酚类化合物对硝化颗粒污泥活性抑制的定量结构-活性相关研究

测定了酚类化合物对硝化颗粒污泥活性抑制的logIC50值,以量子化学参数为自变量,应用偏最小二乘法（PLS）,建立了酚类化合物对硝化颗粒污泥活性抑制的定量结构-活性相关（QSAR）模型。模型所提取的PLS主成分所能解释的因变量总方差的比例Qc2um为0.820,表明模型具有较好的稳定性和预测能力。模型的结果表明,影响酚类化合物对硝化颗粒污泥活性抑制的主要因素是logkow、CCR和Ehomo,酚类化合物对硝化颗粒污泥活性抑制的logIC50随着分子logkow的增大而减小,随着Ehomo和CCR的增大而增大。     

酚类化合物对硝化颗粒污泥活性抑制的定量结构 活性相关研究

测定了酚类化合物对硝化颗粒污泥活性抑制的logIC₅₀值,以量子化学参数为自变量,应用偏最小二乘法（PLS）,建立了酚类化合物对硝化颗粒污泥活性抑制的定量结构活性相关（QSAR）模型。模型所提取的PLS主成分所能解释的因变量总方差的比例Q²_cum为0.820,表明模型具有较好的稳定性和预测能力。模型的结果表明,影响酚类化合物对硝化颗粒污泥活性抑制的主要因素是logkow、CCR和E_homo,酚类化合物对硝化颗粒污泥活性抑制的logIC₅₀随着分子logkow的增大而减小,随着E_homo和CCR的增大而增大。     

Correlating the physical-chemical properties of phthalate esters using the 'three solubility' approach

A quantitative structure-property relationship (QSPR) method for the correlation of physical-chemical properties and partition coefficients, namely the 'three solubility' approach, is described and applied to a group of 22 phthalate esters. The solubilities or 'apparent-solubilities' of these substances in the liquid state are compiled and correlated against Le Bas molar volume in the three primary media of air, water and octanol. From these solubilities the air-water (K(AW)), octanol-water (K(OW)) and octanol-air (K(OA)) partition coefficients are deduced. Estimated solubilities in water and octanol-water partition coefficients are shown to compare favourably with more recent accurate measurements. A set of selected values is presented, with error limits, which is recommended for use in modelling and assessment studies. Some environmental implications are discussed of the large range in property values for this series.     

Evaluation of the ranking probabilities for partial orders based on random linear extensions

Partial order theory and Hasse diagrams appears to be a promising tool for decision-making in environmental issues. Alternatives or objects are said to be partial ordered when it is impossible to find a mutual relationship (< or >) for all criteria. This is often the case in complicated real life situations. However, sometimes it is attractive to apply a total order, i.e. linear rank, and not just the partial order. Based on ranking probabilities and linear extensions it is possible to derive a total order. A linear extension is a projection of the partial order into a total order that comply with all the relations in the partial order. When all linear extensions are known the ranking probabilities can be found as the probability for an object to occupy a specific rank. However, the total number of linear extensions is proportional with the faculty of the number of objects in the partial order. Therefore it is practically impossible to identify all possible linear extensions for partial orders with more than around 20 objects. This study reviews and evaluates a method which estimates the ranking probability based on sampling of a minor random fraction of the linear extensions. Using standard statistics the necessary number of random linear extensions is described as a function of the ranking probability estimate and the restrictions on the confidence interval around the ranking probability. The analysis reveals a smaller systematic uncertainty, which occurs due to the random selection of ranking between two incomparable objects. The discrepancy appears to be dependent on the structure of the partial order. The method using random linear extensions thus appears as a valuable tool for analysing larger partially ordered sets, which are practically impossible to handle using the total set of linear extensions.     

Equilibrium partitioning of PCB congeners in the water column: Field measurements from the Hudson River

The environmental behavior of hydrophobic organic compounds in water is driven by partitioning between dissolved and sorbed phases. Partitioning behavior of a compound is often based on empirical relationships to other properties of the chemical, such as water solubility and octanol-water partition coefficients, but actual partitioning in the environment may differ significantly from such predictions. We conducted intensive studies of the distribution of PCBs in the fresh water portion of the Hudson River, using sensitive capillary-column gas chromatography methods to calibrate and resolve quantitations for 90 PCB congeners in 48 samples at 10 locations. A linear equilibrium model of PCB congener partitioning, when corrected for temperature and suspended-matter organic carbon content, provides a good representation of phase distribution. When particulate-phase concentrations are predicted from dissolved concentrations with a two-phase model, the predictions are unbiased for the majority of samples and the average percent difference between observed and predicted particulate concentrations is ±43 percent. Estimated in situ partition coefficients show systematic differences from partition coefficients predicted from octanol-water partitioning. Partitioning to colloids appears to be a significant component of total concentration for mono- and dichlorobiphenyls, but not for more highly chlorinated congeners.The colloidal fraction may still cause significant overestimation of the bioavailable fraction for more hydrophobic congeners when a two-component model is used.