Application of a new light scattering technique to avoid the influence of dilution in light scattering experiments with milk

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发布日期
DOI 10.1039/A903906F
影响因子 3.676
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摘要

Colloidal systems are a subject of great interest in soft condensed matter research as well as in industry. But the ability to characterize colloidal systems with dynamic light scattering (DLS) is in general limited to systems with negligible contributions from multiple scattering of light. Therefore a variety of systems is excluded from investigations with DLS at high concentration and therefore increased turbidity. Often these samples were investigated under high dilution with, at least for some systems, a high probability of measuring artefacts. A promising solution to this problem consists of suppressing multiple scattering in a DLS experiment with a cross-correlation technique. Therefore we developed a so-called 3d cross-correlation instrument which enables us to characterize extremely turbid suspensions. After having found that the instrument works very well with model systems, we now demonstrate that complex ‘real world’ systems can successfully be characterized using this technique. An investigation of milk shows a strong dependence of the measured particle size distribution upon dilution. With the 3d instrument, however, the undiluted milk can be measured and artificial changes of the sample properties can be excluded.

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来源期刊

Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
自引率: 10.3%
年发文量: 3036

Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.

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