Chemical and Biomolecular Engineering Department, University of California , Berkeley, California 94720-1462, United States.
Environ Sci Technol. 2017 Nov 7;51(21):12466-12472. doi: 10.1021/acs.est.7b03023. Epub 2017 Oct 24.
A group-contribution method based on scaled-particle theory was developed to predict Henry's constants for six families of persistent organic pollutants: polychlorinated benzenes, polychlorinated biphenyls, polychlorinated dibenzodioxins, polychlorinated dibenzofurans, polychlorinated naphthalenes, and polybrominated diphenyl ethers. The group-contribution model uses limited experimental data to obtain group-interaction parameters for an easy-to-use method to predict Henry's constants for systems where reliable experimental data are scarce. By using group-interaction parameters obtained from data reduction, scaled-particle theory gives the partial molar Gibbs energy of dissolution, Δg̅, allowing calculation of Henry's constant, H, for more than 700 organic pollutants. The average deviation between predicted values of log H and experiment is 4%. Application of an approximate van't Hoff equation gives the temperature dependence of Henry's constants for polychlorinated biphenyls, polychlorinated naphthalenes, and polybrominated diphenyl ethers in the environmentally relevant range 0-40 °C.
开发了一种基于标度粒子理论的基团贡献方法,用于预测 6 类持久性有机污染物的亨利常数:多氯苯、多氯联苯、多氯二苯并二恶英、多氯二苯并呋喃、多氯萘和多溴二苯醚。基团贡献模型使用有限的实验数据获得基团相互作用参数,以便在缺乏可靠实验数据的情况下,使用易于使用的方法预测亨利常数。通过使用从数据简化中获得的基团相互作用参数,标度粒子理论给出了溶解的偏摩尔吉布斯能量,Δg̅,从而可以计算超过 700 种有机污染物的亨利常数,H。预测的 log H 值与实验值之间的平均偏差为 4%。应用近似范特霍夫方程给出了在环境相关范围内 0-40°C 时多氯联苯、多氯萘和多溴二苯醚的亨利常数的温度依赖性。