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Research Roundup: Risk Assessment 2 (AIHce EXP 2022 OnDemand)
Course Description:
Recorded at AIHce EXP 2022

Presentations

Pigment Violet 29 — EPA's Process of Determining Unreasonable Risk Due to Worker Exposure

In January 2021, EPA published its Risk Evaluation for C.I. Pigment Violet 29 (PV29) with the finding of "unreasonable risk" associated with the manufacture, processing, industrial/commercial use and disposal of PV29. This finding was due to workplace inhalation of PV29. The exposure assessment included an approach that was ordered by EPA to fill a critical gap. A test order, the first issued by EPA under TSCA amendments, required a method with high limits of quantification (LOQ) that could not differentiate between PV29 and other particulate (NIOSH 0600). PV29 is produced in a batch process, with intermittent and short-term contact with the material. When not using PV29, workers perform other tasks with exposure to different particulates. The risk assessment assumed 10.5 hours of continuous exposure to PV29 at concentrations derived from highest measured concentration from a previous study. Almost every risk assessment completed under the 2016 TSCA amendments has found "unreasonable risk" based on workplace exposure. PV29 is one of several finding such risk solely due to worker exposures. Incorporating worker exposure into EPA risk assessments under TSCA will have broad implications for IH profession, including the need to implement reliable assessments that accurately characterize exposure and risk.

Task-Based Exposure Assessment Using Data Generated During Robotic Simulation of Human Spraying
In 2012, the Committee on Human and Environmental Exposure Science in the 21st Century identified the importance of collecting higher-quality exposure data to enable more precise information for risk estimates and improved public health protection. Personal exposure monitoring data is often considered the most accurate for conducting exposure/risk assessment. This type of data is often lacking, particularly for general population (consumer) activities as well as infrequent worker tasks. The use of robotics offers the ability to collect exposure data in a cost-effective and systematic way. This method will eliminate concerns with regards to intentional exposure and data privacy, while controlling for inter- and intra-human variability. In this study we demonstrate that a robotic arm can be used to mimic human use of two commercial spray products: a fabric crafts protector and a glass cleaner. While the robot used these products, air sampling data was collected and compared to model estimates and published exposure data. The work presented here will highlight how IHs, exposure scientists, and other public health professionals can use robotics to collect exposure data in a cost-effective and systematic way.

Presentation Date:
05/23/2022

Presenters:
Alan Rossner Ph, PhD, CIH
Robert Rottersman, MS, CIH
Jennifer Shin, CIH, MHS

Session recordings are available for 90 days from purchase.


Stock #: AOD22_C2
ISBN #: 
Author/Editor: 

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