Evidence map›Paper›PMID 39396779›Full record

ArticleThe Science of the total environment2024

Use of electron microscopy to determine presence of coal dust in a neighborhood bordering an open-air coal terminal in Curtis Bay, Baltimore, Maryland, USA.

Matthew A Aubourg, Kenneth J T Livi, Gregory G Sawtell, Carlos C Sanchez-Gonzalez, Nicholas J Spada, Russell R Dickerson, Wen-An Chiou, Conchita Kamanzi, Gurumurthy Ramachandran, Ana M Rule and 1 more

Abstract read
In one paragraph

Article in The Science of the total environment, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
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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

11 authors.

Matthew A AubourgCommunity Science and Innovation for Environmental Justice (CSI EJ) Initiative, Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, United States; Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, United States. Electronic address: maubour1@jh.edu.
Kenneth J T LiviMaterials Characterization and Processing, Department of Materials Science and Engineering, Johns Hopkins University, Baltimore, MD 21211, United States. Electronic address: klivi@jhu.edu.
Gregory G SawtellCommunity of Curtis Bay Association, Baltimore, MD 21226, United States; South Baltimore Community Land Trust, Baltimore, MD 21225, United States. Electronic address: greg@sbclt.org.
Carlos C Sanchez-GonzalezSouth Baltimore Community Land Trust, Baltimore, MD 21225, United States. Electronic address: carlos@sbclt.org.
Nicholas J SpadaAir Quality Research Center, University of California, Davis, CA 95616, United States. Electronic address: njspada@ucdavis.edu.
Russell R DickersonDepartment of Atmospheric and Oceanic Science, University of Maryland, College Park, MD 20742, United States. Electronic address: rrd@umd.edu.
Wen-An ChiouAdvanced Imaging and Microscopy Laboratory (AIM Lab), Maryland NanoCenter, University of Maryland, College Park, MD 20742, United States. Electronic address: wachiou@umd.edu.
Conchita KamanziDepartment of Chemical Engineering, Minerals to Metals Initiative, University of Cape Town, Cape Town, 7701, South Africa; Institute of Infectious Diseases and Molecular Medicine, University of Cape Town, 7925, South Africa. Electronic address: Conchita.Kamanzi@uct.ac.za.
Gurumurthy RamachandranDepartment of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, United States. Electronic address: gramach5@jhu.edu.
Ana M RuleDepartment of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, United States. Electronic address: arule1@jhu.edu.
Christopher D HeaneyCommunity Science and Innovation for Environmental Justice (CSI EJ) Initiative, Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, United States; Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, United States; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, United States; Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, United States. Electronic address: cheaney1@jhu.edu.

Funding

Targeted Research Training CoreT42OH008428 · OH · JOHNS HOPKINS UNIVERSITY · PI RAMACHANDRAN, GURUMURTHY · 2005 to 2025
$31.1M
Pilot Project ProgramP30ES032756 · NIEHS · JOHNS HOPKINS UNIVERSITY · PI Marsha Wills-Karp · 2022 to 2026
$6.0M
NIEHS NIH HHS P30 ES032756NIOSH CDC HHS T42 OH008428
6 · The paper itself

Abstract

backgroundDespite decreasing US consumption, over 90 million metric tons of coal were exported by the US in 2023, requiring significant infrastructure for transport, handling, and storage of coal at export terminals. Residents in Curtis Bay, Baltimore, Maryland, USA live at the fenceline of an open-air coal terminal and have, for decades, reported rapid accumulation of black dust at their homes. Community-level exposure to coal dust originating from coal handling and storage terminals has remained largely unexplored.

objectivesTo investigate community-identified concerns and use a community-driven approach to determine the presence/absence of coal dust on Curtis Bay surfaces.

methodsPassive settled dust samples were collected from two residential areas, 345 m and 1235 m from the coal terminal, using conductive carbon tape. Scanning electron microscopy and energy dispersive X-ray spectroscopy (SEM-EDX) of standard reference coal material and positive control material from the coal terminal in Curtis Bay were used to optimize the morphological and elemental classification criteria for coal dust. A manual SEM-EDX protocol was developed to identify coal particles in settled dust collected on conductive carbon tape in community settings.

resultsSEM-EDX analysis confirmed presence of coal dust sampled at both residential locations. Estimated coal dust particle loading at the proximal and distal site were 13.2 and 3.4 coal particles/mm DISCUSSION: These findings are consistent with longstanding community concerns and lived experiences regarding the presence of coal dust in Curtis Bay, which neighbors a major open-air coal terminal. This approach has potential for other communities neighboring coal terminals to assess similar concerns with residential coal dust exposure.

Indexed as

Coal dustCoal terminalCommunity-driven researchDust characterizationEnvironmental justiceSEM-EDX

Identifiers

PMID39396779
PMCPMC11698221

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.