Title
Exploring the development of a decision support system (DSS) to prioritize engineered nanoparticles for risk assessment
Author
Marvin, H.J.P.
Bouwmeester, H.
Bakker, M.
Kroese, E.D.
van de Meent, D.
Bourgeois, F.
Lokers, R.
van der Ham, H.
Verhelst, L.
Publication year
2013
Abstract
Engineered nanoparticles (ENPs) have gained huge commercial interest because of their unique and size-related physicochemical properties. The diversity and complexity of ENPs is increasing with the introduction of next generation nanoparticles. The current approaches are not able to assess the safety of all types and applications of ENPs. Therefore, we are developing a decision support system (DSS) that helps to identify those ENPs and applications that should get priority in the risk assessment. This DSS smartly uses existing knowledge in publicly available databases. With the aid of vocabularies, knowledge rules and logic reasoning new knowledge will be derived. In this paper, the procedure for a DSS is described. Since this system is open by design, others can re-use and extend the DSS content, and newly developed DSS tools can be easily accommodated, which will make the DSS more effective over the years. Data of newly emerging studies will be used for the validation of the DSS. The results will benefit regulating authorities and scientists focussing on the development of inherently safe ENPs. © 2013 Springer Science+Business Media Dordrecht.
Subject
Life
QS - Quality & Safety
EELS - Earth, Environmental and Life Sciences
Biomedical Innovation
Biology
Healthy Living
Characterisation
Decision support system
Nanoparticle
Risk assessment
Risk management
Toxicology
To reference this document use:
http://resolver.tudelft.nl/uuid:16b39c72-74d0-4957-b9a2-ed8f0a20c755
DOI
https://doi.org/10.1007/s11051-013-1839-3
TNO identifier
478845
ISSN
1388-0764
Source
Journal of Nanoparticle Research, 15 (8)
Article number
1839
Document type
article