Evidence map›Paper›PMID 35349191›Full record

ArticleEnvironmental toxicology and chemistry2022

Interlaboratory Comparison of Three Sediment Bioaccumulation Tests.

Guilherme R Lotufo, James M Biedenbach, J Daniel Farrar, Michael K Chanov, Brian W Hester, C Ryan Warbritton, Jeffery A Steevens, Jenifer M Netchaev, Anthony J Bednar, David W Moore

Open access · hybridAbstract read
In one paragraph

Article in Environmental toxicology and chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 45% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
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

10 authors at 3 institutions in 2 countries.

Guilherme R LotufoUS Army Engineer Research and Development Center, Vicksburg, Mississippi, USA.ORCID 0000-0002-1640-1752
James M BiedenbachUS Army Engineer Research and Development Center, Vicksburg, Mississippi, USA.
J Daniel FarrarUS Army Engineer Research and Development Center, Vicksburg, Mississippi, USA.
Michael K ChanovEA Engineering, Science, and Technology, Sparks, Maryland, USA.
Brian W HesterEcoAnalysts, Port Gamble, Washington, USA.
C Ryan WarbrittonUS Geological Survey, Columbia Environmental Research Center, Columbia, Missouri, USA.
Jeffery A SteevensUS Geological Survey, Columbia Environmental Research Center, Columbia, Missouri, USA.
Jenifer M NetchaevUS Army Engineer Research and Development Center, Vicksburg, Mississippi, USA.
Anthony J BednarUS Army Engineer Research and Development Center, Vicksburg, Mississippi, USA.
David W MooreUS Army Engineer Research and Development Center, Vicksburg, Mississippi, USA.
U.S. Army Engineer Research and Development Center · USUnited States Geological Survey · USSparks · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Standard bioaccumulation tests are commonly conducted using Macoma nasuta (clam), and Alitta virens (polychaete) for marine tests, and Lumbriculus variegatus (an oligochaete) for freshwater tests. Because the interlaboratory variability associated with these tests is unknown, four experienced laboratories conducted standard 28-day bioaccumulation tests with the above species using sediments contaminated with polychlorinated biphenyls (PCBs) and polycyclic aromatic hydrocarbons (PAHs). Chemical analysis of tissue samples was performed by a single laboratory. The intralaboratory variance among replicates was relatively low for PCB tissue concentrations, with coefficients of variation (CVs) ranging from 9% to 28% for all laboratories and species, with the exception of one laboratory reporting higher variability for L. variegatus (CV = 51%). Intralaboratory variance for PCB tissue concentrations was higher than interlaboratory variance for A. virens and L. variegatus, and the magnitude of difference (MOD) for laboratory means ranged from 1.4 to 2.0 across species. Intralaboratory variability was also low for lipid content, and lipid normalization of PCB and PAH body residues generally had little impact on variability. In addition to variability across bioassay laboratories, analytical variability was evaluated by different laboratories measuring the concentration of PCBs and total lipids in a subsample of tissue homogenate of sediment-exposed test organisms. Variability associated with tissue analysis was higher than bioassay laboratory variability only in tests with L. variegatus. Statistical differences between samples may be observed due to the low intralaboratory variability; however, the biological significance of these differences may be limited because the MOD is low. Considering the MOD when comparing bioaccumulation across treatments accounts for uncertainty related to inherent variability of the test in the interpretation of statistically significant results. Environ Toxicol Chem 2022;41:1260-1275. © 2022 The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC. This article has been contributed to by US Government employees and their work is in the public domain in the USA.

Indexed as

BivalviaOligochaetaPolychlorinated BiphenylsWater Pollutants, ChemicalAnimalsBioaccumulationGeologic SedimentsLipidsLipidsPolychlorinated BiphenylsWater Pollutants, ChemicalAlitta virensBenthic macroinvertebratesBioaccumulationLumbriculus variegatusMacoma nasutaPolychlorinated biphenylsSediment assessment

Identifiers

PMID35349191
PMCPMC9310598
OpenAlexW4220984241

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.