The quasi-liquid layer of ice revisited: the role of temperature gradients and tip chemistry in AFM studies
In this work, we present new results of atomic force microscopy (AFM) force curves over pure ice at different temperatures, performed with two different environmental chambers and different kinds of AFM tips. Our results provide insight to resolve the controversy on the interpretation of experimenta...
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Veröffentlicht in: | Atmospheric chemistry and physics 2018-10, Vol.18 (20), p.14965-14978 |
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Sprache: | eng |
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Zusammenfassung: | In this work, we present new results of atomic force microscopy
(AFM) force curves over pure ice at different temperatures, performed with
two different environmental chambers and different kinds of AFM tips. Our
results provide insight to resolve the controversy on the interpretation of
experimental AFM curves on the ice–air interface for determining the
thickness of the quasi-liquid layer (QLL). The use of a Mini Environmental
Chamber (mEC) that provides an accurate control of the temperature and humidity of
the gases in contact with the sample allowed us for the first time to get
force curves over the ice–air interface without jump-in (jump of
the tip onto the ice surface, widely observed in previous studies). These
results suggest a QLL thickness below 1 nm within the explored temperature
range (−7 to −2 ∘C). This upper bound is
significantly lower than most of the previous AFM results, which suggests
that previous authors overestimate the equilibrium QLL thickness, due to
temperature gradients, or indentation of ice during the jump-in.
Additionally, we proved that the hydrophobicity of AFM tips affects
significantly the results of the experiments. Overall, this work shows that,
if one chooses the experimental conditions properly, the QLL thicknesses
obtained by AFM lie over the lower bound of the highly disperse results
reported in the literature. This allows estimating upper boundaries for the
QLL thicknesses, which is relevant to validate QLL theories and to improve
multiphase atmospheric chemistry models. |
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ISSN: | 1680-7324 1680-7316 1680-7324 |
DOI: | 10.5194/acp-18-14965-2018 |