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AMT | Articles | Volume 12, issue 4
Atmos. Meas. Tech., 12, 2313-2329, 2019
https://doi.org/10.5194/amt-12-2313-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Atmos. Meas. Tech., 12, 2313-2329, 2019
https://doi.org/10.5194/amt-12-2313-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 12 Apr 2019

Research article | 12 Apr 2019

An open platform for Aerosol InfraRed Spectroscopy analysis – AIRSpec

Matteo Reggente et al.
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Aiken, A. C., Decarlo, P. F., Kroll, J. H., Worsnop, D. R., Huffman, J. A., Docherty, K. S., Ulbrich, I. M., Mohr, C., Kimmel, J. R., Sueper, D., Sun, Y., Zhang, Q., Trimborn, A., Northway, M., Ziemann, P. J., Canagaratna, M. R., Onasch, T. B., Alfarra, M. R., Prevot, A. S. H., Dommen, J., Duplissy, J., Metzger, A., Baltensperger, U., and Jimenez, J. L.: O∕C and OM∕OC ratios of primary, secondary, and ambient organic aerosols with high-resolution time-of-flight aerosol mass spectrometry, Aerosol Sci. Tech., 42, 4478–4485, https://doi.org/10.1021/es703009q, 2008. a
AIRSpec: https://gitlab.com/aprl/AIRSpec/, last access: 3 April 2019. a
Allen, D. T., Palen, E. J., Haimov, M. I., Hering, S. V., and Young, J. .: Fourier-transform Infrared-spectroscopy of Aerosol Collected In A Low-pressure Impactor (LPI/FTIR) – Method Development and Field Calibration, Aerosol Sci. Tech., 21, 325–342, https://doi.org/10.1080/02786829408959719, 1994. a, b
Alsberg, B. K., Winson, M. K., and Kell, D. B.: Improving the interpretation of multivariate and rule induction models by using a peak parameter representation, Chemometr. Intel. Labor. Syst., 36, 95–109, https://doi.org/10.1016/S0169-7439(97)00024-5, 1997. a
Anderson, J., Thundiyil, J., and Stolbach, A.: Clearing the Air: A Review of the Effects of Particulate Matter Air Pollution on Human Health, J. Med. Toxicol., 8, 166–175, https://doi.org/10.1007/s13181-011-0203-1, 2012. a
Publications Copernicus
Short summary
The infrared spectra of atmospheric particles are rich in chemical information but require sophisticated statistical methods to extract information on account of their complex absorption profiles. We present an open software suite which makes current algorithms used for analysis of such spectra available to the community, with a browser-based interface for general users and modular architecture that facilitates addition of new methods by developers.
The infrared spectra of atmospheric particles are rich in chemical information but require...
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