Optimization of chromium(VI) biosorption using gooseberry seeds by response surface methodology
Optimization of chromium(VI) biosorption using gooseberry seeds by response surface methodology
复制标题
DOI：
10.7508/gjesm.2016.01.007
复制
发表时间：
2016-12-01
影响因子：
3.4
通讯作者：
Balan, R.
中科院分区：
文献类型：
--
作者：
Aravind, J.;Kanmani, P.;Balan, R.
目前的调查显示，醋栗（Phyllanthus acidus）种子作为一种有效的生物吸附剂修复铬（VI）的作用，铬是一种有毒的重金属污染物，常见于制革厂和相关行业的废水中。吸附受pH值、温度和金属初始浓度的影响。此外，需要了解所有变量的整体效应，以确定最佳吸附条件，因此，考虑了这些因素，并根据Box Behnken设计进行了总共17次试验。二次模型的R-2值最大（0.9984），F值较大（1109.92）。根据方差分析表和R-2值，预测二次模型是与生成的实验数据最佳拟合的显著性模型。从等高线图中获得的最佳参数为最大去除铬（VI）的初始金属浓度为60 mg/L，pH值为2，温度为27 ℃。在此条件下，最大去除率可达92%。因此，这种生物吸附剂在优化条件下基本上消除了铬（VI），使其能够大规模使用。
The current investigation presents the role of gooseberry (Phyllanthus acidus) seeds as an effective biosorbent for remediating chromium(VI)), a toxic heavy metal pollutant commonly found in effluents from tanneries and relevant industries. Biosorption was affected by pH, temperature and initial metal concentration. Furthermore, there is a need to understand the holistic effect of all variables to ascertain the best possible conditions for adsorption, therefore, these factors were considered and a total of 17 trials were run according to the Box Behnken design. Quadratic model had maximum R-2 value (0.9984) and larger F value (1109.92). From the Analysis Of Variance table and R-2 value, quadratic model was predicted to be the significant model with the best fit to the generated experimental data. The optimal parameters obtained from the contour plot for the maximum removal of chromium(VI) were initial metal concentration of 60 mg/L, pH value of 2, and temperature of 27 degrees C. Under these conditions, maximum removal of 92% was obtained. Thus this biosorbent substantially eliminates chromium(VI) under optimized conditions, enabling its use in larger scale.