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Using Delaunay triangulation and Voronoi tessellation to predict the toxicities of binary mixtures containing hormetic compound
Concentration addition (CA) was proposed as a reasonable default approach for the ecological risk assessment of chemical mixtures. However, CA cannot predict the toxicity of mixture at some effect zones if not all components have definite effective concentrations at the given effect, such as some co...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5347389/ https://www.ncbi.nlm.nih.gov/pubmed/28287626 http://dx.doi.org/10.1038/srep43473 |
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author | Qu, Rui Liu, Shu-Shen Zheng, Qiao-Feng Li, Tong |
author_facet | Qu, Rui Liu, Shu-Shen Zheng, Qiao-Feng Li, Tong |
author_sort | Qu, Rui |
collection | PubMed |
description | Concentration addition (CA) was proposed as a reasonable default approach for the ecological risk assessment of chemical mixtures. However, CA cannot predict the toxicity of mixture at some effect zones if not all components have definite effective concentrations at the given effect, such as some compounds induce hormesis. In this paper, we developed a new method for the toxicity prediction of various types of binary mixtures, an interpolation method based on the Delaunay triangulation (DT) and Voronoi tessellation (VT) as well as the training set of direct equipartition ray design (EquRay) mixtures, simply IDV(equ). At first, the EquRay was employed to design the basic concentration compositions of five binary mixture rays. The toxic effects of single components and mixture rays at different times and various concentrations were determined by the time-dependent microplate toxicity analysis. Secondly, the concentration-toxicity data of the pure components and various mixture rays were acted as a training set. The DT triangles and VT polygons were constructed by various vertices of concentrations in the training set. The toxicities of unknown mixtures were predicted by the linear interpolation and natural neighbor interpolation of vertices. The IDV(equ) successfully predicted the toxicities of various types of binary mixtures. |
format | Online Article Text |
id | pubmed-5347389 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-53473892017-03-14 Using Delaunay triangulation and Voronoi tessellation to predict the toxicities of binary mixtures containing hormetic compound Qu, Rui Liu, Shu-Shen Zheng, Qiao-Feng Li, Tong Sci Rep Article Concentration addition (CA) was proposed as a reasonable default approach for the ecological risk assessment of chemical mixtures. However, CA cannot predict the toxicity of mixture at some effect zones if not all components have definite effective concentrations at the given effect, such as some compounds induce hormesis. In this paper, we developed a new method for the toxicity prediction of various types of binary mixtures, an interpolation method based on the Delaunay triangulation (DT) and Voronoi tessellation (VT) as well as the training set of direct equipartition ray design (EquRay) mixtures, simply IDV(equ). At first, the EquRay was employed to design the basic concentration compositions of five binary mixture rays. The toxic effects of single components and mixture rays at different times and various concentrations were determined by the time-dependent microplate toxicity analysis. Secondly, the concentration-toxicity data of the pure components and various mixture rays were acted as a training set. The DT triangles and VT polygons were constructed by various vertices of concentrations in the training set. The toxicities of unknown mixtures were predicted by the linear interpolation and natural neighbor interpolation of vertices. The IDV(equ) successfully predicted the toxicities of various types of binary mixtures. Nature Publishing Group 2017-03-13 /pmc/articles/PMC5347389/ /pubmed/28287626 http://dx.doi.org/10.1038/srep43473 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Qu, Rui Liu, Shu-Shen Zheng, Qiao-Feng Li, Tong Using Delaunay triangulation and Voronoi tessellation to predict the toxicities of binary mixtures containing hormetic compound |
title | Using Delaunay triangulation and Voronoi tessellation to predict the toxicities of binary mixtures containing hormetic compound |
title_full | Using Delaunay triangulation and Voronoi tessellation to predict the toxicities of binary mixtures containing hormetic compound |
title_fullStr | Using Delaunay triangulation and Voronoi tessellation to predict the toxicities of binary mixtures containing hormetic compound |
title_full_unstemmed | Using Delaunay triangulation and Voronoi tessellation to predict the toxicities of binary mixtures containing hormetic compound |
title_short | Using Delaunay triangulation and Voronoi tessellation to predict the toxicities of binary mixtures containing hormetic compound |
title_sort | using delaunay triangulation and voronoi tessellation to predict the toxicities of binary mixtures containing hormetic compound |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5347389/ https://www.ncbi.nlm.nih.gov/pubmed/28287626 http://dx.doi.org/10.1038/srep43473 |
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