2013
DOI: 10.1371/journal.pone.0053550
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Hailstones: A Window into the Microbial and Chemical Inventory of a Storm Cloud

Abstract: Storm clouds frequently form in the summer period in temperate climate zones. Studies on these inaccessible and short-lived atmospheric habitats have been scarce. We report here on the first comprehensive biogeochemical investigation of a storm cloud using hailstones as a natural stochastic sampling tool. A detailed molecular analysis of the dissolved organic matter in individual hailstones via ultra-high resolution mass spectrometry revealed the molecular formulae of almost 3000 different compounds. Only a sm… Show more

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Cited by 195 publications
(184 citation statements)
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“…The groups relevant to our study are delineated by the aromaticity index (AI) 37,38 and H/C cutoffs 38 : combustion-derived polycyclic aromatics (AI40.66), vascular plant-derived polyphenols (0.66ZAI40.50), highly unsaturated and phenolic compounds (AIr0.50 and H/Co1.5), and aliphatic compounds (2.0ZH/CZ1.5).…”
Section: Ft-icr-ms Analysismentioning
confidence: 99%
“…The groups relevant to our study are delineated by the aromaticity index (AI) 37,38 and H/C cutoffs 38 : combustion-derived polycyclic aromatics (AI40.66), vascular plant-derived polyphenols (0.66ZAI40.50), highly unsaturated and phenolic compounds (AIr0.50 and H/Co1.5), and aliphatic compounds (2.0ZH/CZ1.5).…”
Section: Ft-icr-ms Analysismentioning
confidence: 99%
“…Soils are an important source of OM that is present in atmospheric water vapor. For example, while hailstones from storm clouds harbor primarily plant-surface bacteria, the molecular composition of DOM contains mainly soil-derived sources suggesting a fast transfer of OM from soils to the atmosphere (Šantl-Temkiv et al, 2013). In addition to being solubilized to DOM (Greenfield, 1957), particulate organic matter (POM) is also "washed" from the atmosphere by rainfall, acting as an additional flux of carbon to the earth's surface (Monteith et al, 2007).…”
Section: Above-ground Carbon Flow Pathsmentioning
confidence: 99%
“…Detected masses were matched across all samples, and molecular formulae (maximum elemental abundances set to C n H n O n N 4 S 1 ) were assigned to masses with a minimum signal-to-noise ratio of 4 and allowing a mass error of o0.5 p.p.m., using in-house programmed Matlab (MathWorks, Natwick, MA, USA) routines. Based on the elemental composition, molecules detected via FT-ICR-MS were assigned to 'molecular categories' (black carbon, polyphenols, highly unsaturated/unsaturated aliphatics, saturated fatty acids, carbohydrates, peptides) as proposed by Šantl-Temkiv et al (2013). Owing to the high number of possible structural isomers behind each molecular formulae (Hertkorn et al, 2006), this classification is not unambiguous but exclusive (that is, categories are not overlapping) and it provides a useful, though rough, overview on likely molecular classes in DOM.…”
Section: Dom Analysismentioning
confidence: 99%