摘要
采用二次回归正交旋转组合设计方法对大豆渣吸附Cu2+的五个因素进行优化,建立了浓度(X1)、加入量(X2)、pH(X3)、温度(X4)、时间(X5)对吸附率(Y)的回归数学模型:Y=73.58219+5.50153X1+4.61857X2+19.47253X3+5.84406X4+3.62286X5-4.77678X21-2.69559X22-6.6478X23+2.78751X24-4.53383X25+0.14936X1X3-0.37914X1X4-0.12638X1X5+0.26425X2X3+1.02252X2X4-0.56296X2X5-3.55009X3X4-0.3102X3X5-0.33318X4X5。得出各因素对大豆渣吸附Cu2+影响顺序为:pH>温度>浓度>加入量>时间。从模型可知,在浓度、加入量、pH、温度、时间为40mg/L、0.1g、8、60℃、4h时,大豆渣对Cu2+吸附率最高可达98.82%,验证值为97.98%,与理论值基本一致。
he five factors of the soybean residue adsorption Cu^2+ was optimized by quadratic regression or-thogonal rotating combination design method and the regression mathematics models about concentration ( X1 ), the addition amount ( X2 ), pH ( X3 ) , temperature ( X4 ) , time ( X5 ) adsorption rate (Y) to adsorption efficien-cy was established as follows: Y = 73. 58219 + 5. 50153X1 +4. 61857X2 + 19. 47253X3 + 5. 84406X4 + 3. 62286X5 -4.776781^2 - 2. 69559X2^2 - 6. 6478X3^2 + 2. 78751X4^2 - 4. 53383X5^2 + 0. 14936X1X3 - 0. 37914X1X4 - 0. 12638X1X5 + 0. 26425X2X3 + 1. 02252X2X4 -0.56296X2X5 -3. 55009X3X4 -0. 3102X3X5 -0. 33318X4X5. The effect order of every factor is pH 〉 temperature 〉 concentration 〉 the addition amount 〉 time. From the model, it is known that when the concentration, the addition amount, pH, temperature and time is 40mg/L, 0. lg, 8, 60℃, 4h, respectively, soybean residue on Cu^2+ adsorption rate is up to 98.82% , validation value is 97.98% , which is basically accordance with the theory value.
出处
《运城学院学报》
2013年第5期60-63,共4页
Journal of Yuncheng University
基金
山西省教育厅科技创新项目(2013154)
运城学院科研基金项目(CY-2012001)
关键词
大豆渣
铜离子
吸附
优化
Cu^2+Soybean residue
Adsorption
Optimization
SEM
F-TIR