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The Kendrick analysis for polymer mass spectrometry
Author(s) -
Fouquet Thierry N. J.
Publication year - 2019
Publication title -
journal of mass spectrometry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.475
H-Index - 121
eISSN - 1096-9888
pISSN - 1076-5174
DOI - 10.1002/jms.4247
Subject(s) - deconvolution , chemistry , feature (linguistics) , polymer , moiety , mass spectrometry , mass spectrum , analyte , polymer science , analytical chemistry (journal) , organic chemistry , chromatography , computer science , algorithm , linguistics , philosophy
This month's Special Feature is authored by Thierry Fouquet from the Research Institute for Sustainable Chemistry, Tsukuba, Japan. Dr. Fouquet provides a very readable and well‐illustrated introduction to Kendrick plots and their utility as a data processing tool for visualizing, filtering and assigning congested mass spectra. The Kendrick (mass defect) analysis was first introduced some 60 years ago and was applied to polymer ions where it was used to produce a visual, two‐dimensional map of spectra. It provides intuitive alignments of the repetitive patterns and deconvolution of features that are otherwise overlaid in a one‐dimensional mass spectrum. This Special Feature article reports on an updated and theoretically sound application of Kendrick plots for de novo data processing. Dr Fouquet focuses his Special Feature on applications to polymer analysis, but also extends his discussion to polymers present as pollutants/contaminants, and to other analytes incorporating a repetitive moiety, for example, oils and lipids.