Nayak Ashish Kumar, Pal Anjali
Civil Engineering Department, Indian Institute of Technology, Kharagpur 721302, West Bengal, India.
Civil Engineering Department, Indian Institute of Technology, Kharagpur 721302, West Bengal, India.
J Environ Manage. 2017 Sep 15;200:145-159. doi: 10.1016/j.jenvman.2017.05.045. Epub 2017 May 31.
The present work explores, for the first time, the adsorptive removal of methylene blue (MB) dye from aqueous solution using different parts of abundantly available agricultural product, Abelmoschus esculentus (lady's finger), and the processed seed powder (designated as LFSP) was found as the best. The aforesaid biosorbent was characterized using field emission scanning electron microscopy (FESEM), Fourier transform infrared spectroscopy (FTIR) and pH analyses. The biosorption performance was evaluated using batch studies at 303 K, at varying operating conditions such as solution pH, biosorbent dosage, initial dye concentration and contact time. The pseudo-second order kinetic model was followed during the adsorption, and it was also found that intra-particle diffusion played a prominent role in the rate-controlling step. Langmuir and Temkin isotherms were followed the best, as was evident from the lower % non-linear error values and higher degree of determination coefficients. Thermodynamic investigations revealed that the biosorption processes were spontaneous and endothermic. Using the response surface methodology (RSM), a central composite design was developed, and subsequently applied as an input for the artificial neural network (ANN) approach in order to further analyze the interactive term effects between the significant process parameters, on the maximum biosorption capacity for MB dye removal by LFSP. The non-linear error functions and linear regression coefficients on the RSM model showed its dominance behaviour over ANN model for both data fitting and estimation capabilities. Using the statistical optimization, the maximum uptake capacity was found to be 205.656 mg/g. Experiments were conducted to regenerate the adsorbent and to recover the adsorbed dye using the eluent 0.5 M HCl. Cost analysis showed that, LFSP was 7 times cheaper than commercially available activated carbons.
本研究首次探索了使用大量可得的农产品黄秋葵(秋葵)的不同部分从水溶液中吸附去除亚甲基蓝(MB)染料,结果发现加工后的种子粉末(称为LFSP)效果最佳。使用场发射扫描电子显微镜(FESEM)、傅里叶变换红外光谱(FTIR)和pH分析对上述生物吸附剂进行了表征。在303 K下通过批量研究评估生物吸附性能,考察了不同操作条件,如溶液pH值、生物吸附剂用量、初始染料浓度和接触时间。吸附过程遵循准二级动力学模型,还发现颗粒内扩散在速率控制步骤中起主要作用。Langmuir和Temkin等温线拟合效果最佳,较低的非线性误差百分比值和较高的测定系数表明了这一点。热力学研究表明,生物吸附过程是自发的且吸热的。使用响应面方法(RSM)开发了中心复合设计,随后将其作为人工神经网络(ANN)方法的输入,以进一步分析重要工艺参数之间的交互项效应,对LFSP去除MB染料的最大生物吸附容量的影响。RSM模型上的非线性误差函数和线性回归系数在数据拟合和估计能力方面均显示出其优于ANN模型的主导行为。通过统计优化,发现最大吸附容量为205.656 mg/g。进行了实验以再生吸附剂并使用0.5 M HCl洗脱液回收吸附的染料。成本分析表明,LFSP比市售活性炭便宜7倍。