Propagation modelling based on airborne particle release data from nanostructured materials for exposure estimation and prediction

Göhler, Daniel; Gritzki, Ralf; Rösler, Markus; Felsmann, Clemens

doi:10.1088/1742-6596/838/1/012010

Cited by 3 publications

(14 citation statements)

References 16 publications

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“…Accordingly, presented data are representative for steady state conditions either for air supply or for aerosol supply. Computing of aerosol propagation on the basis of different transport equations for air/carbon dioxide and aerosol as performed for example by Göhler et al 28 , 39 can significantly improve the model.…”

Section: Discussionmentioning

confidence: 99%

“…To assess how well individual areas of the abdominal cavity interact with the incoming flow, also the field values of the local air age (respectively aerosol age) were computed (by operating homogeneous Neumann boundary conditions) for the visceral and the parietal peritoneum. In order to improve the comparability between scenarios with different flow rates, the non-dimensional air age 27 , 28 was chosen for data representation. With reference to Eq.…”

Section: Methodsmentioning

confidence: 99%

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Development of a rat capnoperitoneum phantom to study drug aerosol deposition in the context of anticancer research on peritoneal carcinomatosis

Göhler

Geldner

Gritzki

et al. 2021

Sci Rep

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Pressurized Intraperitoneal Aerosol Chemotherapy (PIPAC) is a promising approach with a high optimization potential for the treatment of peritoneal carcinomatosis. To study the efficacy of PIPAC and drugs, first rodent cancer models were developed. But inefficient drug aerosol supply and knowledge gaps concerning spatial drug distribution can limit the results based on such models. To study drug aerosol supply/deposition, computed tomography scans of a rat capnoperitoneum were used to deduce a virtual and a physical phantom of the rat capnoperitoneum (RCP). RCP qualification was performed for a specific PIPAC method, where the capnoperitoneum is continuously purged by the drug aerosol. In this context, also in-silico analyses by computational fluid dynamic modelling were conducted on the virtual RCP. The physical RCP was used for ex-vivo granulometric analyses concerning drug deposition. Results of RCP qualification show that aerosol deposition in a continuous purged rat capnoperitoneum depends strongly on the position of the inlet and outlet port. Moreover, it could be shown that the droplet size and charge condition of the drug aerosol define the deposition efficiency. In summary, the developed virtual and physical RCP enables detailed in-silico and ex-vivo analyses on drug supply/deposition in rodents.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Development of a rat capnoperitoneum phantom to study drug aerosol deposition in the context of anticancer research on peritoneal carcinomatosis

Göhler

Geldner

Gritzki

et al. 2021

Sci Rep

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“…These measurements confirm the release of ENM in the laboratory, although the real exposure of the worker is often unknown. Moreover, every laboratory is different and there are several parameters to consider, such as the geometry of the room and the ventilation [88,89]. To overcome this lack of data, theoretical models and simulations can be helpful [88,89].…”

Section: Exposurementioning

confidence: 99%

“…Moreover, every laboratory is different and there are several parameters to consider, such as the geometry of the room and the ventilation [88,89]. To overcome this lack of data, theoretical models and simulations can be helpful [88,89].…”

Section: Exposurementioning

confidence: 99%

NanoSafe III: A User Friendly Safety Management System for Nanomaterials in Laboratories and Small Facilities

et al. 2021

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Research in nanoscience continues to bring forward a steady stream of new nanomaterials and processes that are being developed and marketed. While scientific committees and expert groups deal with the harmonization of terminology and legal challenges, risk assessors in research labs continue to have to deal with the gap between regulations and rapidly developing information. The risk assessment of nanomaterial processes is currently slow and tedious because it is performed on a material-by-material basis. Safety data sheets are rarely available for (new) nanomaterials, and even when they are, they often lack nano-specific information. Exposure estimations or measurements are difficult to perform and require sophisticated and expensive equipment and personal expertise. The use of banding-based risk assessment tools for laboratory environments is an efficient way to evaluate the occupational risks associated with nanomaterials. Herein, we present an updated version of our risk assessment tool for working with nanomaterials based on a three-step control banding approach and the precautionary principle. The first step is to determine the hazard band of the nanomaterial. A decision tree allows the assignment of the material to one of three bands based on known or expected effects on human health. In the second step, the work exposure is evaluated and the processes are classified into three “nano” levels for each specific hazard band. The work exposure is estimated using a laboratory exposure model. The result of this calculation in combination with recommended occupational exposure limits (rOEL) for nanomaterials and an additional safety factor gives the final “nano” level. Finally, we update the technical, organizational, and personal protective measures to allow nanomaterial processes to be established in research environments.

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“…Thereby, release describes the process-induced separation and transfer of discrete particulate or ionic objects from a material into the environment . Ideally, release characterization can be performed under optimal analytical conditions in the laboratory and needs only minimal contextual information for data interpretation . In contrast, exposure assessment requires, beside release data, additional information for the description of the exposure scenario like data on geometric boundaries, interior, ventilation, or the whereabouts of the subject to be exposed. , …”

Section: Introductionmentioning

confidence: 99%

Estimation of Inhalation Exposure on the Basis of Airborne Nanomaterial Release Data and Propagation Modeling

Göhler

Gritzki

Rösler

et al. 2018

ACS Sustainable Chem. Eng.

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The lack of data for inhalation exposure concerning the handling of nanostructured materials is limiting the current nanomaterial risk assessment. However, there are numerous studies dealing with the origin of exposure, i.e., the release. The link between release and exposure are transport and transformation phenomena. Thus, propagation modeling was used to simulate transport from source to breathing zone in order to estimate quantitative exposure levels from measured release data for selected scenarios. On the basis of three ventilation and five release scenarios, exposure levels were calculated with and without human thermal plumes for both the nearfield and the farfield. Results show that the often neglected human-induced convective airflow can have a strong impact on the level of exposure, especially for natural ventilation or non-well-designed technical ventilation systems as typical for nonindustrial consumers or handicraft businesses.

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Propagation modelling based on airborne particle release data from nanostructured materials for exposure estimation and prediction

Cited by 3 publications

References 16 publications

Development of a rat capnoperitoneum phantom to study drug aerosol deposition in the context of anticancer research on peritoneal carcinomatosis

Development of a rat capnoperitoneum phantom to study drug aerosol deposition in the context of anticancer research on peritoneal carcinomatosis

NanoSafe III: A User Friendly Safety Management System for Nanomaterials in Laboratories and Small Facilities

Estimation of Inhalation Exposure on the Basis of Airborne Nanomaterial Release Data and Propagation Modeling

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