Optimized Derivation of Predicted No-Effect Concentrations (PNECs) for Eight Polycyclic Aromatic Hydrocarbons (PAHs) Using HC<sub>10</sub> Based on Acute Toxicity Data
For persistent organic pollutants, a concern of environmental supervision, predicted no-effect concentrations (PNECs) are often used in ecological risk assessment, which is commonly derived from the hazardous concentration of 5% (HC<sub>5</sub>) of the species sensitivity distribution (S...
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MDPI AG
2023-06-01
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| Series: | Toxics |
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| Online Access: | https://www.mdpi.com/2305-6304/11/7/563 |
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| author | Xiao Sun Ting-Ting Ding Ze-Jun Wang Peng Huang Shu-Shen Liu |
| author_facet | Xiao Sun Ting-Ting Ding Ze-Jun Wang Peng Huang Shu-Shen Liu |
| author_sort | Xiao Sun |
| collection | DOAJ |
| description | For persistent organic pollutants, a concern of environmental supervision, predicted no-effect concentrations (PNECs) are often used in ecological risk assessment, which is commonly derived from the hazardous concentration of 5% (HC<sub>5</sub>) of the species sensitivity distribution (SSD). To address the problem of a lack of toxicity data, the objectives of this study are to propose and apply two improvement ideas for SSD application, taking polycyclic aromatic hydrocarbons (PAHs) as an example: whether the chronic PNEC can be derived from the acute SSD curve; whether the PNEC may be calculated by HC<sub>10</sub> to avoid solely statistical extrapolation. In this study, the acute SSD curves for eight PAHs and the chronic SSD curves for three PAHs were constructed. The quantity relationship of HC<sub>5</sub>s between the acute and chronic SSD curves was explored, and the value of the assessment factor when using HC<sub>10</sub> to calculate PNEC was derived. The results showed that, for PAHs, the chronic PNEC can be estimated by multiplying the acute PNEC by 0.1, and the value of the assessment factor corresponding to HC<sub>10</sub> is 10. For acenaphthene, anthracene, benzo[a]pyrene, fluoranthene, fluorene, naphthalene, phenanthrene, and pyrene, the chronic PNECs based on the acute HC<sub>10</sub>s were 0.8120, 0.008925, 0.005202, 0.07602, 2.328, 12.75, 0.5731, and 0.05360 μg/L, respectively. |
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| last_indexed | 2024-03-11T00:35:56Z |
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| spelling | doaj.art-2463689f67644edb91d78c18e5e11c152023-11-18T21:36:38ZengMDPI AGToxics2305-63042023-06-0111756310.3390/toxics11070563Optimized Derivation of Predicted No-Effect Concentrations (PNECs) for Eight Polycyclic Aromatic Hydrocarbons (PAHs) Using HC<sub>10</sub> Based on Acute Toxicity DataXiao Sun0Ting-Ting Ding1Ze-Jun Wang2Peng Huang3Shu-Shen Liu4Key Laboratory of Yangtze River Water Environment, Ministry of Education, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, ChinaKey Laboratory of Yangtze River Water Environment, Ministry of Education, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, ChinaNational and Local Joint Engineering Laboratory of Municipal Sewage Resource Utilization Technology, School of Environmental Science and Engineering, Suzhou University of Science and Technology, Suzhou 215009, ChinaKey Laboratory of Yangtze River Water Environment, Ministry of Education, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, ChinaKey Laboratory of Yangtze River Water Environment, Ministry of Education, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, ChinaFor persistent organic pollutants, a concern of environmental supervision, predicted no-effect concentrations (PNECs) are often used in ecological risk assessment, which is commonly derived from the hazardous concentration of 5% (HC<sub>5</sub>) of the species sensitivity distribution (SSD). To address the problem of a lack of toxicity data, the objectives of this study are to propose and apply two improvement ideas for SSD application, taking polycyclic aromatic hydrocarbons (PAHs) as an example: whether the chronic PNEC can be derived from the acute SSD curve; whether the PNEC may be calculated by HC<sub>10</sub> to avoid solely statistical extrapolation. In this study, the acute SSD curves for eight PAHs and the chronic SSD curves for three PAHs were constructed. The quantity relationship of HC<sub>5</sub>s between the acute and chronic SSD curves was explored, and the value of the assessment factor when using HC<sub>10</sub> to calculate PNEC was derived. The results showed that, for PAHs, the chronic PNEC can be estimated by multiplying the acute PNEC by 0.1, and the value of the assessment factor corresponding to HC<sub>10</sub> is 10. For acenaphthene, anthracene, benzo[a]pyrene, fluoranthene, fluorene, naphthalene, phenanthrene, and pyrene, the chronic PNECs based on the acute HC<sub>10</sub>s were 0.8120, 0.008925, 0.005202, 0.07602, 2.328, 12.75, 0.5731, and 0.05360 μg/L, respectively.https://www.mdpi.com/2305-6304/11/7/563two-parameter nonlinear functionscumulative probabilitytoxicity on multi-speciesmedian effect concentrationno observed effect concentrationaquatic organisms |
| spellingShingle | Xiao Sun Ting-Ting Ding Ze-Jun Wang Peng Huang Shu-Shen Liu Optimized Derivation of Predicted No-Effect Concentrations (PNECs) for Eight Polycyclic Aromatic Hydrocarbons (PAHs) Using HC<sub>10</sub> Based on Acute Toxicity Data Toxics two-parameter nonlinear functions cumulative probability toxicity on multi-species median effect concentration no observed effect concentration aquatic organisms |
| title | Optimized Derivation of Predicted No-Effect Concentrations (PNECs) for Eight Polycyclic Aromatic Hydrocarbons (PAHs) Using HC<sub>10</sub> Based on Acute Toxicity Data |
| title_full | Optimized Derivation of Predicted No-Effect Concentrations (PNECs) for Eight Polycyclic Aromatic Hydrocarbons (PAHs) Using HC<sub>10</sub> Based on Acute Toxicity Data |
| title_fullStr | Optimized Derivation of Predicted No-Effect Concentrations (PNECs) for Eight Polycyclic Aromatic Hydrocarbons (PAHs) Using HC<sub>10</sub> Based on Acute Toxicity Data |
| title_full_unstemmed | Optimized Derivation of Predicted No-Effect Concentrations (PNECs) for Eight Polycyclic Aromatic Hydrocarbons (PAHs) Using HC<sub>10</sub> Based on Acute Toxicity Data |
| title_short | Optimized Derivation of Predicted No-Effect Concentrations (PNECs) for Eight Polycyclic Aromatic Hydrocarbons (PAHs) Using HC<sub>10</sub> Based on Acute Toxicity Data |
| title_sort | optimized derivation of predicted no effect concentrations pnecs for eight polycyclic aromatic hydrocarbons pahs using hc sub 10 sub based on acute toxicity data |
| topic | two-parameter nonlinear functions cumulative probability toxicity on multi-species median effect concentration no observed effect concentration aquatic organisms |
| url | https://www.mdpi.com/2305-6304/11/7/563 |
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