Richards, JM
1988-1986
Pyrolysis Short-Column GC/MS Using the Ion Trap Detector (ITD) and Ion Trap Mass Spectrometer (ITMS)
Richards, J.M.; McClennen, W.H.; Bunger, J.A. and Meuzelaar, H.L.C.
Finnigan Application Note, (214), 1988. Funded by Finnigan MAT.
The results in this report show the capabilities of a short column equipped with a flash pyrolysis/evaporation inlet and interfaced directly to an ITD. The system has proven to be capable of rapid analysis of complex natural and synthetic materials, with relatively little loss in resolution relative to longer columns.
Self-Modeling Curve Resolution by Factor Analysis of a Continuous Series of Pyrolysis Mass Spectra
Windig, W.; Jakab, E.; Richards, J.M. and Meuzelaar, H.L.C.
Anal. Chem. 59, 317-323, 1987. 6 pgs. Funded by The Center for Micro Analysis.
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.
Multivariate Analysis of Time-Resolved Mass Spectral Data
Windig, W.; Chakravarty, T.; Richards, J.M. and Meuzelaar, H.L.C.
Analytical Chemical Acta, 9, 205-2l8, 1986. 13 pgs. Funded by Army Research Office and Hercules.
Multivariate analysis of time-resolved pyrolysis/mass spectrometric data is described. The approach is based on the variance diagram (VARDIA), a recently developed technique that quantifies the clustering of variables in two-dimensional factor analysis (sub)spaces in a rotational scanning procedure. A maximum in the VARDIA plot indicates a correlated behavior of the mass variables, indicating a common origin. This common origin is generally caused by a change in the concentration of a chemical component. With this information the "factor spectrum" and the scores of the component can be retrieved. For time-resolved serial data, consideration of the clustering behavior of the variables as a function of time is more appropriate than a rotational scanning procedure. Adaptation of the VARDIA for serial data, such as time-resolved data, is described. This approach has the advantage that all the factors can be used. It will be shown that the resolution of the obtained curve can be higher than the total ion current curve as a function of time. Examples will be given for time-resolved data of coal, rubber and wood samples.
Richards, JM
1988-1986
Pyrolysis Short-Column GC/MS Using the Ion Trap Detector (ITD) and Ion Trap Mass Spectrometer (ITMS)
Richards, J.M.; McClennen, W.H.; Bunger, J.A. and Meuzelaar, H.L.C.
Finnigan Application Note, (214), 1988. Funded by Finnigan MAT.
The results in this report show the capabilities of a short column equipped with a flash pyrolysis/evaporation inlet and interfaced directly to an ITD. The system has proven to be capable of rapid analysis of complex natural and synthetic materials, with relatively little loss in resolution relative to longer columns.
Self-Modeling Curve Resolution by Factor Analysis of a Continuous Series of Pyrolysis Mass Spectra
Windig, W.; Jakab, E.; Richards, J.M. and Meuzelaar, H.L.C.
Anal. Chem. 59, 317-323, 1987. 6 pgs. Funded by The Center for Micro Analysis.
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.
Multivariate Analysis of Time-Resolved Mass Spectral Data
Windig, W.; Chakravarty, T.; Richards, J.M. and Meuzelaar, H.L.C.
Analytical Chemical Acta, 9, 205-2l8, 1986. 13 pgs. Funded by Army Research Office and Hercules.
Multivariate analysis of time-resolved pyrolysis/mass spectrometric data is described. The approach is based on the variance diagram (VARDIA), a recently developed technique that quantifies the clustering of variables in two-dimensional factor analysis (sub)spaces in a rotational scanning procedure. A maximum in the VARDIA plot indicates a correlated behavior of the mass variables, indicating a common origin. This common origin is generally caused by a change in the concentration of a chemical component. With this information the "factor spectrum" and the scores of the component can be retrieved. For time-resolved serial data, consideration of the clustering behavior of the variables as a function of time is more appropriate than a rotational scanning procedure. Adaptation of the VARDIA for serial data, such as time-resolved data, is described. This approach has the advantage that all the factors can be used. It will be shown that the resolution of the obtained curve can be higher than the total ion current curve as a function of time. Examples will be given for time-resolved data of coal, rubber and wood samples.