Evidence map›Paper›PMID 25574151›Full record

ArticleAtmospheric environment (Oxford, England : 1994)2014

Time-resolved Characterization of Particle Associated Polycyclic Aromatic Hydrocarbons using a newly-developed Sequential Spot Sampler with Automated Extraction and Analysis.

Arantzazu Eiguren Fernandez, Gregory S Lewis, Steven R Spielman, Susanne V Hering

Abstract read
In one paragraph

Article in Atmospheric environment (Oxford, England : 1994), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Design and Laboratory Evaluation of a Sequential Spot Sampler for Time-Resolved Measurement of Airborne Particle Composition.Aerosol science and technology : the journal of the American Association for Aerosol Research · 2014
    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

4 authors.

Arantzazu Eiguren FernandezAerosol Dynamics Inc., 935 Grayson St., Berkeley, CA, phone: +1 (510) 649-9360, fax: +1 (510) 649-9361.
Gregory S LewisAerosol Dynamics Inc., 935 Grayson St., Berkeley, CA, phone: +1 (510) 649-9360, fax: +1 (510) 649-9361.
Steven R SpielmanAerosol Dynamics Inc., 935 Grayson St., Berkeley, CA, phone: +1 (510) 649-9360, fax: +1 (510) 649-9361.
Susanne V HeringAerosol Dynamics Inc., 935 Grayson St., Berkeley, CA, phone: +1 (510) 649-9360, fax: +1 (510) 649-9361.

Funding

A Compact Instrument for Time-Resolved Airborne Particle ChemistryRC3ES019081 · NIEHS · AEROSOL DYNAMICS, INC. · PI HERING, SUSANNE VERA · 2010 to 2010
$2.7M
NIEHS NIH HHS RC3 ES019081
6 · The paper itself

Abstract

A versatile and compact sampling system, the Sequential Spot Sampler (S3) has been developed for pre-concentrated, time-resolved, dry collection of fine and ultrafine particles. Using a temperature-moderated laminar flow water condensation method, ambient particles as small as 6 nm are deposited within a dry, 1-mm diameter spot. Sequential samples are collected on a multiwell plate. Chemical analyses are laboratory-based, but automated. The sample preparation, extraction and chemical analysis steps are all handled through a commercially-available, needle-based autosampler coupled to a liquid chromatography system. This automation is enabled by the small deposition area of the collection. The entire sample is extracted into 50-100μl volume of solvent, providing quantifiable samples with small collected air volumes. A pair of S3 units was deployed in Stockton (CA) from November 2011 to February 2012. PM

Indexed as

ambient particulate matterpolycyclic aromatic hydrocarbonssequential spot samplertime-resolved chemical speciation

Identifiers

PMID25574151
PMCPMC4283846

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.