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Development of a qsar model to predict soil organic carbon-water partition coefficients of polycyclic aromatic hydrocarbons

หน่วยงาน จุฬาลงกรณ์มหาวิทยาลัย

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ชื่อเรื่อง : Development of a qsar model to predict soil organic carbon-water partition coefficients of polycyclic aromatic hydrocarbons
นักวิจัย : Renu Jailuk
คำค้น : Polycyclic aromatic hydrocarbons , Chemisorption , Soils -- Carbon content
หน่วยงาน : จุฬาลงกรณ์มหาวิทยาลัย
ผู้ร่วมงาน : Benjalak Karnchanasest , Chulalongkorn University. Graduate School
ปีพิมพ์ : 2545
อ้างอิง : 9741725671 , http://cuir.car.chula.ac.th/handle/123456789/11584
ที่มา : -
ความเชี่ยวชาญ : -
ความสัมพันธ์ : -
ขอบเขตของเนื้อหา : -
บทคัดย่อ/คำอธิบาย :

Thesis (M.Sc.)--Chulalongkorn University, 2002

The study focussed on the sorption of 9 PAH (NAP, ACE, FLU, ANT, PHE, FLA, PYR, BaA, and BaP) which was used as the representative for the PAH with log K[subscript ow] ranged from 3.4 to 6.5. the sorption of PAH was undertaken on four soil organic carbon contents over four concentrations of the compounds. The objectives were to evaluate the partitioning behavior of PAH between the soil and the water, to determine the relationships between log K[subscript oc] and log K[subscript ow], MW, log S, log VP, and log H, and to validate the developed models. The soil organic carbon-water partition coefficients (log K[subscript oc]) values of PAH obtained agree well with other studies. The values increased with increasing molecular weight and log K[subscript ow] of the compounds. Deviation of log K[subscript oc] values could be the influence of experimental condition, temperature, soil particle size, suspended or colloidal organic matter, biodegradation, and photodegradation. Good relationships of log K[subscript oc] which those of log K[subscript ow], MW, and log H were obtained which indicated these properties as good indicators for predicting the log K[subscript oc] values. This was evident by the values of log K[subscript oc] of other PAH with log K[subscript ow] ranged from 3.4 to 6.5 derived from the models were close to those in the literatures, especially, the log K[subscript oc] values derived from log K[subscript ow]. The application of the models with similar physicochemical property, i.e., PCDD, PCB is not good as for PAH compounds except the model derived from log K[subscript ow]. Therefore, the application of the models to these groups may be limited. Other models developed from the relationships of log K[subscript oc] with S, VP may not be appropriate since their correlation coefficients were not justified. This was probably due to variation in the S and VP values.

บรรณานุกรม :
Renu Jailuk . (2545). Development of a qsar model to predict soil organic carbon-water partition coefficients of polycyclic aromatic hydrocarbons.
    กรุงเทพมหานคร : จุฬาลงกรณ์มหาวิทยาลัย.
Renu Jailuk . 2545. "Development of a qsar model to predict soil organic carbon-water partition coefficients of polycyclic aromatic hydrocarbons".
    กรุงเทพมหานคร : จุฬาลงกรณ์มหาวิทยาลัย.
Renu Jailuk . "Development of a qsar model to predict soil organic carbon-water partition coefficients of polycyclic aromatic hydrocarbons."
    กรุงเทพมหานคร : จุฬาลงกรณ์มหาวิทยาลัย, 2545. Print.
Renu Jailuk . Development of a qsar model to predict soil organic carbon-water partition coefficients of polycyclic aromatic hydrocarbons. กรุงเทพมหานคร : จุฬาลงกรณ์มหาวิทยาลัย; 2545.