Model Predicts PAH Levels in Important Tribal Food Source episode artwork

EPISODE · Jul 10, 2019 · 6 MIN

Model Predicts PAH Levels in Important Tribal Food Source

from NIEHS Superfund Research Program - Research Brief Podcasts · host Superfund Research Program

A sediment passive sampling model can be used to accurately predict the concentration of polycyclic aromatic hydrocarbons (PAHs) in butter clams, according to a recent Superfund Research Program (SRP) study. Led by Kim Anderson, Ph.D., of the Oregon State University (OSU) SRP Center, the research team worked closely with tribal leaders to better predict PAH levels in butter clams while having a minimal impact on this important resource.

Episode metadata supplied by the publisher feed · Published Jul 10, 2019

Embed this episode

NOW PLAYING

Model Predicts PAH Levels in Important Tribal Food Source

0:00 6:06

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

No similar episodes found.

No similar podcasts found.

Frequently Asked Questions

How long is this episode of NIEHS Superfund Research Program - Research Brief Podcasts?

This episode is 6 minutes long.

When was this NIEHS Superfund Research Program - Research Brief Podcasts episode published?

This episode was published on July 10, 2019.

Can I download this NIEHS Superfund Research Program - Research Brief Podcasts episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.
URL copied to clipboard!