کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4407637 1618818 2016 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Distributions of the particle/gas and dust/gas partition coefficients for seventy-two semi-volatile organic compounds in indoor environment
ترجمه فارسی عنوان
توزیع ضرایب پراکندگی ذرات / گاز و گرد و غبار / گاز برای هفتاد و دو ترکیب آلی نیمه فرار در محیط داخلی
کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم محیط زیست شیمی زیست محیطی
چکیده انگلیسی


• 38 empirical equations to calculate Kp and Kd from pL0 and Koa were summarized.
• A reference distribution of log10Kp for 72 SVOCs was determined.
• The log10Kp values were normally distributed for 27 SVOCs.
• The distribution reduces the bias in choosing a specific equation to calculate Kp.
• The ratio between Kp and Kd was determined using linear regression.

Particle/gas and dust/gas partition coefficients (Kp and Kd) are two key parameters that address the partitioning of semi-volatile organic compounds (SVOCs) between gas-phase, airborne particles, and settled dust in indoor environment. A number of empirical equations to calculate the values of Kp and Kd have been reported in the literature. Therefore, the difficulty lies in the selection of a specific empirical equation in a given situation. In this study, we retrieved from the literature 38 empirical equations for calculating Kp and Kd values from the SVOC saturation vapor pressure and octanol/air partition coefficient. These values were calculated for 72 SVOCs: 9 phthalates, 9 polybrominated diphenyl ethers (PBDEs), 11 polychlorinated biphenyls (PCBs), 22 biocides, 14 polycyclic aromatic hydrocarbons (PAHs), 3 alkylphenols, 2 synthetic musks, tributylphosphate, and bisphenol A. The mean and median values of log10Kp or log10Kd for most SVOCs were of the same order of magnitude. The distribution of log10Kp values was fitted to either a normal distribution (for 27 SVOCs) or a log-normal distribution (for 45 SVOCs). This work provides a reference distribution of the log10Kp for 72 SVOCs, and its use may reduce the bias associated with the selection of a specific value or equation.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Chemosphere - Volume 153, June 2016, Pages 212–219
نویسندگان
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