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首页> 外文期刊>RSC Advances >Experimental design for simultaneous analysis of malachite green and methylene blue; derivative spectrophotometry and principal component-artificial neural network
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Experimental design for simultaneous analysis of malachite green and methylene blue; derivative spectrophotometry and principal component-artificial neural network

机译：孔雀石绿和亚甲基蓝同时分析的实验设计;导数分光光度法和主成分-人工神经网络

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In this study, oxidized multiwalled carbon nanotubes (MWCNT) with sizes in the range of 10-30 nm were efficiently applied for simultaneous and competitive adsorption of malachite green (MG) and methylene blue (MB). The competitive adsorption of MB and MG was studied following accurate and repeatable monitoring in binary mixtures via second order derivative spectrophotometry (SODS) and a principal component-artificial neural network model (PCA-ANN). The MWCNTs were characterized by different techniques such as TEM, XPS and FTIR. The dyes removal percentages as responses were modeled and optimized versus the variables by central composite design (CCD) under response surface methodology and PCA-ANN. The optimum values of initial MG and MB concentrations, MWCNT mass (g) and sonication time (min) were found to be 14.6 and 10 mg L-1, 0.025 g and 2.6 min, respectively, at which the removal percentages of the dyes were maximum. The advantage of this process is its high removal performance in a very short time using a small amount of MWCNT. Various isotherm models were applied and their suitability for describing the experimental equilibrium data was investigated. It was shown that the Langmuir model is able to predict the real behavior of both dyes in the equilibrium mode with removal percentages of more than 95% and adsorption capacities of 102.3 and 57.6 mg g(-1) for MB and MG, respectively.
机译：在这项研究中，大小为10-30 nm的氧化多壁碳纳米管（MWCNT）被有效地用于孔雀石绿（MG）和亚甲基蓝（MB）的同时竞争吸附。在通过二阶导数分光光度法（SODS）和主成分-人工神经网络模型（PCA-ANN）对二元混合物进行精确且可重复的监测之后，研究了MB和MG的竞争性吸附。 MWCNT通过不同的技术表征，例如TEM，XPS和FTIR。在响应面方法和PCA-ANN下，通过中央复合设计（CCD）对作为响应的染料去除百分比进行建模和优化，并与变量进行比较。初始MG和MB浓度，MWCNT质量（g）和超声处理时间（min）的最佳值分别为14.6 L和10 mg L-1、0.025 g和2.6 min，此时染料的去除百分比为最大值。该方法的优点是使用少量的MWCNT在很短的时间内具有很高的去除性能。应用了各种等温线模型，并研究了它们对描述实验平衡数据的适用性。结果表明，Langmuir模型能够预测两种染料在平衡模式下的真实行为，分别对MB和MG的去除率超过95％，吸附容量分别为102.3和57.6 mg g（-1）。

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