Assessing the environmental impact of phenanthrene in different types of land use based on the binding characteristics with dissolved organic matter
The binding characteristics of phenanthrene with dissolved organic matter (DOM) were studied by the excitation emission matrix fluorescence spectroscopy with parallel factor analysis in four types of land use which derived from forest (F), meadow (M), cropland (C), and greenhouse (G). The results sh...
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Published in | Ecotoxicology and environmental safety Vol. 147; pp. 394 - 400 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
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Elsevier Inc
01.01.2018
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Abstract | The binding characteristics of phenanthrene with dissolved organic matter (DOM) were studied by the excitation emission matrix fluorescence spectroscopy with parallel factor analysis in four types of land use which derived from forest (F), meadow (M), cropland (C), and greenhouse (G). The results showed that the humification degree and binding characteristics of phenanthrene with DOM were distinct differences in the four soils. The binding capacities of humic-like components with phenanthrene were stronger than those of protein-like components. The log K derived from the Stern-Volmer equation significantly correlated with the humification degree of DOM (p < 0.05) in different types of land use. Besides, correlation analysis demonstrated that the potential binding index (Fk) obtained from the modified Stern-Volmer model was a more accurate parameter to describe the combination degree of DOM with phenanthrene than log K, which presented a decrease order of C > F > M > G. Therefore, the environmental impact of phenanthrene in different types of land use could be assessed deeply based on the Fk and DOM concentration.
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•The log K values of component 3 are positively correlated with the humification degree of DOM.•The order of potential binding index is: cropland > forest > meadow > greenhouse.•The potential binding index and DOM concentration co-determine the environmental impact of phenanthrene. |
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AbstractList | The binding characteristics of phenanthrene with dissolved organic matter (DOM) were studied by the excitation emission matrix fluorescence spectroscopy with parallel factor analysis in four types of land use which derived from forest (F), meadow (M), cropland (C), and greenhouse (G). The results showed that the humification degree and binding characteristics of phenanthrene with DOM were distinct differences in the four soils. The binding capacities of humic-like components with phenanthrene were stronger than those of protein-like components. The log K derived from the Stern-Volmer equation significantly correlated with the humification degree of DOM (p < 0.05) in different types of land use. Besides, correlation analysis demonstrated that the potential binding index (Fk) obtained from the modified Stern-Volmer model was a more accurate parameter to describe the combination degree of DOM with phenanthrene than log K, which presented a decrease order of C > F > M > G. Therefore, the environmental impact of phenanthrene in different types of land use could be assessed deeply based on the Fk and DOM concentration.
[Display omitted]
•The log K values of component 3 are positively correlated with the humification degree of DOM.•The order of potential binding index is: cropland > forest > meadow > greenhouse.•The potential binding index and DOM concentration co-determine the environmental impact of phenanthrene. The binding characteristics of phenanthrene with dissolved organic matter (DOM) were studied by the excitation emission matrix fluorescence spectroscopy with parallel factor analysis in four types of land use which derived from forest (F), meadow (M), cropland (C), and greenhouse (G). The results showed that the humification degree and binding characteristics of phenanthrene with DOM were distinct differences in the four soils. The binding capacities of humic-like components with phenanthrene were stronger than those of protein-like components. The log K derived from the Stern-Volmer equation significantly correlated with the humification degree of DOM (p < 0.05) in different types of land use. Besides, correlation analysis demonstrated that the potential binding index (Fk) obtained from the modified Stern-Volmer model was a more accurate parameter to describe the combination degree of DOM with phenanthrene than log K, which presented a decrease order of C > F > M > G. Therefore, the environmental impact of phenanthrene in different types of land use could be assessed deeply based on the Fk and DOM concentration. |
Author | Wei, Qing-Bin Zhao, Yue Zhu, Long-Ji Yang, Tian-Xue Wei, Zi-Min Ma, Ying-Ying Dong, Ying-Li Chen, Xiao-Meng |
Author_xml | – sequence: 1 givenname: Xiao-Meng surname: Chen fullname: Chen, Xiao-Meng organization: College of Life Science, Northeast Agricultural University, Harbin 150030, China – sequence: 2 givenname: Yue surname: Zhao fullname: Zhao, Yue organization: College of Life Science, Northeast Agricultural University, Harbin 150030, China – sequence: 3 givenname: Ying-Ying surname: Ma fullname: Ma, Ying-Ying organization: College of Life Science, Northeast Agricultural University, Harbin 150030, China – sequence: 4 givenname: Long-Ji surname: Zhu fullname: Zhu, Long-Ji organization: College of Life Science, Northeast Agricultural University, Harbin 150030, China – sequence: 5 givenname: Tian-Xue surname: Yang fullname: Yang, Tian-Xue organization: State Key Laboratory of Environment Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China – sequence: 6 givenname: Zi-Min surname: Wei fullname: Wei, Zi-Min email: weizimin@neau.edu.cn, weizm691120@163.com organization: College of Life Science, Northeast Agricultural University, Harbin 150030, China – sequence: 7 givenname: Ying-Li surname: Dong fullname: Dong, Ying-Li organization: Environmental Monitoring Center of Heilongjiang Province, Harbin 150056, China – sequence: 8 givenname: Qing-Bin surname: Wei fullname: Wei, Qing-Bin organization: Environmental Monitoring Center of Heilongjiang Province, Harbin 150056, China |
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Keywords | Excitation and emission matrix-parallel factor (EEM-PARAFAC) analysis Phenanthrene Dissolved organic matter (DOM) Environmental impact |
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SubjectTerms | Agriculture China Dissolved organic matter (DOM) Environmental impact Environmental Monitoring - methods Excitation and emission matrix-parallel factor (EEM-PARAFAC) analysis Factor Analysis, Statistical Forests Grassland Humic Substances - analysis Models, Theoretical Phenanthrene Phenanthrenes - analysis Soil - chemistry Soil Pollutants - analysis Solubility Spectrometry, Fluorescence - methods |
Title | Assessing the environmental impact of phenanthrene in different types of land use based on the binding characteristics with dissolved organic matter |
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