Implementing the DF4 in a robust model, allowing for enhanced comparison, prioritisation and grouping of Nanomaterials

Janeck J. Scott-Fordsmand; Mónica J.B. Amorim; Peter B. Sørensen

doi:10.1016/j.yrtph.2017.12.008

Implementing the DF4 in a robust model, allowing for enhanced comparison, prioritisation and grouping of Nanomaterials

Janeck J. Scott-Fordsmand^*, Mónica J.B. Amorim, Peter B. Sørensen

^*Corresponding author for this work

Department of Ecoscience - Soil Fauna Ecology and Ecotoxicology

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review

7 Citations (Scopus)

Abstract

It is here shown how partial order can be used to provide a robust and consistent implementation of the DF4 approach which provides unbiased information enabling comparison and open up the possibility for grouping. The approach is based on few assumptions, works well with the data, can include different types of input parameters, and can provide fundamental information about the ranks of tested materials. It is shown that the materials in many cases are below one threshold within a tier, but above another threshold within the same tier. It is also observed that the ranks of the materials can differ between tiers, although this is less relevant for DF4 since parameters evaluation may be hierarchical.

Original language	English
Journal	Regulatory Toxicology and Pharmacology
Volume	92
Pages (from-to)	207-212
Number of pages	6
ISSN	0273-2300
DOIs	https://doi.org/10.1016/j.yrtph.2017.12.008
Publication status	Published - 1 Feb 2018

Keywords

Hazard assessment-
Nanomaterials
Partial order
Ranking
Regulatory

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10.1016/j.yrtph.2017.12.008

Cite this

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title = "Implementing the DF4 in a robust model, allowing for enhanced comparison, prioritisation and grouping of Nanomaterials",

abstract = "It is here shown how partial order can be used to provide a robust and consistent implementation of the DF4 approach which provides unbiased information enabling comparison and open up the possibility for grouping. The approach is based on few assumptions, works well with the data, can include different types of input parameters, and can provide fundamental information about the ranks of tested materials. It is shown that the materials in many cases are below one threshold within a tier, but above another threshold within the same tier. It is also observed that the ranks of the materials can differ between tiers, although this is less relevant for DF4 since parameters evaluation may be hierarchical.",

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Implementing the DF4 in a robust model, allowing for enhanced comparison, prioritisation and grouping of Nanomaterials. / Scott-Fordsmand, Janeck J.; Amorim, Mónica J.B.; Sørensen, Peter B.
In: Regulatory Toxicology and Pharmacology, Vol. 92, 01.02.2018, p. 207-212.

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review

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AB - It is here shown how partial order can be used to provide a robust and consistent implementation of the DF4 approach which provides unbiased information enabling comparison and open up the possibility for grouping. The approach is based on few assumptions, works well with the data, can include different types of input parameters, and can provide fundamental information about the ranks of tested materials. It is shown that the materials in many cases are below one threshold within a tier, but above another threshold within the same tier. It is also observed that the ranks of the materials can differ between tiers, although this is less relevant for DF4 since parameters evaluation may be hierarchical.

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Implementing the DF4 in a robust model, allowing for enhanced comparison, prioritisation and grouping of Nanomaterials

Abstract

Keywords

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