Evidence map›Paper›PMID 23092966›Full record

ArticleAnalytical and bioanalytical chemistry2013

Identifying indoor environmental patterns from bioaerosol material using HPLC.

Sarah J R Staton, Josemar A Castillo, Thomas J Taylor, Pierre Herckes, Mark A Hayes

Abstract read
In one paragraph

Article in Analytical and bioanalytical chemistry, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Sarah J R StatonDepartment of Chemistry and Biochemistry, Arizona State University, Tempe, AZ 85281, USA.
Josemar A Castillo
Thomas J Taylor
Pierre Herckes
Mark A Hayes

Funding

PLATFORM FOR ISOLATION AND CONCENTRATION OF BIOMARKERSR21EB010191 · NIBIB · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI HAYES, MARK A · 2010 to 2011
$407k
Isolating Viral Particles from Whole BloodR03AI094193 · NIAID · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI HAYES, MARK A, HOGUE, BRENDA G. · 2012 to 2013
$138k
Pathogen Isolation and Concentration for Phenotypic SubtypingR03AI099740 · NIAID · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI HAYES, MARK A · 2012 to 2013
$138k
NIAID NIH HHS 1R03AI094193-01NIAID NIH HHS 1R03AI099740-01NIAID NIH HHS R03 AI094193NIAID NIH HHS R03 AI099740NIBIB NIH HHS R21 EB010191NIBIB NIH HHS R21EB010191-01A1
6 · The paper itself

Abstract

A substantial portion of the atmospheric particle budget is of biological origin (human and animal dander, plant and insect debris, etc.). These bioaerosols can be considered information-rich packets of biochemical data specific to the organism of origin. In this study, bioaerosol samples from various indoor environments were analyzed to create identifiable patterns attributable to a source level of occupation. Air samples were collected from environments representative of human high-traffic- and low-traffic indoor spaces along with direct human skin sampling. In all settings, total suspended particulate matter was collected and the total aerosol protein concentration ranged from 0.03 to 1.2 μg/m(3). High performance liquid chromatography was chosen as a standard analysis technique for the examination of aqueous aerosol extracts to distinguish signatures of occupation compared to environmental background. The results of this study suggest that bioaerosol "fingerprinting" is possible with the two test environments being distinguishable at a 97% confidence interval.

Indexed as

AerosolsAir PollutantsAir Pollution, IndoorChromatography, High Pressure LiquidEnvironmental MonitoringEquipment DesignHumansParticle SizeParticulate MatterProteinsSkinTime FactorsAerosolsAir PollutantsParticulate MatterProteins

Identifiers

PMID23092966
PMCPMC3537838

What OpenQuestion holds

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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.