Preprints
https://doi.org/10.5194/amt-2016-209
https://doi.org/10.5194/amt-2016-209

  28 Jul 2016

28 Jul 2016

Review status: this preprint was under review for the journal AMT but the revision was not accepted.

Atmo-metabolomics: a new measurement approach for investigating aerosol composition and ecosystem functioning

Albert Rivas-Ubach1,2, Yina Liu1, Jordi Sardans2,3, Malak M. Tfaily1, Young-Mo Kim4, Eric Bourrianne5, Ljiljana Paša-Tolić1, Josep Peñuelas2,3, and Alex Guenther6 Albert Rivas-Ubach et al.
  • 1Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, 99354, WA, USA
  • 2CREAF, Cerdanyola del Vallès, 08913 Catalonia, Spain
  • 3CSIC, Global Ecology Unit CREAF-CEAB-CSIC-UAB, Cerdanyola del Vallès, 08913 Catalonia, Spain
  • 4Biological Sciences Division, Pacific Northwest National Laboratory, Richland, 99354, WA, USA
  • 5Faculté des Sicences et d’Ingénierie, Université de Toulouse III Paul Sabatier, Toulouse, 31400, France
  • 6Department of Earth System Science, University of California, Irvine, CA, USA

Abstract. Aerosols directly and indirectly play crucial roles in the processes controlling the composition of the atmosphere and the functioning of ecosystems. Gaining a deeper understanding of the chemical composition of aerosols is one of the major challenges for atmospheric and climate scientists and is beginning to be recognized as important for ecological research. Better comprehension of aerosol chemistry can potentially provide valuable information on atmospheric processes such as oxidation of organics and the production of cloud condensation nuclei as well as provide an approximation of the general status of an ecosystem through the measurement of certain stress biomarkers. In this study, we describe an efficient aerosol sampling method, the metabolite extraction procedures for the chemical characterization of aerosols, namely, the atmo-metabolome. We used mass spectrometry (MS) coupled to liquid chromatography (LC-MS), gas chromatography (GC-MS) and Fourier transform ion cyclotron resonance (FT-ICR-MS) for a deep characterization of the atmo-metabolome. The atmo-metabolomes from two distinct seasons, spring and summer, were compared to test the sensitivity and demonstrate the information that can be provided from each analytical platform. Our results showed that our sampling and extraction methods are suitable for aerosol chemical characterization with any of the analytical platforms used in this study. The three datasets obtained from these individual platforms showed significant differences of the overall atmo-metabolome between spring and summer. LC-MS and GC-MS analyses identified several metabolites that can be attributed to pollen and other plant-related aerosols. Spring samples exhibit higher concentrations of metabolites linked to higher plant activity while summer samples had higher concentrations of metabolites that may reflect certain oxidative stresses. FT-ICR-MS analysis showed clear differences in the elemental composition of aerosols between spring and summer. Summer aerosols were generally higher in molecular weight and with higher O / C ratios, indicating higher oxidation levels and condensation of compounds relative to spring. Our method represents an advanced approach for characterizing the composition of aerosols that will benefit scientists attempting to understand complex atmospheric processes and the ecosystem status across a whole ecoregion.

Albert Rivas-Ubach et al.

 
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
 
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Albert Rivas-Ubach et al.

Albert Rivas-Ubach et al.

Viewed

Total article views: 1,187 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
772 359 56 1,187 157 51 61
  • HTML: 772
  • PDF: 359
  • XML: 56
  • Total: 1,187
  • Supplement: 157
  • BibTeX: 51
  • EndNote: 61
Views and downloads (calculated since 28 Jul 2016)
Cumulative views and downloads (calculated since 28 Jul 2016)
Latest update: 26 Oct 2021
Download