Stoffenmanager Exposure Model: Company-Specific Exposure Assessments Using a Bayesian Methodology

Ven, Peter van de; Fransman, Wouter; Schinkel, Jody; Rubingh, Carina M.; Warren, Nicholas; Tielemans, Erik

doi:10.1080/15459621003597488

Cited by 8 publications

(2 citation statements)

References 16 publications

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“…Cherrie, Schneider, Spankie, & Quinn, 1996; J. W. Cherrie & Schneider, 1999; Hashimoto et al, 2007; International Organization for Standardization (ISO), 2013; Jones & Nicas, 2006a, 2006b; Lee, Harper, Bowen, & Slaven, 2009; Lee, Slaven, Bowen, & Harper, 2011; Marquart et al, 2008; Chris Money et al, 2006; Schinkel et al, 2010; Tischer, Bredendiek-Kämper, & Poppek, 2003; Tischer, Bredendiek-KÄmper, Poppek, & Packroff, 2009; Van de Ven et al, 2010). Not all of these proposed CB strategies have been adequately described in the published literature.…”

Section: Introductionmentioning

confidence: 99%

Can control banding be useful for the safe handling of nanomaterials? A systematic review

Eastlake

Zumwalde²,

Geraci

2016

J Nanopart Res

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Objectives Control banding (CB) is a risk management strategy that has been used to identify and recommend exposure control measures to potentially hazardous substances for which toxicological information is limited. The application of CB and level of expertise required for implementation and management can differ depending on knowledge of the hazard potential, the likelihood of exposure, and the ability to verify the effectiveness of exposure control measures. A number of different strategies have been proposed for using CB in workplaces where exposure to engineered nanomaterials (ENMs) can occur. However, it is unclear if the use of CB can effectively reduce worker exposure to nanomaterials. A systematic review of studies was conducted to answer the question “can control banding be useful to ensure adequate controls for the safe handling of nanomaterials.” Methods A variety of databases were searched to identify relevant studies pertaining to CB. Database search terms included ‘control’, ‘hazard’, ‘exposure’ and ‘risk’ banding as well as the use of these terms in the context of nanotechnology or nanomaterials. Other potentially relevant studies were identified during the review of articles obtained in the systematic review process. Identification of studies and the extraction of data were independently conducted by the reviewers. Quality of the studies was assessed using the Methodological Index for Non-Randomized Studies (MINORS). The quality of the evidence was evaluated using Grading of Recommendations Assessment, Development and Evaluation (GRADE). Results A total of 235 records were identified in the database search in which 70 records were determined to be eligible for full-text review. Only two studies were identified that met the inclusion criteria. These studies evaluated the application of the CB Nanotool in workplaces where ENMs were being handled. A total of 32 different nanomaterial handling activities were evaluated in these studies by comparing the recommended exposure controls using CB to existing exposure controls previously recommended by an industrial hygienist. It was determined that the selection of exposure controls using CB were consistent with those recommended by an industrial hygienist for 19 out of 32 (59.4%) job activities. A higher level of exposure control was recommended for nine out of 32 (28.1%) job activities using CB while four out of 32 (12.5%) job activities had in place exposure controls that were more stringent than those recommended using CB. After evaluation using GRADE, evidence indicated that the use of CB Nanotool can recommend exposure controls for many ENM job activities that would be consistent with those recommended by an experienced industrial hygienist. Conclusion The use of CB for reducing exposures to ENMs has the potential to be an effective risk management strategy when information is limited on the health risk to the nanomaterial and/or there is an absence of an occupational exposure limit (OEL). However, there remains a lack of evidence to conclude...

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Section: Introductionmentioning

confidence: 99%

Can control banding be useful for the safe handling of nanomaterials? A systematic review

Eastlake

Zumwalde²,

Geraci

2016

J Nanopart Res

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“…The development of Bayesian exposure assessment approaches has been repeatedly advocated as a means to combine modeling approaches with exposure data (Creely et al, 2005;Hewett et al, 2006;Tielemans et al, 2007;Ramachandran, 2008;Sottas et al, 2009;van de Ven et al, 2010). Recently, the Advanced REACH Tool (ART) has been developed, which uses a Bayesian approach to combine a modeled prior estimate of exposure with measured exposure levels (www.advancedreachtool.com) (Tielemans et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

The Advanced REACH Tool (ART): Incorporation of an Exposure Measurement Database

Schinkel

Ritchie

Goede³

et al. 2013

The Annals of Occupational Hygiene

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This article describes the structure, functionalities, and content of the Advanced REACH Tool (ART) exposure database (version 1.5). The incorporation of the exposure database into ART allows users who do not have their own measurement data for their exposure scenario, to update the exposure estimates produced by the mechanistic model using analogous measurement series selected from the ART exposure measurement database. Depending on user input for substance category and activity (sub)classes, the system selects exposure measurement series from the exposure database. The comprehensive scenario descriptions and summary statistics assist the user in deciding if the measurement series are indeed fully analogous. After selecting one or more analogous data sets, the data are used by the Bayesian module of the ART system to update the mechanistically modeled exposure estimates. The 1944 exposure measurements currently stored in the ART exposure measurement database cover 9 exposure situations for handling solid objects (n = 65), 42 situations for handling powders, granules, or pelletized material (n = 488), 5 situations for handling low-volatility liquids (n = 88), 35 situations for handling volatile liquids (n = 870), and 26 situations for handling liquids in which powders are dissolved or dispersed (resulting in exposure to mist) (n = 433). These 117 measurement series form a good basis for supporting user exposure estimates. However, by increasing the diversity of exposure situations and the number of measurement series in the database, the usefulness of the ART system will be further improved. Suggestions to stimulate the process of sharing exposure measurement data both to increase the available data in the ART and for other purposes are made.

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Chemical Hazards at Work and Occupational Diseases Using Job-Exposure Matrices

Canu

2023

Handbook Series in Occupational Health Sciences

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Stoffenmanager Exposure Model: Company-Specific Exposure Assessments Using a Bayesian Methodology

Cited by 8 publications

References 16 publications

Can control banding be useful for the safe handling of nanomaterials? A systematic review

Can control banding be useful for the safe handling of nanomaterials? A systematic review

The Advanced REACH Tool (ART): Incorporation of an Exposure Measurement Database

Chemical Hazards at Work and Occupational Diseases Using Job-Exposure Matrices

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