Literature DB >> 16506988

Development of a preliminary framework for informing the risk analysis and risk management of nanoparticles.

Kara Morgan1.   

Abstract

Decisions are often made even when there is uncertainty about the possible outcomes. However, methods for making decisions with uncertainty in the problem framework are scarce. Presently, safety assessment for a product containing engineered nano-scale particles is a very poorly structured problem. Many fields of study may inform the safety assessment of such particles (e.g., ultrafines, aerosols, debris from medical devices), but engineered nano-scale particles may present such unique properties that extrapolating from other types of studies may introduce, and not resolve, uncertainty. Some screening-level health effects studies conducted specifically on engineered nano-scale materials have been published and many more are underway. However, it is clear that the extent of research needed to fully and confidently understand the potential for health or environmental risk from engineered nano-scale particles may take years or even decades to complete. In spite of the great uncertainty, there is existing research and experience among researchers that can help to provide a taxonomy of particle properties, perhaps indicating a relative likelihood of risk, in order to prioritize nanoparticle risk research. To help structure this problem, a framework was developed from expert interviews of nanotechnology researchers. The analysis organizes the information as a system based on the risk assessment framework, in order to support the decision about safety. In the long term, this framework is designed to incorporate research results as they are generated, and therefore serve as a tool for estimating the potential for human health and environmental risk.

Entities:  

Mesh:

Year:  2005        PMID: 16506988     DOI: 10.1111/j.1539-6924.2005.00681.x

Source DB:  PubMed          Journal:  Risk Anal        ISSN: 0272-4332            Impact factor:   4.000


  11 in total

1.  Nanotechnology risk communication past and prologue.

Authors:  Ann Bostrom; Ragnar E Löfstedt
Journal:  Risk Anal       Date:  2010-10-29       Impact factor: 4.000

2.  Essential features for proactive risk management.

Authors:  Vladimir Murashov; John Howard
Journal:  Nat Nanotechnol       Date:  2009-08       Impact factor: 39.213

3.  Corporate social responsibility for nanotechnology oversight.

Authors:  Jennifer Kuzma; Aliya Kuzhabekova
Journal:  Med Health Care Philos       Date:  2011-11

4.  Differential Expression of Mitochondrial Manganese Superoxide Dismutase (SOD) in Triticum aestivum Exposed to Silver Nitrate and Silver Nanoparticles.

Authors:  Javad Karimi; Sasan Mohsenzadeh; Ali Niazi; Ali Moghadam
Journal:  Iran J Biotechnol       Date:  2017-12-29       Impact factor: 1.671

5.  Representing causal knowledge in environmental policy interventions: Advantages and opportunities for qualitative influence diagram applications.

Authors:  John F Carriger; Brian E Dyson; William H Benson
Journal:  Integr Environ Assess Manag       Date:  2018-02-22       Impact factor: 2.992

6.  Toxicological assessment of magnesium oxide nanoparticles in HT29 intestinal cells.

Authors:  Anna Mittag; Thomas Schneider; Martin Westermann; Michael Glei
Journal:  Arch Toxicol       Date:  2019-04-15       Impact factor: 5.153

Review 7.  Effects of nanotoxicity on female reproductivity and fetal development in animal models.

Authors:  Jianling Sun; Qiu Zhang; Zhiping Wang; Bing Yan
Journal:  Int J Mol Sci       Date:  2013-04-29       Impact factor: 5.923

8.  Redefining risk research priorities for nanomaterials.

Authors:  Khara D Grieger; Anders Baun; Richard Owen
Journal:  J Nanopart Res       Date:  2009-12-24       Impact factor: 2.253

9.  Integrated probabilistic risk assessment for nanoparticles: the case of nanosilica in food.

Authors:  Rianne Jacobs; Hilko van der Voet; Cajo J F Ter Braak
Journal:  J Nanopart Res       Date:  2015-06-06       Impact factor: 2.253

10.  A Tractable Method for Measuring Nanomaterial Risk Using Bayesian Networks.

Authors:  Finbarr Murphy; Barry Sheehan; Martin Mullins; Hans Bouwmeester; Hans J P Marvin; Yamine Bouzembrak; Anna L Costa; Rasel Das; Vicki Stone; Syed A M Tofail
Journal:  Nanoscale Res Lett       Date:  2016-11-15       Impact factor: 4.703

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