Abstract

Exposure to nanomaterials (NMs) can be considered as human, occupational or environmental. Occupational exposure may be experienced by the workers and/or researchers who develop and produce these products and the hazards inherent to exposure are not yet fully known. Quantitative and qualitative methods are available to estimate the occupational risks associated with the handling of NMs, however, both have limitations. In this context, the objective of this study was to create a Bayesian network (BN) that will allow an assessment of the occupational risk associated with the handling of NMs in research laboratories. The BN was developed considered variables related to exposure, the hazards associated with NMs and also the existing control measures in the work environment, such as collective protection equipment (CPE), administrative measures and personal protection equipment (PPE). In addition to assessing the occupational risk, simulations were carried out by the laboratory manager to obtain information on which actions should be taken to reduce the risk. The development of a BN to assess the occupational risk associated with the handling of NMs is a novel aspect of this study. As a distinctive feature, the BN has measurement control variables in addition to considering CPE, administrative measures and PPE. An advantage of this network in relation to other risk assessment models is that it allows the easy execution of simulations and provides a guide for a decision making by identifying which actions should be taken to minimize the risk.

摘要

纳米材料（NMs）的暴露可被视为人类，职业或环境。开发和生产这些产品的工人和/或研究人员可能经历过职业接触，并且尚未完全了解接触所固有的危害。定量和定性方法可用于估计与处理NM相关的职业风险，但是，两者都有局限性。在这种情况下，本研究的目的是创建一个贝叶斯网络（BN），该网络将允许评估与研究实验室中处理NM有关的职业风险。制定BN时要考虑与暴露有关的变量，与NM相关的危害以及工作环境中的现有控制措施，例如集体保护设备（CPE），行政措施和个人保护设备（PPE）。除了评估职业风险外，实验室经理还进行了模拟，以获取有关应采取哪些措施降低风险的信息。BN的开发以评估与NM处理相关的职业风险是这项研究的一个新颖方面。作为一项独特功能，BN除了考虑CPE，行政措施和PPE之外，还具有度量控制变量。与其他风险评估模型相比，该网络的优势在于，它可以轻松执行模拟，并通过确定应采取哪些措施来最大程度地降低风险来为决策提供指导。实验室经理进行了模拟，以获取有关应采取哪些措施降低风险的信息。BN的开发以评估与NM处理相关的职业风险是这项研究的一个新颖方面。作为一项独特功能，BN除了考虑CPE，行政措施和PPE之外，还具有度量控制变量。与其他风险评估模型相比，该网络的优势在于，它可以轻松执行模拟，并通过确定应采取哪些措施来最大程度地降低风险来为决策提供指导。实验室经理进行了模拟，以获取有关应采取哪些措施降低风险的信息。BN的开发以评估与NM处理相关的职业风险是这项研究的一个新颖方面。作为一项独特功能，BN除了考虑CPE，行政措施和PPE之外，还具有度量控制变量。与其他风险评估模型相比，该网络的优势在于，它可以轻松执行模拟，并通过确定应采取哪些措施来最大程度地降低风险来为决策提供指导。国营银行除了考虑CPE，行政措施和PPE之外，还具有度量控制变量。与其他风险评估模型相比，该网络的优势在于，它可以轻松执行模拟，并通过确定应采取哪些措施来最大程度地降低风险来为决策提供指导。国营银行除了考虑CPE，行政措施和PPE之外，还具有度量控制变量。与其他风险评估模型相比，该网络的优势在于，它可以轻松执行模拟，并通过确定应采取哪些措施来最大程度地降低风险来为决策提供指导。