Digital analysis of mass spectra

The purpose of this thesis is twofold. A special type of signal is studied and methods for its reduction investigated. The results of this work are then applied to the automatic reduction of the trimethyllead mass spectrum with the aim of improving the information recovery from this signal, using m...

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Main Author: Weichert, Dieter Horst
Language:English
Published: University of British Columbia 2011
Subjects:
Online Access:http://hdl.handle.net/2429/37654
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spelling ndltd-UBC-oai-circle.library.ubc.ca-2429-376542018-01-05T17:48:56Z Digital analysis of mass spectra Weichert, Dieter Horst Electronic data processing -- Mass spectrometry The purpose of this thesis is twofold. A special type of signal is studied and methods for its reduction investigated. The results of this work are then applied to the automatic reduction of the trimethyllead mass spectrum with the aim of improving the information recovery from this signal, using modern data processing techniques. The precision measurement of amplitudes must always provide some form of averaging or filtering. It is demonstrated that the results become increasingly sensitive to irregularities in the abscissa of the record, as the width of the averaging function increases. The continuity of the transition from a purely height sensitive calculation to an area sensitive calculation depends on the shape of the impulse response of the measuring arrangement. For all physical shapes, a least squares fit will lead to area sensitive amplitudes. These results have not been known in mass spectrometry or, to our knowledge, in other fields. The mass spectrum is regarded as the convolution of an ideal line spectrum and a peak shape which is determined by the characteristics of the mass spectrometer and the associated electronics. The reduction presents essentially a problem in deconvolution. Although occassionally suggested in the literature, methods involving transformation to the frequency domain were not found to be useful. Thus it is necessary to carry out the analyses entirely in the time domain. Even then, methods requiring the use of derivatives of the spectrum, which have been successfully applied in special cases, usually suffer seriously from noise. Correlation techniques are especially valuable for signals with a high noise content. Correlation is an integration in the time domain and corresponds to a general filtering process in the frequency domain. A close relationship between the correlation technique and a least squares method is emphasized. The development of a practical procedure for this laboratory was part of the study. The trimethyllead group of the tetramethyllead spectrum is recorded in digital form on paper tape. At a constant sampling rate of two per second, about fifty readings per mass interval are recorded. The reduction of the paper tape record to relative isotopic abundances of lead has been automated, applying the experience gained from the general study. The saving in reduction time over former standard methods is substantial. There seems to be a real reduction in the standard deviations of individual peak measurements, but this does not exceed a factor of two. Science, Faculty of Earth, Ocean and Atmospheric Sciences, Department of Graduate 2011-09-27T18:54:29Z 2011-09-27T18:54:29Z 1965 Text Thesis/Dissertation http://hdl.handle.net/2429/37654 eng For non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https://open.library.ubc.ca/terms_of_use. University of British Columbia
collection NDLTD
language English
sources NDLTD
topic Electronic data processing -- Mass spectrometry
spellingShingle Electronic data processing -- Mass spectrometry
Weichert, Dieter Horst
Digital analysis of mass spectra
description The purpose of this thesis is twofold. A special type of signal is studied and methods for its reduction investigated. The results of this work are then applied to the automatic reduction of the trimethyllead mass spectrum with the aim of improving the information recovery from this signal, using modern data processing techniques. The precision measurement of amplitudes must always provide some form of averaging or filtering. It is demonstrated that the results become increasingly sensitive to irregularities in the abscissa of the record, as the width of the averaging function increases. The continuity of the transition from a purely height sensitive calculation to an area sensitive calculation depends on the shape of the impulse response of the measuring arrangement. For all physical shapes, a least squares fit will lead to area sensitive amplitudes. These results have not been known in mass spectrometry or, to our knowledge, in other fields. The mass spectrum is regarded as the convolution of an ideal line spectrum and a peak shape which is determined by the characteristics of the mass spectrometer and the associated electronics. The reduction presents essentially a problem in deconvolution. Although occassionally suggested in the literature, methods involving transformation to the frequency domain were not found to be useful. Thus it is necessary to carry out the analyses entirely in the time domain. Even then, methods requiring the use of derivatives of the spectrum, which have been successfully applied in special cases, usually suffer seriously from noise. Correlation techniques are especially valuable for signals with a high noise content. Correlation is an integration in the time domain and corresponds to a general filtering process in the frequency domain. A close relationship between the correlation technique and a least squares method is emphasized. The development of a practical procedure for this laboratory was part of the study. The trimethyllead group of the tetramethyllead spectrum is recorded in digital form on paper tape. At a constant sampling rate of two per second, about fifty readings per mass interval are recorded. The reduction of the paper tape record to relative isotopic abundances of lead has been automated, applying the experience gained from the general study. The saving in reduction time over former standard methods is substantial. There seems to be a real reduction in the standard deviations of individual peak measurements, but this does not exceed a factor of two. === Science, Faculty of === Earth, Ocean and Atmospheric Sciences, Department of === Graduate
author Weichert, Dieter Horst
author_facet Weichert, Dieter Horst
author_sort Weichert, Dieter Horst
title Digital analysis of mass spectra
title_short Digital analysis of mass spectra
title_full Digital analysis of mass spectra
title_fullStr Digital analysis of mass spectra
title_full_unstemmed Digital analysis of mass spectra
title_sort digital analysis of mass spectra
publisher University of British Columbia
publishDate 2011
url http://hdl.handle.net/2429/37654
work_keys_str_mv AT weichertdieterhorst digitalanalysisofmassspectra
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