Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Sun, Xiao, Ding, Ting-Ting, Wang, Ze-Jun, Huang, Peng, Liu, Shu-Shen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
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
_version_ 1785081236750860288
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
work_keys_str_mv AT sunxiao optimizedderivationofpredictednoeffectconcentrationspnecsforeightpolycyclicaromatichydrocarbonspahsusinghc10basedonacutetoxicitydata
AT dingtingting optimizedderivationofpredictednoeffectconcentrationspnecsforeightpolycyclicaromatichydrocarbonspahsusinghc10basedonacutetoxicitydata
AT wangzejun optimizedderivationofpredictednoeffectconcentrationspnecsforeightpolycyclicaromatichydrocarbonspahsusinghc10basedonacutetoxicitydata
AT huangpeng optimizedderivationofpredictednoeffectconcentrationspnecsforeightpolycyclicaromatichydrocarbonspahsusinghc10basedonacutetoxicitydata
AT liushushen optimizedderivationofpredictednoeffectconcentrationspnecsforeightpolycyclicaromatichydrocarbonspahsusinghc10basedonacutetoxicitydata