Evidence map›Paper›PMID 27313978›Full record

ArticleMass spectrometry (Tokyo, Japan)2016

Identification of Anthropogenic Compounds in Urban Environments and Evaluation of Automated Methods for Reading Fragmentation-A Case of River Water.

Atsushi Yamamoto, Naoko Matsumoto, Hideya Kawasaki, Ryuichi Arakawa

Abstract read
In one paragraph

Article in Mass spectrometry (Tokyo, Japan), 2016. 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

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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

4 authors.

Atsushi YamamotoOsaka City Institute of Public Health and Environmental Sciences; Kansai University; Tottori University of Environmental Studies.
Naoko MatsumotoKansai University.
Hideya KawasakiKansai University.
Ryuichi ArakawaKansai University.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A workflow based on liquid chromatography/high-resolution mass spectrometry (LC/HR-MS) was applied for the identification of compounds in urban environments. Substances extracted by solid-phase extraction from river water were wholly analyzed by LC/HR-MS without any purification. Fragmentation in collision-induced dissociation was manually studied for the 20 most intense ions in positive- and negative-ion electrospray ionization with accurate mass determination at a resolution of 100,000. Sixteen anthropogenic compounds in the extract were identified and confirmed using standard reference reagents. These compounds consisted of pharmaceuticals, surfactants, flame retardants, and industrial intermediates. The majority of the compounds are common in our daily life. In the identification process, two automated methods, MAGMa and MetFrag/MetFusion, for reading fragmentation were evaluated for the sixteen compounds. Although automated methods could be used to retrieve the correct molecular structures in most cases, they could not always be promoted to the top rank. Automated methods have yet to be a complete solution for identifying chemical compounds, but will considerably reduce the burden for humans in reading fragmentation.

Indexed as

environmental analysisfragmentationhigh-resolution mass spectrometryurban environment

Identifiers

PMID27313978
PMCPMC4894824

What OpenQuestion holds

Textmetadata
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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.