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Original Articles

Soot Particle Aerosol Mass Spectrometer: Development, Validation, and Initial Application

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Pages 804-817 | Received 23 Sep 2011, Accepted 21 Jan 2012, Published online: 14 Mar 2012
 

Abstract

The Soot Particle Aerosol Mass Spectrometer (SP-AMS) was developed to measure the chemical and physical properties of particles containing refractory black carbon (rBC). The SP-AMS is an Aerodyne Aerosol Mass Spectrometer (AMS) equipped with an intracavity laser vaporizer (1064 nm) based on the Single Particle Soot Photometer (SP2) design, in addition to the resistively heated, tungsten vaporizer used in a standard AMS. The SP-AMS can be operated with the laser vaporizer alone, with both the laser and tungsten vaporizers, or with the tungsten vaporizer alone. When operating with only the laser vaporizer, the SP-AMS is selectively sensitive to laser-light absorbing particles, such as ambient rBC-containing particles as well as metal nanoparticles, and measures both the refractory and nonrefractory components. When operated with both vaporizers and modulating the laser on and off, the instrument measures the refractory components of absorbing particles and the nonrefractory particulate matter of all sampled particles. The SP-AMS design, mass spectral interpretation, calibration, and sensitivity are described. Instrument calibrations yield a sensitivity of greater than 140 carbon ions detected per picogram of rBC mass sampled, a 3σ detection limit of less than 0.1 μg·m−3 for 60 s averaging, and a mass-specific ionization efficiency relative to particulate nitrate of 0.2 ± 0.1. Sensitivities were found to vary depending upon laser-particle beam overlap. The utility of the instrument to characterize ambient rBC aerosol is demonstrated.

Copyright 2012 American Association for Aerosol Research

Acknowledgments

The authors acknowledge conceptual discussions with Darrel Baumgardner and are indebted to Chris Hare, Jason Olfert, Joel Kimmel, Donna Sueper, Hugh Coe, James Allan, Eben Cross, Sally Ng, David Liscinsky, Barry McManus, and Lino Gonzalez. The research was supported by DOE ASR #DE-FG02-05ER63995, DOE SBIR #DE-FG02-07ER84890, NSF ATM-0854916, NASA SBIR #NNX10CA32C, and NOAA Climate Program #NA09OAR4310125.

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