Evaluation of Uncertainties and Introduction of Tools for Quantification of Bulk Particle-phase Organic Nitrates Using Real-time Aerosol Mass Spectrometry

DOUGLAS A. DAY, Benjamin A. Nault, Pedro Campuzano-Jost, Jose-Luis Jimenez, CIRES, University of Colorado, Boulder

     Abstract Number: 88
     Working Group: Instrumentation and Methods

Abstract
Organic nitrates and particle-phase organic nitrates (pRONO2) play important roles in tropospheric chemistry, including radical budgets, ozone formation, SOA formation, and the reactive oxidized nitrogen budget. Over the last decade, the Aerodyne aerosol mass spectrometer (AMS), widely-used for measuring online aerosol composition, has been increasingly applied to quantify pRONO2. An approach that relies on relative intensities of NO+ and NO2+ ions in AMS spectra (“NOx+ ion ratio method”), when using a standard vaporizer, is the most common method applied, and was recently supported by demonstration of a reliable way to estimate pRONO2 NOx+ ion ratios for complex ambient aerosol, the so-called “Ratio-of-Ratios” (RoR) method. However, little attention has focused on quantifying uncertainties for these methods. Therefore, we have systematically explored uncertainties associated with quantifying pRONO2 (and NH4NO3) with the RoR method. Identified uncertainties are derived, quantified, and propagated to estimate overall uncertainty, relative importance of terms, and how they vary with averaging and aerosol composition. The analysis is extended to estimation of detection limits and unit mass resolution data. Overall uncertainties have substantial contributions from the ambient NOx+ ratio measurement, precision of NH4NO3 NOx+ ratio determination, RoR estimate of the pRONO2 NOx+ ratio, and accuracy of the AMS total nitrate concentrations. Effects on quantification from matrix and instrument memory effects are evaluated using laboratory-generated mixtures of nitrates with inorganic and organic aerosol as well as complex ambient mixtures. We conclude that such effects, if present in ambient aerosol, are likely small. We have developed a publicly-available, open-source software for calculation of concentrations, uncertainties, and detection limits for pRONO2 and NH4NO3. Finally, thermal denuder measurements for several field datasets were used to explore the efficacy of the RoR method and quantify volatility of pRONO2, which was similar to less-oxidized, oxidized organic aerosol PMF factors.


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