Evaluation of mathematical algorithm for solving of Fourier transform infrared spectroscopic and mass spectra
| Autor: | Pekka Savolahti, Jukka Heikkonen, Jari Kiuru, Tapio Kotiaho, Virpi Tarkiainen, Raimo A. Ketola, Marianna Ridderstad, Jouni Juujarvi |
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| Jazyk: | angličtina |
| Rok vydání: | 2008 |
| Předmět: |
Chemistry
Infrared General Chemical Engineering Noise reduction Analytical technique Analytical chemistry General Chemistry Mass spectrometry Industrial and Manufacturing Engineering Spectral line symbols.namesake Fourier transform Mass spectrum symbols Fourier transform infrared spectroscopy Biological system |
| Zdroj: | Ketola, R A, Tarkiainen, V, Kiuru, J, Savolahti, P, Kotiaho, T, Juujärvi, J, Ridderstad, M & Heikkonen, J 2008, ' Evaluation of mathematical algorithm for solving of Fourier transform infrared spectroscopic and mass spectra ', Industrial & Engineering Chemistry Research, vol. 47, no. 21, pp. 8101-8106 . https://doi.org/10.1021/ie800851e |
| ISSN: | 1520-5045 0888-5885 |
| DOI: | 10.1021/ie800851e |
| Popis: | The aim of this study was to evaluate the benefits of the simultaneous use of two different analytical methods, namely Fourier transform infrared spectroscopy (FTIR) and mass spectrometry (MS), for online analysis of environmental and process samples. A mathematical method (NALMS) that identifies and quantifies all single components from a single multicomponent spectrum was previously developed for MS, and in this study, the same method, named as SPECTACS, was adopted for solving also an FTIR spectrum and a combined FTIR-MS spectrum. The performance of SPECTACS was evaluated by analyzing various gaseous samples, as case studies, containing volatile organic compounds, and the performance was compared with other methods, which are used to identify and quantitate organic compounds from multicomponent spectra. The results obtained show that SPECTACS with optimized noise reduction and solving a combined FTIR-MS spectrum can increase the reliability of identifying components in a single spectrum and also the accuracy in quantitative measurements when compared to the analysis with one analytical technique alone. The reasons for this improvement is evaluated and discussed in detail. |
| Databáze: | OpenAIRE |
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