Record Details

Predicting Polycyclic Aromatic Hydrocarbon Concentrations in Resident Aquatic Organisms Using Passive Samplers and Partial Least-Squares Calibration

ScholarsArchive at Oregon State University

Field Value
Title Predicting Polycyclic Aromatic Hydrocarbon Concentrations in Resident Aquatic Organisms Using Passive Samplers and Partial Least-Squares Calibration
Names Forsberg, Norman D. (creator)
Smith, Brian W. (creator)
Sower, Greg J. (creator)
Anderson, Kim A. (creator)
Date Issued 2014-05-07 (iso8601)
Note This is the publisher’s final pdf. The published article is copyrighted by the American Chemical Society and can be found at: http://pubs.acs.org/journal/esthag.
Abstract The current work sought to develop predictive
models between time-weighted average polycyclic aromatic
hydrocarbon (PAH) concentrations in the freely dissolved
phase and those present in resident aquatic organisms. We
deployed semipermeable membrane passive sampling devices
(SPMDs) and collected resident crayfish (Pacifastacus
leniusculus) at nine locations within and outside of the
Portland Harbor Superfund Mega-site in Portland, OR.
Study results show that crayfish and aqueous phase samples
collected within the Mega-site had PAH profiles enriched in
high molecular weight PAHs and that freely dissolved PAH
profiles tended to be more populated by low molecular weight
PAHs compared to crayfish tissues. Results also show that of
several modeling approaches, a two-factor partial least-squares (PLS) calibration model using detection limit substitution
provided the best predictive power for estimating PAH concentrations in crayfish, where the model explained ≥72% of the
variation in the data set and provided predictions within ∼3× of measured values. Importantly, PLS calibration provided a means
to estimate PAH concentrations in tissues when concentrations were below detection in the freely dissolved phase. The impact of
measurements below detection limits is discussed.
Genre Article
Identifier Forsberg, N. D., Smith, B. W., Sower, G. J., & Anderson, K. A. (2014). Predicting polycyclic aromatic hydrocarbon concentrations in resident aquatic organisms using passive samplers and partial least squares calibration. Environmental Science & Technology, 48(11), 6291-6299. doi:10.1021/es5000534

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