probabilistic risk assessment of emerging materials case study of titanium dioxide nanoparticles

• DOI: 10.1080/17435390.2017.1329952
• Corpus ID: 23940632

Probabilistic risk assessment of emerging materials: case study of titanium dioxide nanoparticles

• Michael P. Tsang , D. Hristozov , +6 authors G. Sonnemann
• Published in Nanotoxicology 21 April 2017
• Environmental Science, Materials Science

18 Citations

Sunds probabilistic human health risk assessment methodology and its application to organic pigment used in the automotive industry, probabilistic approach for the risk assessment of nanomaterials: a case study for graphene nanoplatelets., hazard screening methods for nanomaterials: a comparative study, carbon nanotubes: probabilistic approach for occupational risk assessment.

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Quantitative human health risk assessment along the lifecycle of nano-scale copper-based wood preservatives

Human health risk assessments and characterization of nanomaterials: are we ready for the next (active) generations, modeling human health characterization factors for indoor nanomaterial emissions in life cycle assessment: a case-study of titanium dioxide, controlling the risks of nano-enabled products through the life cycle: the case of nano copper oxide paint for wood protection and nano-pigments used in the automotive industry., ranking of human risk assessment models for manufactured nanomaterials along the cooper stage-gate innovation funnel using stakeholder criteria, integrated environmental assessment and management, 81 references, exploring the uncertainties in cancer risk assessment using the integrated probabilistic risk assessment (ipra) approach, range-finding risk assessment of inhalation exposure to nanodiamonds in a laboratory environment, nano and environment - part ii: hazard potentials and risks (nanotrust dossier no. 027en - march 2012), opportunities for a probabilistic risk assessment of chemicals in the european union., conceptual model for assessment of inhalation exposure to manufactured nanoparticles, a probabilistic approach for deriving acceptable human intake limits and human health risks from toxicological studies: general framework, engineered nanomaterials: exposures, hazards, and risk prevention, health implications of engineered nanomaterials., workplace air measurements and likelihood of exposure to manufactured nano-objects, agglomerates, and aggregates, toxicological effects of titanium dioxide nanoparticles: a review of in vivo studies.

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Probabilistic risk assessment of emerging materials: Case study of titanium dioxide nanoparticles

• Kemisk arbejdsmiljø, toksikologi, nanosikkerhed og mikrobiologi
• Det Nationale Forskningscenter for Arbejdsmiljø
• Department of Environmental Sciences, Informatics and Statistics , University Ca' Foscari , Venice , Italy.
• University of Bordeaux, France.

Publikation : Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

The development and use of emerging technologies such as nanomaterials can provide both benefits and risks to society. Emerging materials may promise to bring many technological advantages but may not be well-characterized in terms of their production volumes, magnitude of emissions, behavior in the environment and effects on living organisms. This uncertainty can present challenges to scientists developing these materials and persons responsible for defining and measuring their adverse impacts. Human health risk assessment is a method of identifying the intrinsic hazard of and quantifying the dose-response relationship and exposure to a chemical, to finally determine the estimation of risk. Commonly applied deterministic approaches may not sufficiently estimate and communicate the likelihood of risks from emerging technologies whose uncertainty is large. Probabilistic approaches allow for parameters in the risk assessment process to be defined by distributions instead of single deterministic values whose uncertainty could undermine the value of the assessment. A probabilistic approach was applied to the dose-response and exposure assessment of a case-study involving the production of nanoparticles of titanium dioxide in seven different exposure scenarios. In only one exposure scenario was there a statistically significant level of risk. In the latter case, this involved dumping high volumes of nano-TiO2 powders into an open vessel with no personal protection equipment. The probabilistic approach not only provided the likelihood of but also the major contributing factors to the estimated risk (e.g. emission potential).

Adgang til dokumentet

• 10.1080/17435390.2017.1329952

Fingeraftryk

• Probabilistic Approach Engineering 100%
• Nanoparticles Engineering 100%
• Titanium Dioxide Chemical Engineering 100%
• Hazards Engineering 33%
• Estimation Engineering 33%
• Development Engineering 33%
• Determines Engineering 33%
• High Volume Engineering 33%
• 1 Afsluttet

Projekter pr. år

SUN: Bæredygtige nanoteknologier (SUN)

Jensen, K. A.

01/10/2013 → 31/12/2018

Projekter : Projekt › Forskning

• Nanoparticles 100%
• Probabilistic Approach 50%
• Mass Emission 50%
• Organic Pigment 50%

Citationsformater

T1 - Probabilistic risk assessment of emerging materials

T2 - Case study of titanium dioxide nanoparticles

AU - Tsang, Michael P

AU - Hristozov, Danail

AU - Zabeo, Alex

AU - Koivisto, Antti Joonas

AU - Jensen, Alexander Christian Østerskov

AU - Jensen, Keld Alstrup

AU - Pang, Chengfang

AU - Marcomini, Antonio

AU - Sonnemann, Guido

N2 - The development and use of emerging technologies such as nanomaterials can provide both benefits and risks to society. Emerging materials may promise to bring many technological advantages but may not be well-characterized in terms of their production volumes, magnitude of emissions, behavior in the environment and effects on living organisms. This uncertainty can present challenges to scientists developing these materials and persons responsible for defining and measuring their adverse impacts. Human health risk assessment is a method of identifying the intrinsic hazard of and quantifying the dose-response relationship and exposure to a chemical, to finally determine the estimation of risk. Commonly applied deterministic approaches may not sufficiently estimate and communicate the likelihood of risks from emerging technologies whose uncertainty is large. Probabilistic approaches allow for parameters in the risk assessment process to be defined by distributions instead of single deterministic values whose uncertainty could undermine the value of the assessment. A probabilistic approach was applied to the dose-response and exposure assessment of a case-study involving the production of nanoparticles of titanium dioxide in seven different exposure scenarios. In only one exposure scenario was there a statistically significant level of risk. In the latter case, this involved dumping high volumes of nano-TiO2 powders into an open vessel with no personal protection equipment. The probabilistic approach not only provided the likelihood of but also the major contributing factors to the estimated risk (e.g. emission potential).

AB - The development and use of emerging technologies such as nanomaterials can provide both benefits and risks to society. Emerging materials may promise to bring many technological advantages but may not be well-characterized in terms of their production volumes, magnitude of emissions, behavior in the environment and effects on living organisms. This uncertainty can present challenges to scientists developing these materials and persons responsible for defining and measuring their adverse impacts. Human health risk assessment is a method of identifying the intrinsic hazard of and quantifying the dose-response relationship and exposure to a chemical, to finally determine the estimation of risk. Commonly applied deterministic approaches may not sufficiently estimate and communicate the likelihood of risks from emerging technologies whose uncertainty is large. Probabilistic approaches allow for parameters in the risk assessment process to be defined by distributions instead of single deterministic values whose uncertainty could undermine the value of the assessment. A probabilistic approach was applied to the dose-response and exposure assessment of a case-study involving the production of nanoparticles of titanium dioxide in seven different exposure scenarios. In only one exposure scenario was there a statistically significant level of risk. In the latter case, this involved dumping high volumes of nano-TiO2 powders into an open vessel with no personal protection equipment. The probabilistic approach not only provided the likelihood of but also the major contributing factors to the estimated risk (e.g. emission potential).

KW - Journal Article

U2 - 10.1080/17435390.2017.1329952

DO - 10.1080/17435390.2017.1329952

M3 - Journal article

C2 - 28494628

SN - 1743-5390

JO - Nanotoxicology

JF - Nanotoxicology

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Size-Specific, Dynamic, Probabilistic Material Flow Analysis of Titanium Dioxide Releases into the Environment

Affiliation.

• 1 Empa, Swiss Federal Laboratories for Materials Science and Technologies, Technology and Society Lab, Lerchenfeldstrasse 5, 9014 St. Gallen, Switzerland.
• PMID: 33541069
• DOI: 10.1021/acs.est.0c07446

Most of the existing exposure models for engineered nanomaterials (ENMs) do not consider particle size, crystalline forms, and coating materials that all may influence the material's fate, transport, and toxicity. Our work aimed to incorporate particle size distributions into a material flow analysis (MFA) to develop a size-specific, dynamic, probabilistic MFA model (ss-DPMFA). Using titanium dioxide (TiO 2 ) as a first case study, we aimed to determine the contribution of conventional TiO 2 pigments to the total amount of nanoscale TiO 2 released into the environment. Besides providing information on mass flows, the new model used particle size distributions and crystalline forms to describe the stocks and flows of TiO 2 . The most striking modeling result to emerge was that before TiO 2 ENMs came onto the market as such in 2000, 22,400 tons of nanosized (<100 nm) TiO 2 particles had already been released into the environment, originating from conventional TiO 2 pigments. Even in 2016, 50% of the nanosized TiO 2 particles released into wastewater came from the nanosized fraction of TiO 2 particles in pigments. Quantitative data on the particle size distribution of TiO 2 particles released into the environment can be used as input for environmental fate models. Our new ss-DPMFA model's additional insights about crystalline forms and coatings could pave the way for advanced size- and form-specific hazard and risk assessments for other nanomaterials in ecological systems.

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Probabilistic risk assessment of emerging materials: case study of titanium dioxide nanoparticles

The development and use of emerging technologies such as nanomaterials can provide both benefits and risks to society. Emerging materials may promise to bring many technological advantages but may not be well characterized in terms of their production volumes, magnitude of emissions, behaviour in the environment and effects on living organisms. This uncertainty can present challenges to scientists developing these materials and persons responsible for defining and measuring their adverse impacts. Human health risk assessment is a method of identifying the intrinsic hazard of and quantifying the dose–response relationship and exposure to a chemical, to finally determine the estimation of risk. Commonly applied deterministic approaches may not sufficiently estimate and communicate the likelihood of risks from emerging technologies whose uncertainty is large. Probabilistic approaches allow for parameters in the risk assessment process to be defined by distributions instead of single deterministic values whose uncertainty could undermine the value of the assessment. A probabilistic approach was applied to the dose–response and exposure assessment of a case study involving the production of nanoparticles of titanium dioxide in seven different exposure scenarios. Only one exposure scenario showed a statistically significant level of risk. In the latter case, this involved dumping high volumes of nano-TiO 2 powders into an open vessel with no personal protection equipment. The probabilistic approach not only provided the likelihood of but also the major contributing factors to the estimated risk (e.g. emission potential).

This research was carried out under the European Union Seventh Framework Programme Sustainable Nanotechnologies (SUN) Project (www.sun-fp7.eu). Funding was also provided by the European Cooperation in Science and Technology (COST) Modeling Nanomaterial Toxicity (MODENA) Initiative (www.modena-cost.eu) to Michael Tsang as a short-term scientific mission from University of Bordeaux to Ca’Foscari University in Venice, Italy.

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Probabilistic Risk Assessment of Emerging Materials: Case Study of Titanium Dioxide Nanoparticles

2017, Nanotoxicology

The development and use of emerging technologies such as nanomaterials can provide both benefits and risks to society. Emerging materials may promise to bring many technological advantages but may not be well-characterized in terms of their production volumes, magnitude of emissions, behavior in the environment and effects on living organisms. This uncertainty can present challenges to scientists developing these materials and persons responsible for defining and measuring their adverse impacts. Human health risk assessment is a method of identifying the intrinsic hazard of and quantifying the dose-response relationship and exposure to a chemical, to finally determine the estimation of risk. Commonly applied deterministic approaches may not sufficiently estimate and communicate the likelihood of risks from emerging technologies whose uncertainty is large. Probabilistic approaches allow for parameters in the risk assessment process to be defined by distributions instead of single det...

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Inhaled titanium dioxide nanoparticles: a review of their pulmonary responses with particular focus on the agglomeration state.

• Alexandra Noël  and 
• Ginette Truchon

Département de santé environnementale et de santé au travail, Institut de recherche en santé publique, Université de Montréal, C. P. 6128 Succursale Centre-Ville, Montréal (Québec) H3C 3J7, Canada

Search for more papers by this author

Institut de recherche Robert-Sauvé en santé et en sécurité du travail (IRSST), 505 Boul. De Maisonneuve Ouest, Montréal (Québec) H3A 3C2, Canada

Nanotechnology represents major scientific and economic issues for the future. TiO 2 is used as a reference nanoparticle (NP) for research and workplace exposure assessments due to its important industrial production. However, to date little consistent information exists about its human health effects. Approximately 50% of all TiO 2 in vivo studies targeting the respiratory tract have been by inhalation and these exposures are often in the form of agglomerates rather than as individual NPs. Therefore, the size of the NP agglomerates represents the effective size interacting with the biological material and could thereby influence the NP mechanisms of action. Thus, interpretation of nanotoxicological data without considering the agglomeration state could partly explain the heterogeneous results found in the scientific literature for TiO 2 NPs. The objective of this review is to examine the literature concerning the importance of TiO 2 aerosol characterization in the assessment of pulmonary toxicity in rodents. In this way, this review reveals that the pulmonary responses following inhalation of TiO 2 NPs might not depend solely on the primary NP size, but also on the crystal phase, the NP agglomerate size, its structure and the mass concentration. It also shows that TiO 2 NPs may exert their toxicity mechanisms specifically because of the size of their agglomerates in aerosols, thus supporting the concept that aerosols composed essentially of small (< 100 nm) or large (> 100 nm) NP agglomerates do not seem to follow the same pulmonary toxicity mechanisms.

• TiO 2 nanoparticles
• agglomeration state
• toxicity mechanisms
• pulmonary inflammation
• oxidative stress
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Received 27 May 2014 Accepted 28 June 2014 Published: 19 August 2014

• TiO2 nanoparticles

Probabilistic risk assessment of emerging materials: case study of titanium dioxide nanoparticles (Q60568220)

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