水中痕量有机物光催化降解初始速率排序和预测  

Photocatalytic degradation of trace organics in water: sequencing and prediction of initial degradation rate

作　　者：李伟[1] 杨祝红[1] 冯新[1] 陆小华[1] 

机构地区：[1]南京工业大学化学化工学院,江苏南京210009

出　　处：《化工学报》2007年第6期1426-1431,共6页CIESC Journal

基　　金：国家杰出青年科学基金项目(29925616);国家自然科学基金项目(20246002);江苏省环保科技发展项目(2005001-2)。~~

摘　　要：TiO2光催化技术消除饮用水中痕量有毒有机物的实际应用不像实验室基础研究一样有令人满意的进展,理论研究体系的相对简单与实际应用体系复杂多变的矛盾是现阶段存在的主要问题之一。通过有机物聚类分析将现有的有机物降解实验数据进行归类和排序;同时,从有机物初始浓度与初始降解速率的关系出发,通过Freundlich动力学方程,用研究成熟、检测方便的常量和微量浓度区域的实验数据来预测痕量和超痕量浓度范围内的降解速率,而这个浓度范围正是饮用水深度净化过程所必须涉及的。两方面的结合为理论研究体系与实际应用体系的衔接探索了一条新的思路。Photocatalytic oxidation is a promising technique for drinking water treatment, but is still in the phase of laboratory or small scale test at the moment. The inadequacy of the data of organics photodegradation at trace concentration and the difficulty in detecting trace organics are two outstanding problems. In this work, the clustering analysis method was used according to the structure of organics and the sequencing of their photodegradation rate. The Freundlich kinetics model was used to establish the relations between different scales of organics concentrations, from relatively high concentration to trace or even ultra trace concentration, because there are abundant data of photodegradation at a relatively high concentration. Starting from these data, the combination of clustering analysis, sequencing and kinetics model could show adequate information of the photodegradation at trace concentration, Which is critical in the treatment of drinking water.

关 键 词：光催化 饮用水 深度净化 痕量有机物 动力学模型 

分 类 号：TQ032.41[化学工程] TQ013.2