Diffusive dynamics of nanoparticles in aqueous dispersions

He, Kai; Spannuth, Melissa; Conrad, Jacinta C.; Krishnamoorti, Ramanan

doi:10.1039/c2sm26392k

Cited by 43 publications

(51 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A typical application of DDM is to determine the diffusion constant of colloidal particles dispersed in a liquid medium 11,16,17,26,27 . If the viscosity of the host liquid is known, DDM behaves as a powerful particle sizing tool, in that it enables one determining accurately the size of the colloidal particles.…”

Section: A Viscosity Of Deeply Supercooled Water and Its Coupling Tomentioning

confidence: 99%

Perspective: Differential dynamic microscopy extracts multi-scale activity in complex fluids and biological systems

Cerbino

Cicuta

2017

The Journal of Chemical Physics

View full text Add to dashboard Cite

Differential dynamic microscopy (DDM) is a technique that exploits optical microscopy to obtain local, multi-scale quantitative information about dynamic samples, in most cases without user intervention. It is proving extremely useful in understanding dynamics in liquid suspensions, soft materials, cells and tissues. In DDM, image sequences are analyzed via a combination of image differences and spatial Fourier transforms to obtain information equivalent to that obtained by means of light scattering techniques. Compared to light scattering, DDM offers obvious advantages, principally (a) simplicity of setup; (b) possibility of removing static contributions along the optical path; (c) power of simultaneous different microscopy contrast mechanisms; (d) flexibility of choosing an analysis region, analogous to a scattering volume. For many questions, DDM has also advantages compared to segmentation/tracking approaches and to correlation techniques like Particle Image Velocimetry. The very straightforward DDM approach, originally demonstrated with bright field microscopy of aqueous colloids, has lately been used to probe a variety of other complex fluids and biological systems with many different imaging methods, including dark-field, differential interference contrast, wide-field, light-sheet, and confocal microscopy. The number of adopting groups is rapidly increasing and so are the applications. Here, we briefly recall the working principles of DDM, we highlight its advantages and limitations, we outline recent experimental breakthroughs, and we provide a perspective on future challenges and directions. DDM can become a standard primary tool in every laboratory equipped with a microscope, at the very least as a first bias-free automated evaluation of the dynamics in a system.

show abstract

Section: A Viscosity Of Deeply Supercooled Water and Its Coupling Tomentioning

confidence: 99%

Perspective: Differential dynamic microscopy extracts multi-scale activity in complex fluids and biological systems

Cerbino

Cicuta

2017

The Journal of Chemical Physics

View full text Add to dashboard Cite

show abstract

“…[70]. Colloidal dispersions of particles with diameter 100, 200 and 400 nm were prepared at different volume fractions (10 6 , 10 5 , 10 4 ) and studied with the three techniques.…”

Section: Dynamics Of Colloidal Systemsmentioning

confidence: 99%

Digital Fourier microscopy for soft matter dynamics

Giavazzi¹,

Cerbino²

2014

J. Opt.

175

View full text Add to dashboard Cite

Abstract. Soft matter is studied with a large portfolio of methods. Light scattering and video microscopy are the most employed at optical wavelengths. Light scattering provides ensembleaveraged information on soft matter in the reciprocal space. The wave-vectors probed correspond to length scales ranging from a few nanometers to fractions of millimetre. Microscopy probes the sample directly in the real space, by offering a unique access to the local properties. However, optical resolution issues limit the access to length scales smaller than approximately 200 nm. We describe recent work that bridges the gap between scattering and microscopy. Several apparently unrelated techniques are found to share a simple basic idea: the correlation properties of the sample can be characterised in the reciprocal space via spatial Fourier analysis of images collected in the real space. We describe the main features of such Digital Fourier Microscopy (DFM), by providing examples of several possible experimental implementations of it, some of which not yet realised in practice. We also provide an overview of experimental results obtained with DFM for the study of the dynamics of soft materials. Finally, we outline possible future developments of DFM that would ease its adoption as a standard laboratory method.

show abstract

“…To date, differential dynamic analysis has been successfully applied to bright-field, [16][17][18][19]22,28 fluorescence, 16 confocal, 21 , polarised, 24 and phase-contrast 20,23,25 forms of microscopy. One widely used imaging mode that is not included in this list is darkfield microscopy, the illumination system for which is depicted in Fig.…”

Section: Introductionmentioning

confidence: 99%

“…15 From DDM, it is possible to obtain the same dynamical correlation function measured in dynamic light scattering as a function of wave vector (q) space in systems that are not compatible with DLS, and using smaller sample volumes. Since its original development, DDM has been successfully used to measure particle diffusivity, 16 particle velocity, 17 colloidal aggregation and gelation kinetics, 18,19 bacterial motility, [20][21][22][23] hydrodynamic factors in concentrated colloidal dispersions, 21 viscoelasticity of liquid crystals, 24 and anisotropic particle motion. 25 It has also been adapted for use in texture analysis microscopy.…”

Section: Introductionmentioning

confidence: 99%

Dark-field differential dynamic microscopy

2016

View full text Add to dashboard Cite

Differential dynamic microscopy (DDM) is an emerging technique to measure the ensemble dynamics of colloidal and complex fluid motion using optical microscopy in systems that would otherwise be difficult to measure using other methods. To date, DDM has successfully been applied to linear space invariant imaging modes including bright-field, fluorescence, confocal, polarised, and phase-contrast microscopy to study diverse dynamic phenomena. In this work, we show for the first time how DDM analysis can be extended to dark-field imaging, i.e. a linear space variant (LSV) imaging mode. Specifically, we present a particle-based framework for describing dynamic image correlations in DDM, and use it to derive a correction to the image structure function obtained by DDM that accounts for scatterers with non-homogeneous intensity distributions as they move within the imaging plane. To validate the analysis, we study the Brownian motion of gold nanoparticles, whose plasmonic structure allows for nanometer-scale particles to be imaged under dark-field illumination, in Newtonian liquids. We find that diffusion coefficients of the nanoparticles can be reliably measured by dark-field DDM, even under optically dense concentrations where analysis via multiple-particle tracking microrheology fails. These results demonstrate the potential for DDM analysis to be applied to linear space variant forms of microscopy, providing access to experimental systems unavailable to other imaging modes.

show abstract

Diffusive dynamics of nanoparticles in aqueous dispersions

Cited by 43 publications

References 16 publications

Perspective: Differential dynamic microscopy extracts multi-scale activity in complex fluids and biological systems

Perspective: Differential dynamic microscopy extracts multi-scale activity in complex fluids and biological systems

Digital Fourier microscopy for soft matter dynamics

Dark-field differential dynamic microscopy

Contact Info

Product

Resources

About