Conceptual model for assessment of inhalation exposure to manufactured nanoparticles

Schneider, Thomas; Brouwer, D.H.; Koponen, Ismo K.; Jensen, Keld Alstrup; Fransman, Wouter; Duuren-Stuurman, B. van; Tongeren, Martie van; Tielemans, Erik

doi:10.1038/jes.2011.4

Cited by 105 publications

(78 citation statements)

References 46 publications

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“…Similarly, the ANSES system is a semi-quantitative tool estimating bands based on sequential sets of questions, ordered in a decision tree (Ostiguy et al, 2010). The Stoffenmanager Nano combines semi-quantitative hazard information with qualitative estimates of inhalation exposure potential to assess risk (Duuren-Stuurman et al, 2011), as the exposure considerations in the tool are informed by a conceptual model described by Schneider et al (2011).…”

Section: Control Banding and Risk Screening Toolsmentioning

confidence: 99%

Frameworks and tools for risk assessment of manufactured nanomaterials

Hristozov

Gottardo

Semenzin

et al. 2016

Environment International

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106

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Commercialization of nanotechnologies entails a regulatory requirement for understanding their environmental, health and safety (EHS) risks. Today we face challenges to assess these risks, which emerge from uncertainties around the interactions of manufactured nanomaterials (MNs) with humans and the environment. In order to reduce these uncertainties, it is necessary to generate sound scientific data on hazard and exposure by means of relevant frameworks and tools. The development of such approaches to facilitate the risk assessment (RA) of MNs has become a dynamic area of research. The aim of this paper was to review and critically analyse these approaches against a set of relevant criteria. The analysis concluded that none of the reviewed frameworks were able to fulfill all evaluation criteria. Many of the existing modelling tools are designed to provide screeninglevel assessments rather than to support regulatory RA and risk management. Nevertheless, there is a tendency towards developing more quantitative, higher-tier models, capable of incorporating uncertainty into their analyses. There is also a trend towards developing validated experimental protocols for material identification and hazard testing, reproducible across laboratories. These tools could enable a shift from a costly case-by-case RA of MNs towards a targeted, flexible and efficient process, based on grouping and read-across strategies and compliant with the 3R (Replacement, Reduction, Refinement) principles. In order to facilitate this process, it is important to transform the current efforts on developing databases and computational models into creating an integrated data and tools infrastructure to support the risk assessment and management of MNs.

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Section: Control Banding and Risk Screening Toolsmentioning

confidence: 99%

Frameworks and tools for risk assessment of manufactured nanomaterials

Hristozov

Gottardo

Semenzin

et al. 2016

Environment International

Self Cite

106

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“…Należy jednak podkreślić, że w przypadku większości rodzajów emitowanych nanoobiektów -w tym nanoobiektów powstających przypadkowo -nie jest znany ich wpływ na zdrowie osób na nie narażonych. Podstawowym działaniem w tym obszarze jest więc uzyskiwanie wiarygodnych informacji na temat narażenia na nanoobiekty, co pozwoli uniknąć w przyszłości potencjalnych problemów zdrowotnych osób narażonych [5][6][7][8][9][10][11][12][13][14][15][16][17][18].…”

Section: Wstępunclassified

Spread of nano-objects in the air as a result of switching-on a microwave

Jankowska¹

2016

Med Pr

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StreszczenieWstęp: W wyniku włączenia w pomieszczeniu kuchenki mikrofalowej w powietrzu są wytwarzane cząstki o nanowymiarach. Wytwarzane cząstki mogą się rozprzestrzeniać w powietrzu w pomieszczeniu. Materiał i metody: Badanie rozprzestrzeniania się cząstek w powietrzu w pomieszczeniu przeprowadzono przez określanie stężeń liczbowych i powierzchniowych oraz średnich wymiarów cząstek. Użyto do tego urządzeń DiscMini umiejscowionych w 6 punktach pomiarowych, pozwalających śledzić zmiany parametrów cząstek przede wszystkim w pobliżu źródła ich wytwarzania i w obszarze działania wentylacji miejscowej (dygestorium), a także w innych punktach, np. w pobliżu okna lub w środku pomieszczenia. Wyniki: Kiedy dygestorium było wyłączo-ne, tzn. w pomieszczeniu występowała wentylacja zrównoważona, włączenie kuchenki spowodowało 9,42-14,14-krotny wzrost stężeń liczbowych cząstek o nanowymiarach w odniesieniu do tła i 3,51-4,81-krotny wzrost stężeń powierzchniowych. Kiedy dygestorium było włączone, tzn. w pomieszczeniu występowało podciśnienie, włączenie kuchenki spowodowało 3,20-4,43-krotny wzrost stężeń liczbowych cząstek o nanowymiarach w odniesieniu do tła i 1,61-1,89-krotny wzrost stężeń powierzchniowych czą-stek. Wnioski: Z analizy danych wynika, że włączenie kuchenki mikrofalowej na 5 min skutkuje wytwarzaniem nanoobiektów po ok. 3 min od włączenia kuchenki, z maksymalnymi wartościami stężeń do 12 min od włączenia kuchenki, we wszystkich 6 punktach pomiarowych zlokalizowanych w badanym pomieszczeniu. Dotyczy to obydwu sytuacji, tzn. włączonego i wyłączonego dygestorium. Med. Pr. 2016;67(3):353-363 Słowa kluczowe: nanoobiekty, rozprzestrzenianie się cząstek, kuchenka mikrofalowa, narażenie, stężenie liczbowe i powierzchniowe, średni wymiar cząstek Abstract Background: Switching-on a microwave results in the creation of nano-sized particles, which can spread through the air of a given premise, e.g., room. Material and Methods: The study was carried out to determine the number and surface concentrations as well as the mean particles size using a DiscMini measurement device distributed in 6 measuring points to track changes of particle parameters, primarily at the source of particle creation and in the area of local ventilation (fume cupboard), and also in other places, e.g., near the window or in the middle of the room. Results: Where the fume cupboard was switched-off, i.e., normal pressure ventilation in the room, switching-on the microwave caused a 9.42-14.14-fold increase in the number concentration of nano-sized particles relative to the background and a 3.51-4.81-fold increase in the surface concentration. Where the fume cupboard was switched-on, i.e., negative pressure ventilation in the room switching-on the microwave caused a 3.20-4.43-fold increase in the number concentration of nano-size particles relative to the background and a 1.61-1.89-fold increase in the surface concentration. Conclusions: The analysis of the data shows that switching-on a microwave for 5 min results in the creation of nano-objects already ...

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“…Stoffenmanager Nano uses a qualitative exposure estimation module (www.stoffenmanager.nl), while NanoSafer uses a quantitative exposure module (http://nanosafer.i-bar.dk). Both modules are based on the concepts of inhalation exposure modeling for nanoparticles as proposed by Schneider et al, 2011. Unfortunately, these have only become available following the completion of our study.…”

Section: Models For Human Exposurementioning

confidence: 99%

Limitations and information needs for engineered nanomaterial-specific exposure estimation and scenarios: recommendations for improved reporting practices

et al. 2012

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The aim of this paper is to describe the process and challenges in building exposure scenarios for engineered nanomaterials (ENM), using an exposure scenario format similar to that used for the European Chemicals regulation (REACH). Over 60 exposure scenarios were developed based on information from publicly-available sources (literature, books, and reports), publicly-available exposure estimation models, occupational sampling campaign data from partnering institutions, and industrial partners regarding their own facilities. The primary focus was on carbon-based nanomaterials, nano-silver (nano-Ag) and nano-titanium dioxide (nano-TiO 2 ), and included occupational and consumer uses of these materials with consideration of the associated environmental release. The process of building exposure scenarios illustrated the availability and limitations of existing information and exposure assessment tools for characterizing exposure to ENM, particularly as it relates to risk assessment. This article describes the gaps in the information reviewed, recommends future areas of ENM exposure research, and proposes types of information that should, at a minimum, be included when reporting the results of such research, so that the information is useful in a wider context.

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Conceptual model for assessment of inhalation exposure to manufactured nanoparticles

Cited by 105 publications

References 46 publications

Frameworks and tools for risk assessment of manufactured nanomaterials

Frameworks and tools for risk assessment of manufactured nanomaterials

Spread of nano-objects in the air as a result of switching-on a microwave

Limitations and information needs for engineered nanomaterial-specific exposure estimation and scenarios: recommendations for improved reporting practices

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