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Optimized Derivation of Predicted No-Effect Concentrations (PNECs) for Eight Polycyclic Aromatic Hydrocarbons (PAHs) Using HC(10) 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(5)) of the species sensitivity distribution (SSD). To address the p...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10384761/ https://www.ncbi.nlm.nih.gov/pubmed/37505529 http://dx.doi.org/10.3390/toxics11070563 |
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author | Sun, Xiao Ding, Ting-Ting Wang, Ze-Jun Huang, Peng Liu, Shu-Shen |
author_facet | Sun, Xiao Ding, Ting-Ting Wang, Ze-Jun Huang, Peng Liu, Shu-Shen |
author_sort | Sun, Xiao |
collection | PubMed |
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(5)) 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(10) 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(5)s between the acute and chronic SSD curves was explored, and the value of the assessment factor when using HC(10) 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(10) is 10. For acenaphthene, anthracene, benzo[a]pyrene, fluoranthene, fluorene, naphthalene, phenanthrene, and pyrene, the chronic PNECs based on the acute HC(10)s were 0.8120, 0.008925, 0.005202, 0.07602, 2.328, 12.75, 0.5731, and 0.05360 μg/L, respectively. |
format | Online Article Text |
id | pubmed-10384761 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-103847612023-07-30 Optimized Derivation of Predicted No-Effect Concentrations (PNECs) for Eight Polycyclic Aromatic Hydrocarbons (PAHs) Using HC(10) Based on Acute Toxicity Data Sun, Xiao Ding, Ting-Ting Wang, Ze-Jun Huang, Peng Liu, Shu-Shen Toxics Article 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(5)) 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(10) 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(5)s between the acute and chronic SSD curves was explored, and the value of the assessment factor when using HC(10) 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(10) is 10. For acenaphthene, anthracene, benzo[a]pyrene, fluoranthene, fluorene, naphthalene, phenanthrene, and pyrene, the chronic PNECs based on the acute HC(10)s were 0.8120, 0.008925, 0.005202, 0.07602, 2.328, 12.75, 0.5731, and 0.05360 μg/L, respectively. MDPI 2023-06-28 /pmc/articles/PMC10384761/ /pubmed/37505529 http://dx.doi.org/10.3390/toxics11070563 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Sun, Xiao Ding, Ting-Ting Wang, Ze-Jun Huang, Peng Liu, Shu-Shen Optimized Derivation of Predicted No-Effect Concentrations (PNECs) for Eight Polycyclic Aromatic Hydrocarbons (PAHs) Using HC(10) Based on Acute Toxicity Data |
title | Optimized Derivation of Predicted No-Effect Concentrations (PNECs) for Eight Polycyclic Aromatic Hydrocarbons (PAHs) Using HC(10) Based on Acute Toxicity Data |
title_full | Optimized Derivation of Predicted No-Effect Concentrations (PNECs) for Eight Polycyclic Aromatic Hydrocarbons (PAHs) Using HC(10) Based on Acute Toxicity Data |
title_fullStr | Optimized Derivation of Predicted No-Effect Concentrations (PNECs) for Eight Polycyclic Aromatic Hydrocarbons (PAHs) Using HC(10) Based on Acute Toxicity Data |
title_full_unstemmed | Optimized Derivation of Predicted No-Effect Concentrations (PNECs) for Eight Polycyclic Aromatic Hydrocarbons (PAHs) Using HC(10) Based on Acute Toxicity Data |
title_short | Optimized Derivation of Predicted No-Effect Concentrations (PNECs) for Eight Polycyclic Aromatic Hydrocarbons (PAHs) Using HC(10) Based on Acute Toxicity Data |
title_sort | optimized derivation of predicted no-effect concentrations (pnecs) for eight polycyclic aromatic hydrocarbons (pahs) using hc(10) based on acute toxicity data |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10384761/ https://www.ncbi.nlm.nih.gov/pubmed/37505529 http://dx.doi.org/10.3390/toxics11070563 |
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