Open AccessEvaluating the Benefits of Data Fusion and PARAFAC for the Chemometric Analysis of FT-ICR MS Data Sets from Gas Oil Samples
Author(s) -
Julie Guillemant,
Marion Lacoue-Nègre,
Alexandra BerliozBarbier,
Luís P. de Oliveira,
Florian Albrieux,
J.P. Joly,
Ludovic Duponchel
Publication year - 2020
Publication title -
energy and fuels
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.861
H-Index - 186
eISSN - 1520-5029
pISSN - 0887-0624
DOI - 10.1021/acs.energyfuels.0c01104
Subject(s) - principal component analysis , chemistry , mass spectrometry , sensor fusion , multivariate statistics , multivariate analysis , chemometrics , analytical chemistry (journal) , ionization , photoionization , data mining , chromatography , computer science , statistics , artificial intelligence , mathematics , ion , organic chemistry
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