School of Chemical Engineering, College of Engineering, Universiti Teknologi MARA (UiTM), 40450, Shah Alam, Selangor, Malaysia.
Industrial Process Reliability and Sustainability Research Group (INPRES), College of Engineering, Universiti Teknologi MARA (UiTM), 40450, Shah Alam, Selangor, Malaysia.
Environ Sci Pollut Res Int. 2023 Feb;30(7):17108-17121. doi: 10.1007/s11356-021-17633-w. Epub 2021 Nov 29.
In exploring the application of natural coagulants in industrial wastewater treatment, plant-based coagulants have been gaining more interests due to their potential such as biodegradability and easy availability. Hylocereus undatus foliage as a plant-based coagulant has been proven to be efficient during the coagulation-flocculation process; however, limited research has been reported focusing only on palm oil mill effluent (POME) and latex concentrate wastewater. In addition, no previous study has been carried out to determine the performance evaluation of Hylocereus undatus foliage in treating different types of wastewater incorporating different operating conditions using optimization techniques. Hence, this study employed response surface methodology (RSM) in an attempt to determine the performance evaluation of the coagulant in paint wastewater treatment. Four independent factors such as the pH value, coagulant dosage, rapid mixing speed and temperature were chosen as the operating conditions. Three water parameters such as turbidity, chemical oxygen demand (COD) and suspended solids (SS) were chosen as responses in this study. Results revealed that through central composite design (CCD) via Design Expert software, the optimum conditions were achieved at pH 5, coagulant dosage of 300 mg/L, rapid mixing speed of 120 rpm and temperature at 30 °C. The experimental data was observed to be close to the model predictions with the optimum turbidity, COD and SS removal efficiencies found to be at 62.81%, 59.57% and 57.23%, respectively.
在探索天然混凝剂在工业废水处理中的应用时,由于植物性混凝剂具有生物降解性和易得性等潜在优势,因此越来越受到关注。已证明火龙果叶作为一种植物性混凝剂在混凝-絮凝过程中是有效的;然而,据报道,仅有有限的研究仅集中在棕榈油厂废水(POME)和胶乳浓缩废水上。此外,以前没有研究旨在使用优化技术确定火龙果叶在处理不同类型废水时的性能评估,这些废水具有不同的操作条件。因此,本研究采用响应面法(RSM)试图确定该混凝剂在处理涂料废水中的性能评估。选择四个独立因素,即 pH 值、混凝剂剂量、快速混合速度和温度作为操作条件。选择浊度、化学需氧量(COD)和悬浮固体(SS)三个水质参数作为本研究的响应。结果表明,通过 Design Expert 软件中的中心复合设计(CCD),在 pH 值为 5、混凝剂剂量为 300mg/L、快速混合速度为 120rpm 和温度为 30°C 的最佳条件下获得了结果。实验数据与模型预测值接近,最佳浊度、COD 和 SS 去除效率分别为 62.81%、59.57%和 57.23%。