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A comparative evaluation of statistical empirical and neural intelligence modeling of Manihot esculenta-derived leaves extract for optimized bio-coagulation-flocculation of turbid water
Industrial Crops and Products ( IF 5.9 ) Pub Date : 2022-06-21 , DOI: 10.1016/j.indcrop.2022.115194
Heri Septya Kusuma, Andrew Nosakhare Amenaghawon, Handoko Darmokoesoemo, Yantus A.B. Neolaka, Bernadeta Ayu Widyaningrum, Samuel Usiwo Onowise, Chinedu L. Anyalewechi

In this study, extract from Manihot esculenta was evaluated as an ecofriendly coagulant for treating turbid wastewater. Chemical and morphological characterization of the coagulant was performed using field emission scanning electron microscopy (FESEM) with energy dispersive spectroscopy (EDS) and Fourier transform infrared (FTIR) spectroscopy. The coagulation jar tests were done on the basis of a central composite rotatable design (CCRD), while parametric modeling and optimization of the process was done via the statistically inclined response surface methodology (RSM) and the neural intelligence tool (artificial neural networks (ANN). From the FTIR spectra, the coagulant was shown to be characterized by diverse functional groups that have been reported to have a synergistic effect on coagulation. The morphological characteristics obtained from FESEM showed a porous structure. The compositional analysis obtained with EDS showed that the major constituents were carbon and oxygen, which accounted for 67.8% and 23.9%, respectively. Other elements present in the coagulants were potassium (4.6 %), bromine (1.2 %), calcium (1.2 %), phosphorus (0.7 %), magnesium (0.4 %) and silicon (0.3 %). RSM and ANN showed adequacy in modeling the process, although ANN clearly outperformed RSM with better goodness of fit statistical indicators. RSM and ANN both predicted similar maximum turbidity removal (95.4 % and 96.7 %, respectively) under optimized conditions. Thus, Manihot esculenta leaf extract could serve as an efficient coagulant for the remediation of turbid wastewater.



中文翻译:

Manihot esculenta 衍生叶提取物的统计经验和神经智能模型的比较评估,用于优化浑水的生物混凝-絮凝

在这项研究中,来自Manihot esculenta的提取物被评估为一种用于处理浑浊废水的环保混凝剂。使用具有能量色散光谱 (EDS) 和傅里叶变换红外 (FTIR) 光谱的场发射扫描电子显微镜 (FESEM) 对混凝剂进行化学和形态表征。凝固罐测试是在中心复合旋转设计 (CCRD) 的基础上完成的,而参数建模和过程优化是通过统计倾斜响应面方法完成的分别)在优化条件下。因此,Manihot esculenta叶提取物可作为一种有效的混凝剂,用于处理浑浊废水。

更新日期:2022-06-22
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