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Photodegradation of polycyclic aromatic hydrocarbons on soil surface: Kinetics and quantitative structure-activity relationship (QSAR) model development
被引:3
|作者:
Li, Shuyi
[1
]
Zhang, Shengnan
[1
]
Xu, Jianqiao
[1
]
Guo, Ruixue
[1
]
Allam, Ahmed A.
[2
]
Rady, Ahmed
[3
]
Wang, Zunyao
[1
]
Qu, Ruijuan
[1
]
机构:
[1] Nanjing Univ, Sch Environm, State Key Lab Pollut Control & Resources Reuse, Nanjing 210023, Jiangsu, Peoples R China
[2] Beni Suef Univ, Fac Sci, Zool Dept, Bani Suwayf, Egypt
[3] King Saud Univ, Coll Sci, Dept Zool, POB 2455, Riyadh 11451, Saudi Arabia
基金:
中国国家自然科学基金;
关键词:
Polycyclic aromatic hydrocarbons;
Photodegradation;
Kinetics;
Quantitative structure -activity relationship;
Machine learning;
GAS-PHASE;
PREDICTION;
ADSORPTION;
OXIDATION;
RADICALS;
PAHS;
D O I:
10.1016/j.envpol.2024.123541
中图分类号:
X [环境科学、安全科学];
学科分类号:
08 ;
0830 ;
摘要:
Polycyclic aromatic hydrocarbons (PAHs) have attracted much attention because of their widespread existence and toxicity. Photodegradation is the main natural decay process of PAHs in soil. The photodegradation kinetics of benzopyrene (BaP) on 16 kinds of soils and 10 kinds of PAHs on Hebei (HE) soil were studied. The results showed that BaP had the highest degradation rate in Shaanxi (SN) soil (kobs = 0.11 min-1), and anthracene (Ant) was almost completely degraded after 16 h of irradiation in HE soil. Two quantitative structure-activity relationship (QSAR) models were established by the multiple linear regression (MLR) method. The developed QSAR models have good stability, robustness and predictability. The model revealed that the main factors affecting the photodegradation of PAHs are soil organic matter (SOM) and the energy gap between the highest occupied molecular orbital and the lowest unoccupied molecular orbital (Egap). SOM can function as a photosensitizer to induce the production of active species for photodegradation, thus favoring the photodegradation of PAHs. In addition, compounds with lower Egap are less stable and more reactive, and thus are more prone to photodegradation. Finally, the QSAR model was optimized using machine learning approach. The results of this study provide basic information on the photodegradation of PAHs and have important significance for predicting the environmental behavior of PAHs in soil.
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页数:8
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