Literature DB >> 30052429

Molecular Characterization of Cloud Water Samples Collected at the Puy de Dôme (France) by Fourier Transform Ion Cyclotron Resonance Mass Spectrometry.

Angelica Bianco1,2, Laurent Deguillaume1, Mickaël Vaïtilingom1, Edith Nicol3, Jean-Luc Baray1, Nadine Chaumerliac1, Maxime Bridoux2.   

Abstract

Cloud droplets contain dynamic and complex pools of highly heterogeneous organic matter, resulting from the dissolution of both water-soluble organic carbon in atmospheric aerosol particles and gas-phase soluble species, and are constantly impacted by chemical, photochemical, and biological transformations. Cloud samples from two summer events, characterized by different air masses and physicochemical properties, were collected at the Puy de Dôme station in France, concentrated on a strata-X solid-phase extraction cartridge and directly infused using electrospray ionization in the negative mode coupled with ultrahigh-resolution mass spectrometry. A significantly higher number (n = 5258) of monoisotopic molecular formulas, assigned to CHO, CHNO, CHSO, and CHNSO, were identified in the cloud sample whose air mass had passed over the highly urbanized Paris region (J1) compared to the cloud sample whose air mass had passed over remote areas (n = 2896; J2). Van Krevelen diagrams revealed that lignins/CRAM-like, aliphatics/proteins-like, and lipids-like compounds were the most abundant classes in both samples. Comparison of our results with previously published data sets on atmospheric aqueous media indicated that the average O/C ratios reported in this work (0.37) are similar to those reported for fog water and for biogenic aerosols but are lower than the values measured for aerosols sampled in the atmosphere and for aerosols produced artificially in environmental chambers.

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Year:  2018        PMID: 30052429     DOI: 10.1021/acs.est.8b01964

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  2 in total

1.  Unexpected molecular diversity of brown carbon formed by Maillard-like reactions in aqueous aerosols.

Authors:  Shanshan Tang; Feifei Li; Jitao Lv; Lei Liu; Guangming Wu; Yarui Wang; Wanchao Yu; Yawei Wang; Guibin Jiang
Journal:  Chem Sci       Date:  2022-06-30       Impact factor: 9.969

2.  Effect of endogenous microbiota on the molecular composition of cloud water: a study by Fourier-transform ion cyclotron resonance mass spectrometry (FT-ICR MS).

Authors:  Angelica Bianco; Laurent Deguillaume; Nadine Chaumerliac; Mickaël Vaïtilingom; Miao Wang; Anne-Marie Delort; Maxime C Bridoux
Journal:  Sci Rep       Date:  2019-05-21       Impact factor: 4.379

  2 in total

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