Evidence map›Paper›PMID 34419473›Full record

ArticleEnvironmental research2022

Biosensor applications in contaminated estuaries: Implications for disaster research response.

Krisa Camargo, Mary Ann Vogelbein, Jennifer A Horney, Timothy M Dellapenna, Anthony H Knap, Jose L Sericano, Terry L Wade, Thomas J McDonald, Weihsueh A Chiu, Michael A Unger

Abstract read
In one paragraph

Article in Environmental research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Adapting to Climate Change: Leveraging Systems-Focused Multidisciplinary Research to Promote Resilience.International journal of environmental research and public health · 2022
    Review
  7. 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.

Krisa CamargoDepartment of Veterinary Integrative Biosciences - Interdisciplinary Faculty of Toxicology (IFT), Texas A&M University, College Station, TX, 77843, USA; Texas A&M University Geochemical and Environmental Research Group, College Station, TX, 77845, USA.
Mary Ann VogelbeinDepartment of Aquatic Health Sciences, Virginia Institute of Marine Science, William & Mary, Gloucester Point, VA, 23062, USA.
Jennifer A HorneyEpidemiology Program, University of Delaware, Newark, DE, 19716, USA.
Timothy M DellapennaDepartment of Marine and Coastal Environmental Science, Texas A&M University Galveston, Galveston, TX, 77554, USA.
Anthony H KnapDepartment of Veterinary Integrative Biosciences - Interdisciplinary Faculty of Toxicology (IFT), Texas A&M University, College Station, TX, 77843, USA; Texas A&M University Geochemical and Environmental Research Group, College Station, TX, 77845, USA.
Jose L SericanoDepartment of Veterinary Integrative Biosciences - Interdisciplinary Faculty of Toxicology (IFT), Texas A&M University, College Station, TX, 77843, USA; Texas A&M University Geochemical and Environmental Research Group, College Station, TX, 77845, USA.
Terry L WadeDepartment of Veterinary Integrative Biosciences - Interdisciplinary Faculty of Toxicology (IFT), Texas A&M University, College Station, TX, 77843, USA; Texas A&M University Geochemical and Environmental Research Group, College Station, TX, 77845, USA.
Thomas J McDonaldDepartment of Veterinary Integrative Biosciences - Interdisciplinary Faculty of Toxicology (IFT), Texas A&M University, College Station, TX, 77843, USA; School of Public Health, Texas A&M University, College Station, TX, 77843, USA.
Weihsueh A ChiuDepartment of Veterinary Integrative Biosciences - Interdisciplinary Faculty of Toxicology (IFT), Texas A&M University, College Station, TX, 77843, USA.
Michael A UngerDepartment of Aquatic Health Sciences, Virginia Institute of Marine Science, William & Mary, Gloucester Point, VA, 23062, USA. Electronic address: munger@vims.edu.

Funding

Single cell, multi-parametric high throughput platform to classify endocrine disruptor potential of mixturesP42ES027704 · NIEHS · TEXAS A&M UNIVERSITY · PI Weihsueh A Chiu · 2017 to 2026
$21.2M
Texas A&M Center for Environmental Health Research (TiCER)P30ES029067 · NIEHS · TEXAS A&M UNIVERSITY · PI Galen Newman · 2019 to 2026
$13.0M
Regulatory Science in Environmental Health and ToxicologyT32ES026568 · NIEHS · TEXAS A&M UNIVERSITY · PI Weihsueh A Chiu, Natalie M Johnson · 2016 to 2026
$3.8M
Impact of Groundwater-Surface Water Dynamics on in situ Remediation Efficacy andR01ES024245 · NIEHS · VIRGINIA INSTITUTE OF MARINE SCIENCE · PI BECK, AARON, UNGER, MICHAEL · 2015 to 2019
$850k
NIEHS NIH HHS P30 ES029067NIEHS NIH HHS P42 ES027704NIEHS NIH HHS R01 ES024245NIEHS NIH HHS T32 ES026568
6 · The paper itself

Abstract

backgroundGiven the time and monetary costs associated with traditional analytical chemistry, there remains a need to rapidly characterize environmental samples for priority analysis, especially within disaster research response (DR2). As PAHs are both ubiquitous and occur as complex mixtures at many National Priority List sites, these compounds are of interest for post-disaster exposures.

objectiveThis study tests the field application of the KinExA Inline Biosensor in Galveston Bay and the Houston Ship Channel (GB/HSC) and in the Elizabeth River, characterizing the PAH profiles of these region's soils and sediments. To our knowledge, this is the first application of the biosensor to include soils.

methodsThe biosensor enables calculation of total free PAHs in porewater (C free), which is confirmed through gas chromatography-mass spectrometry (GC-MS) analysis. To determine potential risk of the collected soils the United States Environmental Protection (USEPA) Agency's Regional Screening Level (RSL) Calculator is used along with the USEPA Region 4 Ecological Screening Values (R4-ESV) and Refined Screening Values (R4-RSV).

resultsBased on GC-MS results, all samples had PAH-related hazard indices below 1, indicating low noncarcinogenic risks, but some samples exceeded screening levels for PAH-associated cancer risks. Combining biosensor-based C free with Total Organic Carbon yields predictions highly correlated (r > 0.5) both with total PAH concentrations as well as with hazard indices and cancer risks. Additionally, several individual parent PAH concentrations in both the GB/HSC and Elizabeth River sediments exceeded the R4- ESV and R4-RSV values, indicating a need for follow-up sediment studies.

conclusionsThe resulting data support the utility of the biosensor for future DR2 efforts to characterize PAH contamination, enabling preliminary PAH exposure risk screening to aid in prioritization of environmental sample analysis.

Indexed as

Biosensing TechniquesDisastersPolycyclic Aromatic HydrocarbonsWater Pollutants, ChemicalEnvironmental MonitoringEstuariesGeologic SedimentsPolycyclic Aromatic HydrocarbonsWater Pollutants, ChemicalBiosensorDR2PAHsPorewaterScreening

Identifiers

PMID34419473
PMCPMC8639622

What OpenQuestion holds

Textmetadata
LicenceTDM
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.