Pyrolysis Mass Spectrometry and Multivariate Analysis of Several Key World Oil Shale Kerogens and Some Recent Alginites

2008 ◽  
pp. 81-81-25 ◽  
Author(s):  
HLC Meuzelaar ◽  
W Windig ◽  
JH Futrell ◽  
AM Harper ◽  
SR Larter
Keyword(s):  
Mass Spectrometry ◽  
Multivariate Analysis ◽  
Oil Shale ◽  
Pyrolysis Mass Spectrometry

Characterization of U.S. lignites by pyrolysis mass spectrometry and multivariate analysis

1987 ◽  
Vol 7 (3) ◽  
pp. 245-268 ◽  
Author(s):  
G. Steven Metcalf ◽  
Willem Windig ◽  
George R. Hill ◽  
Henk L.C. Meuzelaar
Keyword(s):  
Mass Spectrometry ◽  
Multivariate Analysis ◽  
Pyrolysis Mass Spectrometry

scholarly journals Evaluation of a Tobacco Fractionation Procedure Using Pyrolysis Mass Spectrometry Combined with Multivariate Analysis

1989 ◽  
Vol 14 (5) ◽  
pp. 261-282 ◽  
Author(s):  
MA Scheijen ◽  
B Brandt-de Boer ◽  
JJ Boon ◽  
W Hass ◽  
V Heemann
Keyword(s):  
Mass Spectrometry ◽  
Multivariate Analysis ◽  
Lignin Content ◽  
Chemical Constituents ◽  
Mass Spectrometric ◽  
Hot Water ◽  
Resolving Power ◽  
Klason Lignin ◽  
Pyrolysis Mass Spectrometry ◽  
Fractionation Procedure

AbstractThis paper presents an evaluation of a fractionation procedure for use with tobacco. Correlation coefficients calculated from the weights of the polymer fractions obtained and data obtained with classical wet-chemical methods show that these parameters have a low resolving power, which precludes any detailed distinction between tobaccos and tobacco-derived fractions. Pyrolysis mass spectrometry combined with multivariate analysis is presented as a promising approach for investigating the variability in the chemical composition of tobacco. Multivariate analysis performed on the pyrolysis mass-spectrometric fingerprints of all tobacco fractions indicates that the differences between the individual tobaccos are smaller than the differences induced by the fractionation procedure. Multivariate analysis of subfiles of the pyrolysis mass-spectrometric fingerprints of separate polymer fractions is an excellent method for classifying tobaccos. Leaf and stem material can easily be distinguished. A further differentiation is made between the flue-cured and Burley-type tobaccos. The strong clustering of tobacco samples after treatment with potassium hydroxide points to a uniform cell-wall skeleton. The greater variability in the ethanolized tobacco samples, and samples subjected to hot-water extraction or amylase digestion, is related to the cytosol characteristics. These fractions appear to reflect both the dissimilarities between the distinct tobacco types and phenotypic variations due to differences in cultural management. Pyrolysis mass spectrometry of the Klason lignin residues points to a large variety of chemical constituents unrelated to lignin. Pyrolysis gas-chromatography mass-spectrometric data on the Klason lignin residues of a Burley tobacco showed that the correlation made between the organic-nitrogen content and the protein content of this fraction might be misleading. As a consequence the maximum value for the lignin content of this tobacco is estimated incorrectly.

Investigation of b-cyclodextrin peroxides’ thermal degradation by pyrolysis mass spectrometry

2016 ◽  
Vol 38 (4) ◽  
pp. 302-306
Author(s):  
V.V. Boyko ◽  
◽  
O.A. Radchenko ◽  
S.V. Riabov ◽  
S.I. Sinelnikov ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Thermal Degradation ◽  
Pyrolysis Mass Spectrometry

Investigation of titanium dioxide modified by the b-cyclodextrin-containing polymers applying pyrolysis mass spectrometry

2015 ◽  
Vol 37 (1) ◽  
pp. 54-59
Author(s):  
O.A. Opanasenko ◽  
◽  
S.V. Riabov ◽  
S.I. Sinelnikov ◽  
V.V. Boyko ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Titanium Dioxide ◽  
Pyrolysis Mass Spectrometry

Algorithm of combining chromatography mass spectrometry-untargeted profiling and multivariate analysis for identification of marker-substances in samples of complex composition

2020 ◽  
Vol 86 (7) ◽  
pp. 12-19
Author(s):  
I. V. Plyushchenko ◽  
D. G. Shakhmatov ◽  
I. A. Rodin
Keyword(s):  
Mass Spectrometry ◽  
Multivariate Analysis ◽  
Large Scale ◽  
Complex Composition ◽  
Unified Protocol ◽  
Chromatography Mass Spectrometry ◽  
Marker Substances ◽  
Selection Testing ◽  
Untargeted Profiling

A viral development of statistical data processing, computing capabilities, chromatography-mass spectrometry, and omics technologies (technologies based on the achievements of genomics, transcriptomics, proteomics, metabolomics) in recent decades has not led to formation of a unified protocol for untargeted profiling. Systematic errors reduce the reproducibility and reliability of the obtained results, and at the same time hinder consolidation and analysis of data gained in large-scale multi-day experiments. We propose an algorithm for conducting omics profiling to identify potential markers in the samples of complex composition and present the case study of urine samples obtained from different clinical groups of patients. Profiling was carried out by the method of liquid chromatography mass spectrometry. The markers were selected using methods of multivariate analysis including machine learning and feature selection. Testing of the approach was performed using an independent dataset by clustering and projection on principal components.

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