量的实验,但在预测最佳工艺条件方面存在一定的不足。为了填补以往研究的空白,本研究将传统的(比较动力学、热力学和平衡)和“一次一变量”(OVAT)实验方法与“实验设计”(DoE)方法相结合,进行了设计研究。在磷酸盐吸附工艺优化中进行了综合实验设计,评估了显著因素(最佳吸附条件)及其对响应(吸附效率)的影响,并根据吸附机理预测了最大吸附量。通过OVAT法确定了吸附过程的关键因素。采用响应面法(RSM)中的中心复合设计(CCD)方法对各因素的交互效应进行评价。采用统计软件JMP Pro16对实验进行规划、数据处理和所得结果的统计分析,随机生成4个因子(初始浓度- co、pH值、温度-t、时间-t)在3个水平(-1、0、+1)的CCD矩阵。推导的二阶多项式模型证明了磷酸盐吸附的高度显著性(p<0.0001)。pH值与磷酸盐离子初始浓度之间存在统计学上显著的因子相互作用。实验最大吸附量为17.48 mg/g,与预测值17.58 mg/g非常接近,表明了回归模型的能力和适用性。该模型在环境友好型阳离子葫芦壳处理磷酸盐污染废水工艺优化中具有潜在的应用前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An integrated OVAT-RSM design to gaps-filling in the study of phosphate sorption process onto cationic modified bottle gourd shell
The conventional approach to researching the phosphate sorption process using a modified bottle gourd sorbent (the quaternary ammonium Lagenaria vulgaris shell), regardless of a large number of conducted experiments, indicated certain shortcomings in the prediction of the optimal process conditions. To fill the gaps in previous research, a design study involving conventional (comparative kinetic, thermodynamic and equilibrium) and "One-Variable-At-a-Time" (OVAT) experimental approaches integrated with "Design of Experiments" (DoE) methodology was carried out. The integrated experimental design is implemented in the phosphate sorption process optimization to evaluate significant factors (optimal sorption conditions), and their influence on the response (sorption efficiency), and to predict the maximum sorbent capacity in accordance with the sorption mechanism. The critical factors of the sorption process were determined through the OVAT method. The evaluation of factors' interactive effects was realized using a central composite design (CCD) method within response surface methodology (RSM). A statistical software (JMP Pro16) was applied for planning the experiments , data processing and statistical analysis of the obtained results, which randomly generated a CCD matrix with 4 factors (initial concentration-C o , pH value, temperature-T, time-t) on three levels (-1, 0, +1). The derived second-order polynomial model of phosphate sorption proved to be highly significant (p<0.0001). A statistically significant factor interaction is between the pH value and the initial concentration of phosphate ions. The experimental maximum sorption capacity (17.48 mg/g), very close to the predicted value (17.58 mg/g), indicated the capability and applicability of the regression model. The model finds a potential application in the optimization of the phosphate-contaminated wastewater treatment processes using the environmentally friendly cationic bottle gourd shell.
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