Ranking of human risk assessment models for manufactured nanomaterials along the Cooper stage-gate innovation funnel using stakeholder criteria

Autor: Wouter Fransman, Thies Oosterwijk, Minne B. Heringa, Arto Säämänen, Biase Liguori, Isabel Rodriguez-Llopis, Keld Alstrup Jensen, Blanca Suarez-Merino, Rob Stierum, Tomi Kanerva, Mikko Poikkimäki, Miikka Dal Maso, Remy Franken, Helene Stockmann-Juvala
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Matching (statistics)
Computer science
stakeholder criteria
Materials Science (miscellaneous)
Stakeholder groups
02 engineering and technology
010501 environmental sciences
01 natural sciences
Population statistics
ranking of models
SDG 3 - Good Health and Well-being
Human risk assessment models
Business case
Decision-making
Safety
Risk
Reliability and Quality

Decision making process
Innovation process
0105 earth and related environmental sciences
Risk assessment
End user
Stakeholder assessment
Public Health
Environmental and Occupational Health

Stakeholder
Human risk assessment
Stakeholder criteria
Nanostructured materials
021001 nanoscience & nanotechnology
Manufactured nanomaterials
manufactured nanomaterials
Work (electrical)
Risk analysis (engineering)
Ranking
Ranking of models
0210 nano-technology
Safety Research
Decision making
Selection and assessments
stakeholder assessment
Zdroj: Franken, R, Heringa, M B, Oosterwijk, T, Dal Maso, M, Fransman, W, Kanerva, T, Liguori, B, Poikkimäki, M, Rodriguez-Llopis, I, Säämänen, A, Stockmann-Juvala, H, Suarez-Merino, B, Alstrup Jensen, K & Stierum, R 2020, ' Ranking of human risk assessment models for manufactured nanomaterials along the Cooper stage-gate innovation funnel using stakeholder criteria ', NanoImpact, vol. 17, 100191 . https://doi.org/10.1016/j.impact.2019.100191
NanoImpact, 17
Popis: The current work describes the interaction with various stakeholder groups to establish consensus on stage-gate specific criteria that human risk assessment (HRA) models for manufactured nanomaterials (MN) need to comply with. During the decisive steps in the innovation process, which can be described in a simplified way as stage-gates, it is decided that an innovation makes it either to launch, or is cancelled during one of these stages. However, at present, it is unknown which current HRA models for MN, can assist in this decision making process and to which extent refinements of these models are needed. To accomplish these goals, several steps were performed: (1) the development of criteria for risk assessment along stage-gates; (2) the active involvement of stakeholders and possible end-users to assign values to these criteria; (3) the inventory, selection and assessment of HRA models according to the developed criteria; (4) the matching of the HRA models to the criteria, assessed by the stakeholders, in order to propose a ranking of existing models and (5) exploration of the model mismatches with stage-gate specific criteria and discussion of current model limitations. The assessment led to a ranking of the models for each of the stage-gates. Two HRA models appeared to be predominantly applicable for all stage-gates, namely the NanoSafer CB and the GUIDEnano tool, where NanoSafer CB scored highest for stage 2 and 3 (scoping and business case) and GUIDEnano tool for stage 4–7 (R&D, testing and validation, launch and monitoring). NanoSafer CB only covers occupational human health. LICARA nanoSCAN scored high for the earlier stages (stage 2, 3 and 4) and scored less for the later stages. RiskofDerm was listed for all stages except stage 3 and 7. ECETOC TRA was represented in stages 3–7, and Stoffenmanager (nano), EGRET2 and ART were applicable for one or two stages. Based on these results, it was possible to prioritize Nanosafer CB, GUIDEnano, RiskofDerm, LICARA nanoSCAN and Stoffenmanager Nano. Of these five models, limitations consisted of e.g. expertise required to use the model, interpretation of the data, quality assessment of the input parameters, consideration of different endpoints and populations (such as children, workers, consumers). Practically, this work provides a prioritization for end users of useful models, among the plethora of different models available, towards HRA of MN. Further, it identifies suggestions for future model improvements, enabling the ultimate practical application in the decision making process during the development of MN or MN containing products.
Databáze: OpenAIRE