Mi (Jennifer) Shin, Hua Qian, Jee-Eun Lee, Luis Sentis, Silvia Maberti
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引用次数: 0
Abstract
Exposure assessment is a core component of regulatory quantitative risk assessment and plays a central role in risk management. Ideally, personal exposure measurements are collected using techniques that record an individual’s direct exposures. Though this type of data is preferred, it is often lacking. In this study, we tested whether a robot could be programmed to simulate human use of spray products and then used in place of human subjects for generating air concentration data. A robot was programmed to simulate human use of a fabric crafts protector (FCP) and a glass cleaning (GC) product. While the robot used these products, air sampling data was collected to estimate VOC concentrations. The sampling data was summarized and then compared to air concentration data found in the literature while humans used similar products. In this study we successfully programmed a robot to mimic human use of two spray products. Average VOC concentrations were 1.57 ppm for FCP spraying and 0.17 ppm for GC spraying and wiping. Air sampling data were found to be within the range of data reported in the literature. This study demonstrates the ability to use robots to simulate human exposures. It offers a systematic, efficient method for generating exposure data where gaps exist. This data can be used to validate or enhance models and improve health and safety risk assessments used for public health protection.
期刊介绍：
About the Journal
Annals of Work Exposures and Health is dedicated to presenting advances in exposure science supporting the recognition, quantification, and control of exposures at work, and epidemiological studies on their effects on human health and well-being. A key question we apply to submission is, "Is this paper going to help readers better understand, quantify, and control conditions at work that adversely or positively affect health and well-being?"
We are interested in high quality scientific research addressing:
the quantification of work exposures, including chemical, biological, physical, biomechanical, and psychosocial, and the elements of work organization giving rise to such exposures;
the relationship between these exposures and the acute and chronic health consequences for those exposed and their families and communities;
populations at special risk of work-related exposures including women, under-represented minorities, immigrants, and other vulnerable groups such as temporary, contingent and informal sector workers;
the effectiveness of interventions addressing exposure and risk including production technologies, work process engineering, and personal protective systems;
policies and management approaches to reduce risk and improve health and well-being among workers, their families or communities;
methodologies and mechanisms that underlie the quantification and/or control of exposure and risk.
There is heavy pressure on space in the journal, and the above interests mean that we do not usually publish papers that simply report local conditions without generalizable results. We are also unlikely to publish reports on human health and well-being without information on the work exposure characteristics giving rise to the effects. We particularly welcome contributions from scientists based in, or addressing conditions in, developing economies that fall within the above scope.
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