✦ LIBER ✦

Analysis of multicomponent mass spectra applying Bayesian probability theory

✍ Scribed by T. Schwarz-Selinger; R. Preuss; V. Dose; W. von der Linden

Publisher: John Wiley and Sons
Year: 2001
Tongue: English
Weight: 155 KB
Volume: 36
Category: Article
ISSN: 1076-5174
DOI: 10.1002/jms.187

No coin nor oath required. For personal study only.

✦ Synopsis

Abstract

In this paper we develop a method for the decomposition of mass spectra of gas mixtures, together with the relevant calibration measurements. The method is based on Bayesian probability theory. Given a set of spectra, the algorithm returns the relative concentrations and the associated margin of confidence for each component of the mixture. In addition to the concentrations, such a data set enables the derivation of improved values of the cracking coefficients of all contributing species, even for those components for which the set does not contain a calibration measurement. This latter feature also allows one to analyze mixtures that contain radicals in addition to stable molecules. As an example, we analyze and discuss the mass spectra obtained from the pyrolysis of azomethane, which contain the radical CH~3~ apart from nitrogen and C~1~‐ and C~2~‐hydrocarbons. Copyright © 2001 John Wiley & Sons, Ltd.

📜 SIMILAR VOLUMES

Decomposition of multicomponent mass spe

Decomposition of multicomponent mass spectra using Bayesian probability theory

✍ H. D. Kang; R. Preuss; T. Schwarz-Selinger; V. Dose 📂 Article 📅 2002 🏛 John Wiley and Sons 🌐 English ⚖ 148 KB

## Abstract We present a method for the decomposition of the mass spectra of mixed gases using Bayesian probability theory. The method works without any calibration measurement and therefore applies also to the analysis of spectra containing unstable species. For the example of mixtures of three di

A non-linear asymmetric error function-b

A non-linear asymmetric error function-based least mean square approach for the analysis of multicomponent mass spectra measured by membrane inlet mass spectrometry

✍ Raimo A. Ketola; Marja Ojala; Veikko Komppa; Tapio Kotiaho; Jouni Juujärvi; Jukk 📂 Article 📅 1999 🏛 John Wiley and Sons 🌐 English ⚖ 104 KB 👁 2 views

A nonlinear asymmetric error function-based least mean square method (NALMS) for the deconvolution of identity and quantity of individual compounds based on the multicomponent mass spectra measured by membrane inlet mass spectrometry (MIMS) was developed and detailed testing results are presented. T