Application of the Tier 3 NIOSH occupational exposure banding process for the graphene family of nanomaterials: A case study.

IF 1.5 4区 医学 Q4 ENVIRONMENTAL SCIENCES
Mamadou Niang, Nicole Barcellos, Melissa Edmondson, Lilia Chen, Seth McCormick, Matthew M Dahm
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Abstract

Graphene is a class of two-dimensional (2D) nanomaterials composed of single or multiple layers of carbon atoms. To date, there are limited clinical data and no epidemiological research available to assess graphene toxicity in humans. Despite the growing amount of animal toxicity data, there are currently no occupational exposure limits (OELs) for any type of graphene nanomaterial published by international authoritative organizations to ensure their safe handling within workplaces. In the absence of consensus OELs for graphene, the National Institute for Occupational Safety and Health (NIOSH) occupational exposure banding process was used to assign an occupational exposure band (OEB). The NIOSH banding process is organized into a three-tiered system and is a resource for occupational safety and health (OSH) professionals to guide risk management and exposure control decisions when OELs are not available. To the authors' knowledge, there are no Globally Harmonized System of Classification and Labeling of Chemicals (GHS) H-codes/statements available for graphene to conduct a Tier 1 analysis. Even though data were available from authoritative sources for three of nine health endpoints, the data were insufficient to support banding in a Tier 2 assessment. Therefore, a Tier 3 assessment using the NIOSH banding process was applied to the graphene family of nanomaterials (GFN) as a case study based on the specific physicochemical and toxicological properties with uncertainty factor adjustments. The band assignment was replicated by three individuals with advanced toxicology and industrial hygiene knowledge to ensure a consistent outcome. The results found that three of the six endpoints banded were "E," representing an air concentration ≤0.01 mg/m3, while the other three ranged from "A" to "C." This indicates that the graphene materials evaluated may have potential effects at low exposure concentrations (≤0.01 mg/m3). These findings suggest an OEB may be a suitable option for OSH professionals attempting to mitigate risk for GFN in the absence of an OEL and may provide a reasonable initial estimate for recommended workplace exposure and control measures.

针对石墨烯系列纳米材料应用美国国家职业安全与健康管理局(NIOSH)第 3 级职业暴露分级程序:案例研究。
石墨烯是一类由单层或多层碳原子组成的二维(2D)纳米材料。迄今为止,用于评估石墨烯对人体毒性的临床数据和流行病学研究都很有限。尽管动物毒性数据越来越多,但目前还没有国际权威组织公布任何类型石墨烯纳米材料的职业接触限值(OEL),以确保工作场所的安全处理。在没有就石墨烯的 OEL 达成共识的情况下,我们采用了美国国家职业安全与健康研究所(NIOSH)的职业暴露分级流程来指定职业暴露等级(OEB)。NIOSH 分级过程分为三级系统,是职业安全与健康(OSH)专业人员在无法获得 OEL 时指导风险管理和暴露控制决策的资源。据作者所知,目前还没有《全球化学品统一分类和标签制度》(GHS)中适用于石墨烯的 H 代码/声明,因此无法进行第 1 级分析。尽管从权威来源获得了九个健康终点中三个的数据,但这些数据不足以支持第 2 级评估中的分级。因此,根据石墨烯系列纳米材料 (GFN) 的特定物理化学和毒理学特性,并对不确定因素进行调整后,采用 NIOSH 波段划分流程对其进行了第 3 级评估,并将其作为案例研究。三位具有高级毒理学和工业卫生知识的人员重复进行了分级,以确保结果的一致性。结果发现,六个端点分段中有三个为 "E",代表空气浓度≤0.01 mg/m3,而另外三个则从 "A "到 "C "不等。这表明所评估的石墨烯材料在低暴露浓度(≤0.01 mg/m3)下可能会产生潜在影响。这些研究结果表明,OEB 可能是职业安全与健康专业人员在没有 OEL 的情况下试图降低 GFN 风险的一个合适选择,并可为推荐的工作场所暴露和控制措施提供合理的初步估计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Occupational and Environmental Hygiene
Journal of Occupational and Environmental Hygiene 环境科学-公共卫生、环境卫生与职业卫生
CiteScore
3.30
自引率
10.00%
发文量
81
审稿时长
12-24 weeks
期刊介绍: The Journal of Occupational and Environmental Hygiene ( JOEH ) is a joint publication of the American Industrial Hygiene Association (AIHA®) and ACGIH®. The JOEH is a peer-reviewed journal devoted to enhancing the knowledge and practice of occupational and environmental hygiene and safety by widely disseminating research articles and applied studies of the highest quality. The JOEH provides a written medium for the communication of ideas, methods, processes, and research in core and emerging areas of occupational and environmental hygiene. Core domains include, but are not limited to: exposure assessment, control strategies, ergonomics, and risk analysis. Emerging domains include, but are not limited to: sensor technology, emergency preparedness and response, changing workforce, and management and analysis of "big" data.
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