Evidence map›Paper›PMID 24343931›Full record

ReviewIntegrated environmental assessment and management2014

Passive sampling methods for contaminated sediments: risk assessment and management.

Marc S Greenberg, Peter M Chapman, Ian J Allan, Kim A Anderson, Sabine E Apitz, Chris Beegan, Todd S Bridges, Steve S Brown, John G Cargill, Megan C McCulloch and 3 more

Open access · hybridAbstract readReview
In one paragraph

Review in Integrated environmental assessment and management, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
6.2field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 54 citations in OpenAlex.

  1. Guideline
  2. Investigation of Influences on Indoor and Outdoor SVOC Exposure.International journal of environmental research and public health · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Air-water exchange of PAHs and OPAHs at a superfund mega-site.The Science of the total environment · 2017
    Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Review
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 10 institutions in 3 countries.

Marc S GreenbergUSEPA Office of Superfund Remediation & Technology Innovation, Edison, New Jersey.
Peter M Chapman
Ian J Allan
Kim A Anderson
Sabine E Apitz
Chris Beegan
Todd S Bridges
Steve S Brown
John G Cargill
Megan C McCulloch
Charles A Menzie
James P Shine
Thomas F Parkerton
Delaware Department of Natural Resources and Environmental Control · USDow Chemical (United States) · USExponent (United States) · USExxonMobil (United States) · USGolder Associates (Canada) · CAHarvard University · USNorwegian Institute for Water Research · NOOregon State University · USSpringhouse · USU.S. Army Engineer Research and Development Center · US

Funding

Research Experience and Training Coordination CoreP42ES016465 · NIEHS · OREGON STATE UNIVERSITY · PI Robyn L Tanguay · 2009 to 2026
$52.5M
NIEHS NIH HHS P42 ES016465
6 · The paper itself

Abstract

This paper details how activity-based passive sampling methods (PSMs), which provide information on bioavailability in terms of freely dissolved contaminant concentrations (Cfree ), can be used to better inform risk management decision making at multiple points in the process of assessing and managing contaminated sediment sites. PSMs can increase certainty in site investigation and management, because Cfree is a better predictor of bioavailability than total bulk sediment concentration (Ctotal ) for 4 key endpoints included in conceptual site models (benthic organism toxicity, bioaccumulation, sediment flux, and water column exposures). The use of passive sampling devices (PSDs) presents challenges with respect to representative sampling for estimating average concentrations and other metrics relevant for exposure and risk assessment. These challenges can be addressed by designing studies that account for sources of variation associated with PSMs and considering appropriate spatial scales to meet study objectives. Possible applications of PSMs include: quantifying spatial and temporal trends in bioavailable contaminants, identifying and evaluating contaminant source contributions, calibrating site-specific models, and, improving weight-of-evidence based decision frameworks. PSM data can be used to assist in delineating sediment management zones based on likelihood of exposure effects, monitor remedy effectiveness, and, evaluate risk reduction after sediment treatment, disposal, or beneficial reuse after management actions. Examples are provided illustrating why PSMs and freely dissolved contaminant concentrations (Cfree ) should be incorporated into contaminated sediment investigations and study designs to better focus on and understand contaminant bioavailability, more accurately estimate exposure to sediment-associated contaminants, and better inform risk management decisions. Research and communication needs for encouraging broader use are discussed.

Indexed as

AnimalsEnvironmental MonitoringGeographyGeologic SedimentsHumansModels, StatisticalRisk AssessmentWater Pollutants, ChemicalWater Pollutants, ChemicalBioavailabilityContaminated sedimentsPassive sampling methodsRisk assessmentRisk management

Identifiers

PMID24343931
PMCPMC4070852
OpenAlexW1930006547

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.