a Department of Chemical Engineering , Indian Institute of Technology (IIT) Kharagpur , West Bengal , India.
b Department of Chemical Engineering, School of Engineering , Howard College, University of Kwazulu-Natal , Durban , South Africa.
J Environ Sci Health A Tox Hazard Subst Environ Eng. 2019;54(1):79-88. doi: 10.1080/10934529.2018.1521674. Epub 2018 Nov 8.
Excessive contamination of fluoride in wastewater is the cause of several chronic health problems. For this purpose, an adsorbent was prepared from alumina by acidic activation using sulfuric acid. The current research aims to find the maximum fluoride adsorption (%) from synthetic and industrial wastewater at optimum process parameters by using response surface methodology (RSM). All batch scale experiments were carried out according to the statistical-design order. Central composite design (CCD) was applied to ascertain the effect of adsorbent dose, pH, initial fluoride concentration and temperature on fluoride adsorption (%). Maximum fluoride removal was predicted based on the quadratic model developed. Validation of the model was done with negligible error. The regression coefficient of the model was found to be 0.96. From the analysis of variance (ANOVA), the factors with the greatest effect on the adsorption of fluoride were identified. Under optimized condition, the adsorbent dose 13.89 g L, pH 5.52, temperature 25 °C and initial fluoride concentration 18.67 mg L resulted in 96% of maximum fluoride adsorption. Under the same optimized parameters, the fluoride adsorption from industrial wastewater found to be 92.10%.
废水中氟化物的过度污染是导致多种慢性健康问题的原因。为此，我们采用硫酸对氧化铝进行酸性活化，制备了一种吸附剂。本研究旨在通过响应面法（RSM），在最佳工艺参数下，从合成废水和工业废水中寻找最大的氟化物吸附（%）。所有批处理规模实验均按照统计设计顺序进行。中心组合设计（CCD）用于确定吸附剂剂量、pH 值、初始氟浓度和温度对氟化物吸附（%）的影响。根据所开发的二次模型预测最大氟化物去除率。模型验证误差可忽略不计。模型的回归系数为 0.96。通过方差分析（ANOVA），确定了对氟化物吸附影响最大的因素。在优化条件下，吸附剂用量 13.89 g/L、pH 值 5.52、温度 25°C 和初始氟浓度 18.67 mg/L 可实现 96%的最大氟化物吸附。在相同的优化参数下，从工业废水中吸附的氟化物含量为 92.10%。
