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Dimensionality-reduction techniques for complex mass spectrometric datasets: application to laborato...

Dimensionality-reduction techniques for complex mass spectrometric datasets: application to laborato...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9db5158b49ff495ab8871d96bed5561d

Dimensionality-reduction techniques for complex mass spectrometric datasets: application to laboratory atmospheric organic oxidation experiments

About this item

Full title

Dimensionality-reduction techniques for complex mass spectrometric datasets: application to laboratory atmospheric organic oxidation experiments

Publisher

Germany: Copernicus GmbH

Journal title

Atmospheric chemistry and physics, 2020-01, Vol.20 (2), p.1021-1041

Language

English

Formats

Publication information

Publisher

Germany: Copernicus GmbH

More information

Scope and Contents

Contents

Oxidation of organic compounds in the atmosphere produces an immensely complex mixture of product species, posing a challenge for both their measurement in laboratory studies and their inclusion in air quality and climate models. Mass spectrometry techniques can measure thousands of these species, giving insight into these chemical processes, but t...

Alternative Titles

Full title

Dimensionality-reduction techniques for complex mass spectrometric datasets: application to laboratory atmospheric organic oxidation experiments

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_9db5158b49ff495ab8871d96bed5561d

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9db5158b49ff495ab8871d96bed5561d

Other Identifiers

ISSN

1680-7316,1680-7324

E-ISSN

1680-7324

DOI

10.5194/acp-20-1021-2020

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