On March 5, 2019, Salthammer, Tunga; Goss, Kai-Uwe published an article.Related Products of 3319-31-1 The title of the article was Predicting the Gas/Particle Distribution of SVOC in the Indoor Environment Using Poly Parameter Linear Free Energy Relationships. And the article contained the following:
Understanding the partitioning of semi-volatile organic compounds (SVOC) between gas and particle phases is essential for indoor environments exposure anal. and risk assessment. Numerous attempts have been made to calculate gas/particle partitioning coefficients (Kip). Single-parameter adsorption and absorption models, which relate Kip to vapor pressure (Ps) or octanol/air distribution coefficient (KOA) are usually applied. This work used poly-parameter Linear Free Energy Relationships (pp-LFER) to describe the partitioning behavior of 14 SVOC with high relevance for indoor environments. The pp-LFER concept is based on Abraham descriptors and considers interactions between mol. and particle by sep. parameters. Van der Waals interactions can be approximated by the logarithm of the hexadecane/air partitioning coefficient (log KHdA = L), a key parameter for 14 polar, non-ionizable organic esters studied here. For many of the studied compounds, exptl. determined L-values were not available and had to be measured by gas chromatog. The pp-LFER method was shown to be a strong alternative to single-parameter approaches and gave reliable coefficients for gas/particle distribution in indoor environments. The experimental process involved the reaction of Tris(2-ethylhexyl) benzene-1,2,4-tricarboxylate(cas: 3319-31-1).Related Products of 3319-31-1
The Article related to indoor environment gas particle partitioning prediction, poly parameter linear free energy relationship gas particle partitioning, Air Pollution and Industrial Hygiene: Air Pollutants and Air Pollution and other aspects.Related Products of 3319-31-1
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