Selective ultra-trace detection of NO and NO2 in complex gas mixtures using broad-bandwidth REMPI mass spectrometry
| Autor: | W. E. van der Veer, R. M. Garnica, Thorsten Benter, L. C. Short, Matthew F. Appel, J. R. McKeachie |
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| Rok vydání: | 2001 |
| Předmět: |
Detection limit
Resonance-enhanced multiphoton ionization Dye laser Atmospheric pressure Chemistry Nitrogen Dioxide Analytical chemistry Nitric Oxide Mass spectrometry Laser Biochemistry Mass Spectrometry Analytical Chemistry Atmospheric-pressure laser ionization law.invention Solid-state laser law Electrochemistry Environmental Chemistry Environmental Pollutants Spectroscopy |
| Zdroj: | The Analyst. 126:1221-1228 |
| ISSN: | 1364-5528 0003-2654 |
| DOI: | 10.1039/b103594k |
| Popis: | In this paper we demonstrate the feasibility of ultra-trace resonance enhanced multiphoton ionization (REMPI) detection employing a small broad-bandwidth solid state laser system. The results reported here are compared with measurements carried out with a conventional excimer pumped dye laser combination. Mass selected broad-bandwidth REMPI spectra for the environmentally relevant nitrogen oxides NO and NO2 are presented. Tunable broad-bandwidth laser radiation with a spectral resolution of >10 cm−1 in the wavelength range 560–400 nm was employed for the detection of NO2. For NO detection, the range 230–224 nm was covered. Laser radiation was generated using an optical parametric oscillator pumped by an unseeded Nd:YAG laser. A mobile time-of-flight mass spectrometer equipped with an atmospheric pressure laser ionization source allowed for mass selective parent ion detection at m/z 30 for NO and m/z 46 for NO2. The limit of detection was 10 pptV for NO and 20 pptV for NO2. A selectivity of >2000 for both compounds with respect to N2O5, organic nitrates and NO2 in the case of NO is reported. An improved laser system currently under construction is expected to provide detection limits below pptv mixing ratios for both nitrogen oxides in a 20 s integration interval. |
| Databáze: | OpenAIRE |
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