期刊
JOURNAL OF COLLOID AND INTERFACE SCIENCE
卷 623, 期 -, 页码 595-606出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jcis.2022.05.043
关键词
Interfaces; Interfacial tension; Line-broadening effects; Monte-Carlo method; Surface light scattering; Surface tension; Thermophysical properties; Viscosity
This study proposes a novel evaluation strategy for surface light scattering (SLS) measurements, which allows for the accurate determination of viscosity and surface tension in the range of small wave vectors. The application of this strategy extends the range of SLS in connection with opaque and non-transparent fluids.
Hypothesis: The accurate determination of viscosity and interfacial tension by surface light scattering (SLS) represents a challenging task, especially in the range of small wave vectors. Here, measurements are subjected to line-broadening effects, which are often not adequately described by empirical fitting routines in literature. Experiments: For tackling this limitation, a novel evaluation strategy relying on a Monte-Carlo-based optimization is suggested in the present study. Without making prior assumptions about the underlying distribution of wave vectors, the method allows to decompose the measured SLS signal into a superposition of individual contributions represented by damped oscillations. The resulting amplitude distribution for damping and frequency is used to estimate the central wave vector, all of which is required to solve the dispersion relation for hydrodynamic surface fluctuations in its exact form.Findings: By applying the evaluation strategy to SLS signals recorded in reflection direction for the reference fluid toluene, it is demonstrated that the presented concept provides a route towards an accurate determination of viscosity and surface tension in the range of small wave vectors. Hence, the strategy is considered to extend the application range of SLS in connection with opaque and non-transparent fluids for which small wave vectors often need to be probed experimentally.(c) 2022 Elsevier Inc. All rights reserved.
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