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Adsorption of Safranin (Cationic) Dye from Water by Bambusa tulda: Characterization and ANN Modeling

机译:竹假单胞菌从水中吸附番红花染料(阳离子型)的表征和人工神经网络建模

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The present research is based on the removal of safranin (cationic) dye, an emerging contaminant from wastewater by sodium bicarbonate modified Bambusa tulda (variety of bamboo and a bioadsorbent) using adsorption technology. Characterization study of sodium bicarbonate-treated bamboo was done through scanning electron microscope analysis and it was found that after treatment with sodium bicarbonate, pore structure of B. tulda gets widened increasing active pore cavity in the adsorbent resulting in larger surface area for higher adsorption. Energy dispersive X-ray analysis showed the presence of Na, Cl, etc., in safranin dye adsorbed adsorbent; in Fourier transform infrared spectroscopy analysis presence of Hydroxyl and Carboxyl group helps largely for adsorption of safranin dye. The batch study experiment gave optimum results for safranin dye at pH 7; rpm 200, temperature 298 K, with an initial concentration of 50 mg/L and a dose of 10 g/L with maximum adsorption capacity of 32.26 mg/g, followed by pseudo second order rate equation and a removal rate of 98.15% for 60 min of time duration. The activation energy was 17.376 kJ/mol. Two algorithms are used in artificial neural network (ANN), that is, Levenberg-Marquardt (LM) and Bayesian Regularization algorithm with different nodes. LM algorithm with three hidden nodes has higher R-2 value with the lesser value of statistical error. Time, dose, and initial concentration can be considered for t-test. Intensive research has been carried out on the modified B. tulda along with characteristic study and modeling analysis by ANN and regression analysis Model Study and Error analysis. Taking considerations of all experimental results and model analysis, it is concluded that sodium bicarbonate treated B. tulda is a good, low cost, and effective adsorbent in comparison to commercially activated carbon for the removal of safranin (cationic) dye from wastewater.
机译:本研究的基础是采用吸附技术,通过碳酸氢钠改性的Bambusa tulda(各种竹子和生物吸附剂)去除番红花(阳离子)染料(一种废水中的新兴污染物)的方法。通过扫描电子显微镜分析对碳酸氢钠处理过的竹子进行表征研究,发现碳酸氢钠处理后,竹节虫的孔结构变宽,吸附剂中的活性孔腔增加,从而产生了更大的表面积,可进行更高的吸附。能量色散X射线分析表明,番红花染料吸附的吸附剂中存在Na,Cl等。在傅立叶变换红外光谱分析中,羟基和羧基的存在在很大程度上有助于藏红花染料的吸附。批处理研究实验给出了番红花染料在pH 7时的最佳结果。 rpm 200,温度298 K,初始浓度为50 mg / L,剂量为10 g / L,最大吸附容量为32.26 mg / g,然后是伪二级速率方程,对60的去除率为98.15%持续时间的最小值。活化能为17.376kJ / mol。人工神经网络(ANN)中使用了两种算法,即具有不同节点的Levenberg-Marquardt(LM)和贝叶斯正则化算法。具有三个隐藏节点的LM算法具有较高的R-2值,而具有较小的统计误差值。时间,剂量和初始浓度可考虑用于t检验。对改进的B. tulda进行了深入研究,并通过ANN进行了特征研究和建模分析,以及回归分析“模型研究”和“误差分析”。考虑到所有实验结果和模型分析,得出结论:与商业活性炭相比,碳酸氢钠处理的B. tulda是一种良好,低成本和有效的吸附剂,可从废水中去除番红花(阳离子)染料。

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