Scientist in lab gear assessing substance for TSCA chemical assessments

EPA Releases New Default Values for TSCA Chemical Assessments to Help Labs Strengthen Compliance

EPA publishes key default assumptions for new chemical reviews, giving labs clearer visibility into exposure modeling and regulatory expectations

Written byMichelle Gaulin
| 2 min read
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The US Environmental Protection Agency has published new default assumptions for TSCA chemical assessments, providing laboratories with clearer insight into how the agency models environmental releases and worker exposure when reviewing new chemicals. These EPA default values are numeric inputs applied when chemical-specific data are unavailable or unverified. Their publication offers laboratories, chemical manufacturers, and EHS teams greater transparency into chemical exposure modeling under TSCA section 5. It may help reduce submission delays caused by incomplete or misaligned data packages.

Because many research laboratories contribute to regulatory submissions, support chemical characterization, or manage new substance workflows, EPA’s new reference guide delivers practical value for compliance planning and internal risk evaluation.

How EPA default values support new chemical reviews

EPA uses default assumptions to estimate workplace exposures and environmental releases when applicants do not provide substantiated data. These EPA default values cover areas such as process equipment residue, container types, cleaning practices, and potential release points throughout a chemical’s lifecycle. Under TSCA chemical assessments, these assumptions help standardize chemical exposure modeling and ensure that chemicals are reviewed consistently across sectors.

The new guide draws on three established sources:

EPA is hosting the resource in the New Chemicals Division Reference Library, where it will be updated as the agency incorporates new industry data. EPA notes that submitting higher-quality information aligned with these assumptions may reduce rework and improve review efficiency for laboratories and manufacturers involved in TSCA submissions.

What the default values mean for laboratory operations

Labs that support early-stage chemical research or regulatory submissions may find the new assumptions helpful for modeling their own workflows. For example, understanding the equipment-residue assumptions used in TSCA chemical assessments allows EHS teams to compare internal practices with the agency’s modeled expectations. Similarly, clarifying chemical exposure modeling inputs—such as transfer losses, container handling, and cleaning processes—may help labs evaluate engineering controls or identify where additional data could strengthen a regulatory filing.

Because these EPA default values represent generalized scenarios, laboratories with specialized or nonstandard processes may choose to submit representative data to help EPA refine future iterations of the guide.

How lab managers can use this information

For lab managers, the newly released assumptions provide a practical reference for aligning operations with regulatory expectations. Teams responsible for documentation or data generation can tailor submissions to match EPA’s modeling inputs, reducing the likelihood of delays. EHS managers can use the assumptions to proactively evaluate exposure risks, ventilation requirements, or waste-handling procedures.

When partnering with chemical manufacturers, shared visibility into TSCA chemical assessments and the underlying EPA default values supports more coordinated data development and reduces uncertainty during joint submissions. As EPA continues to update the guide, labs have an opportunity to provide operational insights that shape the future of chemical exposure modeling.

This article was created with the assistance of Generative AI and has undergone editorial review before publishing.

About the Author

  • Headshot photo of Michelle Gaulin

    Michelle Gaulin is an associate editor for Lab Manager. She holds a bachelor of journalism degree from Toronto Metropolitan University in Toronto, Ontario, Canada, and has two decades of experience in editorial writing, content creation, and brand storytelling. In her role, she contributes to the production of the magazine’s print and online content, collaborates with industry experts, and works closely with freelance writers to deliver high-quality, engaging material.

    Her professional background spans multiple industries, including automotive, travel, finance, publishing, and technology. She specializes in simplifying complex topics and crafting compelling narratives that connect with both B2B and B2C audiences.

    In her spare time, Michelle enjoys outdoor activities and cherishes time with her daughter. She can be reached at mgaulin@labmanager.com.

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