Ecole des Mines de Nantes, GEPEA, UMR-CNRS 6144, 4 rue Alfred Kastler, BP20722, 44307 Nantes Cedex 03, France.
J Colloid Interface Sci. 2012 Jul 1;377(1):375-8. doi: 10.1016/j.jcis.2012.03.068. Epub 2012 Apr 2.
Adsorption of Volatile Organic Compounds (VOCs) is one of the best remediation techniques for controlling industrial air pollution. In this paper, a quantitative predictor model for the characteristic adsorption energy (E) of the Dubinin-Radushkevich (DR) isotherm model has been established with R(2) value of 0.94. A predictor model for characteristic adsorption energy (E) has been established by using Multiple Linear Regression (MLR) analysis in a statistical package MINITAB. The experimental value of characteristic adsorption energy was computed by modeling the isotherm equilibrium data (which contain 120 isotherms involving five VOCs and eight activated carbons at 293, 313, 333, and 353 K) with the Gauss-Newton method in a statistical package R-STAT. The MLR model has been validated with the experimental equilibrium isotherm data points, and it will be implemented in the dynamic adsorption simulation model PROSIM. By implementing this model, it predicts an enormous range of 1200 isotherm equilibrium coefficients of DR model at different temperatures such as 293, 313, 333, and 353K (each isotherm has 10 equilibrium points by changing the concentration) just by a simple MLR characteristic energy model without any experiments.
吸附挥发性有机化合物（VOCs）是控制工业空气污染的最佳修复技术之一。在本文中，使用 MINITAB 统计软件包，通过多元线性回归（MLR）分析，建立了杜宾-拉什科夫（DR）等温线模型特征吸附能（E）的定量预测模型，R(2) 值为 0.94。通过使用统计软件包 R-STAT 中的高斯-牛顿法对包含 5 种 VOC 和 8 种活性炭在 293、313、333 和 353 K 下的 120 个等温线的平衡数据进行建模，计算了特征吸附能的实验值。MLR 模型已通过实验平衡等温线数据点进行了验证，并将在动态吸附模拟模型 PROSIM 中实施。通过实施该模型，它可以在不同温度（如 293、313、333 和 353 K）下预测 1200 个不同温度下 DR 模型的大量等温平衡系数（每个等温线通过改变浓度有 10 个平衡点），而无需进行任何实验，仅通过简单的 MLR 特征能量模型即可实现。
