Abstract

Abstract. The mass resolution of laser desorption ionization (LDI) single-particle aerosol mass spectrometry (SPAMS) is usually low (∼500), which has been greatly improved by the recent development of the delayed ion extraction technique. However, due to large fluctuations among LDI processes during each laser shot, accurate calibration of the mass-to-charge ratio for high-resolution SPAMS (HR-SPAMS) spectra is challenging. Here we developed an automatic linear calibration method to improve the accuracy of mass-to-charge (m∕z) measurement for single atmospheric aerosol particles. Laboratory-generated sea spray aerosol and atmospheric ambient aerosol were tested. After the calibration, the fluctuation ranges of the reference ions' (e.g., Pb+ and SO4+) m∕z reaches ±0.018 for sea spray aerosol and ±0.024 for ambient aerosol in average mass spectra. With such m∕z accuracy, the HR-SPAMS spectra of sea spray aerosol can easily identify elemental compositions of organic peaks, such as Cx, CxHy and CxHyOz. While the chemical compositions of ambient aerosols are more complicated, CxHy, CxHyOz and CNO peaks can also be identified based on their accurate mass. With the improved resolution, the time series of peaks with small m∕z differences can be separated and measured. In addition, it is also found that applying high-resolution data with enhanced mass calibration can significantly affect particle classification (identification) using the ART-2a algorithm, which classify particles based on similarities among single-particle mass spectra.

Highlights

  • Atmospheric aerosols can significantly impact radiative forcing, cloud formation and human health (Ackerman et al, 2004; Zhang and Kin-Fai, 2012)

  • The results show that the fluctuations in the reference ion m/z values were significantly reduced after automatic linear calibration

  • An automatic linear calibration method has been developed for data analysis of high-resolution single-particle aerosol mass spectrometry (SPAMS) data

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Summary

Introduction

Atmospheric aerosols can significantly impact radiative forcing, cloud formation and human health (Ackerman et al, 2004; Zhang and Kin-Fai, 2012) They originate from various sources and undergo many atmospheric aging processes, resulting in an extremely complicated mixture of particles with a large range of sizes and chemical compositions. Utilizing laser ablation ionization of singe aerosol particles, single-particle aerosol mass spectrometry (SPAMS) has been widely used to measure chemical compositions, sizes and the refractory index of aerosols in real time (Moffet and Prather, 2009; Murphy, 2010; Sullivan and Prather, 2005) Based on this technique, ART-2a and other algorithms have been developed to classify the ambient particles based on their mass spectra and identify their sources (Reinard et al, 2007; Zelenyuk and Imre, 2009). We need to develop a new mass spectrometry (MS) calibration method for atmospheric aerosols and evaluate its performance comprehensively

Experimental section
Laboratory-generated sea spray aerosol
Automatic linear calibration method
Evaluation of the calibration method
Automatic linear calibration method with a larger reference ion pool
HR-SPAMS measurement of sea spray aerosol
HR-SPAMS measurement of atmospheric aerosol
Time variation in HR-SPAMS measurement
Particle classification by ART-2a
Conclusion
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