1999
DOI: 10.1002/(sici)1097-0231(19990430)13:8<654::aid-rcm537>3.3.co;2-9
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A non‐linear asymmetric error function‐based least mean square approach for the analysis of multicomponent mass spectra measured by membrane inlet mass spectrometry

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Cited by 12 publications
(20 citation statements)
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“…2, the non‐unit resolution of the Micropole analyzer makes it very difficult to analyze multicomponent air samples. Using the Omnistar mass spectrometer, isotopic peaks are nicely separated and analysis of multicomponent mixtures is possible 22. Figure 3 shows that the repeatability of the Omnistar mass spectrometer is rather better than that of the Micropole instrument.…”
Section: Performance Characteristics Of the Micropole Analyzer And Thmentioning
confidence: 99%
“…2, the non‐unit resolution of the Micropole analyzer makes it very difficult to analyze multicomponent air samples. Using the Omnistar mass spectrometer, isotopic peaks are nicely separated and analysis of multicomponent mixtures is possible 22. Figure 3 shows that the repeatability of the Omnistar mass spectrometer is rather better than that of the Micropole instrument.…”
Section: Performance Characteristics Of the Micropole Analyzer And Thmentioning
confidence: 99%
“…Previous researchers employing residual gas analysis to study gas mixtures used mathematical methods such as function‐based least mean square regression, parallel factor analysis or the use of an internal standard . However, this approach can be problematic as Turner et al .…”
Section: Resultsmentioning
confidence: 99%
“…The individual VOCs can be identified from the electron ionization PAM mass spectra (Fig. 2) by using the custom‐made Solver software 18. In this study the PAM‐MS method combined with the Solver software was compared with a P&T‐GC/MS method in identification of VOCs from two different pharmaceutical products.…”
Section: Resultsmentioning
confidence: 99%