Further a short section is summarizing selected complementary analytical methods. An additional section will provide practical guidelines and hints for sample preparation. 1970), the monomodal cumulant analysis (Koppel 1972) and the CONTIN algorithm (Provencher 1982) are a few of the milestones.Īfter briefly explaining the physical principles and requirements of light scattering techniques, different biological samples, recently established setups for in situ DLS experiments and selected applications will be introduced. In terms of data processing, digital autocorrelators (Foord et al.
19 Fujime 1972), whereas the development of single-mode fiber cables, improvement of detection optics, variation of sample containers and introduction of affordable diode-pumped solid-state lasers as light source advanced the applications of DLS tremendously later on and particularly during the last years (Brown 1987 Dhadwal and Chu 1989 Brown and Smart 1997 Minton 2016). The method DLS and underlying principles are known for several decades already (Mueller and Givens 1961 Cummins et al. Details about data processing are described in the following sections Autocorrelation function, half-logarithmic mean particle radius distribution and particle radius plot of the molecules are indicating a homogeneous monodisperse solution and a hydrodynamic radius of 2.4 ± 0.1 nm. b Exemplary DLS data of an L-form DNAzyme (5′-GAAGTTAGCAACATCGATCGGAGGCGG-3′) in solution containing MES buffer as evaluated by the accompanying software. Light scattered by the particles over time at a scattering angle θ is focused onto a detector or detector-connected fiber cable for further downstream data processing.
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