title: [Prediction of photolysis half-lives of PCDD /Fs adsorbed on spruce needles optimized by genetic algorithm].
abstract: Adopting quantum chemical parameters of PCDD/Fs computed with quantum chemical PM3 algorithm, quantitative structure-property relationship (QSPR) model, which could predict photolysis half-life (t1/2) of PCDD/Fs adsorbed to spruce [Picea abies (L.) Karst.] needle surfaces, is established using genetic algorithm (GA) algorithm. It is considered that the main factors affecting lg t1/2 of PCDD/Fs are the energy of the highest occupied molecular orbital (EHOMO), ELUMO - EHOMO and average molecular polarizability (alpha). The lg t1/2 values increase with the increasing of EHOMO and a. The relationship between the lg t1/2 values and ELUMO - EHOMO is a parabolic curve. The lg t1/2 values increase with the increasing of ELUMO - EHOMO when ELUMO - EHOMO > or = 7.847 and decrease with the increasing of when ELUMO - EHOMO < or = 7.847.
authors: Research Center for Persistent Organic Pollutants, Department of Environmental Science and Engineering, Tsinghua University, Beijing 100084, China.
authors: Jun-feng
authors: JF
authors: Niu
authors: Gang
authors: G
authors: Yu
authors: Wen-ya
authors: WY
authors: Han
mesh_terms: D000465:Algorithms; D004785:Environmental Pollutants / Q000378:metabolism*; D005544:Forecasting; D006207:Half-Life; D008962:Models, Theoretical; D010782:Photolysis; D028222:Picea / Q000378:metabolism / Q000502:physiology*; D000072317:Polychlorinated Dibenzodioxins / Q000031:analogs & derivatives* / Q000378:metabolism; D013472:Sunlight
chemical_list: D004785:Environmental Pollutants; D000072317:Polychlorinated Dibenzodioxins