Structured Deterministic Model (SDM 2.0)™
An Excel-based, user-friendly tool for estimating airborne concentrations that represent potential occupational inhalation exposure to volatile and semi-volatile chemicals and chemical mixtures, aerosols, particulates, and fibers.
Applications
- Increase exposure and risk management accuracy and productivity in applications such as:
- Regulatory compliance assessments
- Comprehensive exposure and risk management programs
- New chemical and process change reviews
- Batch processing
- Assessment of exposures for varying compositions, e.g., fuel
- Emergency planning
- Exposure reconstruction to evaluate historical exposures, such as those associated with investigations of incidences, illness clustering, epidemiology or toxic tort cases.
Key Benefits & Differentiators
- Higher Accuracy: Provides a highly reliable, point estimate of the 95th percentile value of an exposure distribution that can be compared to an occupational exposure limit (OEL).
- Eliminates Negative Bias: Avoids the negative bias typical of subjective estimates or judgments based on a very small number of exposure measurements.
- Highly Visual Reporting: Includes a highly visual, interactive report dashboard that saves the inputs and outputs as a 1-page PDF report.
- Interactive Teaching Tool: Allows users to evaluate the real-time impact of different exposure control options on workplace exposure and health risk.
- Robust Chemical Database: Features a built-in chemical database of over 600 chemicals to auto-populate physical properties, alongside a custom database option for user-specific chemicals.
Technology Overview
Subjective approaches have been traditionally used by industrial hygienists to estimate exposure to workers. These subjective approaches provide inaccurate estimates, resulting in significant underestimation of exposures. Another common approach used by hygienists is to base exposure estimates on a very small number of exposure measurements, an approach that also negatively biases exposure assessment judgments, leading to underestimating worker exposures.
Led by researchers at the University of Minnesota, the SDM 2.0™ team has developed an Excel-based, user-friendly tool for estimating airborne concentrations that represent potential occupational inhalation exposure to volatile and semi-volatile chemicals and chemical mixtures, aerosols, particulates, and fibers. It provides a point estimate of the 95th percentile value of an exposure distribution that can be compared to an occupational exposure limit, as a measure of health risk for a worker or group of workers. It improves the accuracy with which airborne concentrations of chemicals and chemical mixtures that represent potential worker exposure in work environments are estimated. SDM 2.0™ is also a teaching tool. With its highly visual, interactive report dashboard, this tool allows users to evaluate the impact of different exposure control options on exposure and health risk.
Phase of Development
TRL: 5-6SDM 2.0 Premier- QA/QC testing completed, Beta testing completed
Licensing Options
We offer two editions of SDM 2.0™ to fit your organization's mission and scale of use: the Standard Edition (available free of charge for non-commercial, non-profit, and academic use) and the Premium Edition (for-profit, corporate, or commercial consulting use).
1. Standard Edition Academic, Non-Profit, Non-Commercial License Price: $0 USD (Free of Charge)
- Term: 1 Year (Renewable) Eligible
- Users: Students, teachers, or researchers at academic institutions or registered non-profit research organizations, as well as individuals using the tool for strictly non-commercial intent.
2. Premium Edition
- Premium Edition - Individual User License * Price: $1,500
- Term: 5 Year (Renewable) Eligible
- Users: Ideal for an external independent consultant or a single internal EHS professional representing a commercial, for-profit entity.
- Premium Edition - Enterprise License * Price: $25,000
- Term: 5 Year (Renewable) Eligible
- Users: A team- or enterprise-scale license that covers all users within a corporate or consulting organization under a single agreement.
Desired Partnerships
This technology is now available for:- License
- Sponsored research
- Co-development
Please contact our office to share your business’ needs and learn more.
Researchers
- Susan F. Arnold Associate Professor with Tenure, Division of Environmental Health Sciences
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expand_more library_books References (2)
- Susan F. Arnold, Mark Stenzel, Daniel Drolet, and Gurumurthy Ramachandran , Using checklists and algorithms to improve qualitative exposure judgment accuracy, J Occup Environ Hyg
- Puleng Moshele , Mark R Stenzel , Daniel Drolet , Susan F Arnold (2024), Comparing Antoine parameter sources for accurate vapor pressure prediction across a range of temperatures, Annals of Work Exposures and Health, 68, 409–419
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expand_more cloud_download Supporting documents (1)Product brochureStructured Deterministic Model (SDM 2.0)™.pdfAdditional files may be available once you've completed the transaction for this product. If you've already done so, please log into your account and visit My account / Downloads section to view them.