Self-modeling curve resolution by factor analysis of a continuous series of pyrolysis mass spectra

Willem Windig, E. Jakab, Joseph M. Richards, Henk L C Meuzelaar

Research output: Contribution to journalArticle

29 Citations (Scopus)

Abstract

A self-modeling technique for curve resolution of overlapping processes is presented. This method uses factor analysis combined with the variance diagram technique to resolve the total ion current (TIC) curves from time-resolved pyrolysis mass spectrometry data into chemical component curves and their spectra. Examples are presented of time-resolved pyrolysis mass spectrometry data from a biopolymer mixture (deoxyribonucleic acid, bovine serum albumin, and glycogen), douglas fir wood, and a rubber copolymer. The analysis of each of these samples resulted in the resolution of the TIC's into chemical component curves. The spectra corresponding to the chemical components were clearly similar to reference spectra.

Original languageEnglish
Pages (from-to)317-323
Number of pages7
JournalAnalytical Chemistry
Volume59
Issue number2
Publication statusPublished - 1987

Fingerprint

Factor analysis
Pyrolysis
Mass spectrometry
Biopolymers
Rubber
Bovine Serum Albumin
Glycogen
Wood
Copolymers
Ions
DNA

ASJC Scopus subject areas

  • Analytical Chemistry

Cite this

Self-modeling curve resolution by factor analysis of a continuous series of pyrolysis mass spectra. / Windig, Willem; Jakab, E.; Richards, Joseph M.; Meuzelaar, Henk L C.

In: Analytical Chemistry, Vol. 59, No. 2, 1987, p. 317-323.

Research output: Contribution to journalArticle

Windig, Willem ; Jakab, E. ; Richards, Joseph M. ; Meuzelaar, Henk L C. / Self-modeling curve resolution by factor analysis of a continuous series of pyrolysis mass spectra. In: Analytical Chemistry. 1987 ; Vol. 59, No. 2. pp. 317-323.
@article{403ab222f56b4744be7d003922116f17,
title = "Self-modeling curve resolution by factor analysis of a continuous series of pyrolysis mass spectra",
abstract = "A self-modeling technique for curve resolution of overlapping processes is presented. This method uses factor analysis combined with the variance diagram technique to resolve the total ion current (TIC) curves from time-resolved pyrolysis mass spectrometry data into chemical component curves and their spectra. Examples are presented of time-resolved pyrolysis mass spectrometry data from a biopolymer mixture (deoxyribonucleic acid, bovine serum albumin, and glycogen), douglas fir wood, and a rubber copolymer. The analysis of each of these samples resulted in the resolution of the TIC's into chemical component curves. The spectra corresponding to the chemical components were clearly similar to reference spectra.",
author = "Willem Windig and E. Jakab and Richards, {Joseph M.} and Meuzelaar, {Henk L C}",
year = "1987",
language = "English",
volume = "59",
pages = "317--323",
journal = "Analytical Chemistry",
issn = "0003-2700",
publisher = "American Chemical Society",
number = "2",

}

TY - JOUR

T1 - Self-modeling curve resolution by factor analysis of a continuous series of pyrolysis mass spectra

AU - Windig, Willem

AU - Jakab, E.

AU - Richards, Joseph M.

AU - Meuzelaar, Henk L C

PY - 1987

Y1 - 1987

N2 - A self-modeling technique for curve resolution of overlapping processes is presented. This method uses factor analysis combined with the variance diagram technique to resolve the total ion current (TIC) curves from time-resolved pyrolysis mass spectrometry data into chemical component curves and their spectra. Examples are presented of time-resolved pyrolysis mass spectrometry data from a biopolymer mixture (deoxyribonucleic acid, bovine serum albumin, and glycogen), douglas fir wood, and a rubber copolymer. The analysis of each of these samples resulted in the resolution of the TIC's into chemical component curves. The spectra corresponding to the chemical components were clearly similar to reference spectra.

AB - A self-modeling technique for curve resolution of overlapping processes is presented. This method uses factor analysis combined with the variance diagram technique to resolve the total ion current (TIC) curves from time-resolved pyrolysis mass spectrometry data into chemical component curves and their spectra. Examples are presented of time-resolved pyrolysis mass spectrometry data from a biopolymer mixture (deoxyribonucleic acid, bovine serum albumin, and glycogen), douglas fir wood, and a rubber copolymer. The analysis of each of these samples resulted in the resolution of the TIC's into chemical component curves. The spectra corresponding to the chemical components were clearly similar to reference spectra.

UR - http://www.scopus.com/inward/record.url?scp=0000389310&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0000389310&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:0000389310

VL - 59

SP - 317

EP - 323

JO - Analytical Chemistry

JF - Analytical Chemistry

SN - 0003-2700

IS - 2

ER -