Dynamic Light Scattering and Zeta Potential of Colloidal Mixtures Of
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An Efficient Scheme for Sampling Fast Dynamics at a Low Average Data
An efficient scheme for sampling fast dynamics at a low average data acquisition rate A. Philippe1, S. Aime1, V. Roger1, R. Jelinek1, G. Pr´evot1, L. Berthier1, L. Cipelletti1 1- Laboratoire Charles Coulomb (L2C), UMR 5221 CNRS-Universit´ede Montpellier, Montpellier, F-France. E-mail: [email protected] Abstract. We introduce a temporal scheme for data sampling, based on a variable delay between two successive data acquisitions. The scheme is designed so as to reduce the average data flow rate, while still retaining the information on the data evolution on fast time scales. The practical implementation of the scheme is discussed and demonstrated in light scattering and microscopy experiments that probe the dynamics of colloidal suspensions using CMOS or CCD cameras as detectors. arXiv:1511.07756v1 [cond-mat.soft] 24 Nov 2015 1. Introduction Since the birth of modern science in the sixteenth century, measuring, quantifying and modelling how a system evolves in time has been one of the key challenges for physicists. For condensed matter systems comprising many particles, the time evolution is quantified by comparing system configurations at different times, or by studying the temporal fluctuations of a physical quantity directly related to the particle configuration. An example of the first approach is the particle mean squared displacement, which quantifies the average change of particle positions, as determined, e.g., in optical or confocal microscopy experiments with colloidal particles [1, 2, 3]. The second method is exemplified by dynamic light scattering (DLS) [4], which relates the temporal fluctuations of laser light scattered by the sample to its microscopic dynamics. -
Evanescent Wave Dynamic Light Scattering of Turbid Media
Evanescent Wave Dynamic Light Scattering of Turbid Media Antonio Giuliani*, Benoit Loppinet@ Institute for Electronic Structure and Laser, Foundation for Research and Technology Hellas, Heraklion Greece *Present address : University of Groningen, the Netherlands @ [email protected] Abstract Dynamics light scattering (DLS) is a widely used techniques to characterize dynamics in soft phases. Evanescent Wave DLS refers to the case of total internal reflection DLS that probes near interface dynamics. We here investigate the use of EWDLS for turbid sample. Using combination of ray-tracing simulation and experiments, we show that a significant fraction of the detected photons are scattered once and has phase shifts distinct from the multiple scattering fraction. It follows that the measured correlation can be separated into two contributions: a single scattering one arising from the evanescent wave scattering, providing information on motion of the "scatterers" and the associated near wall dynamics and a multiple scattering contribution originating from scattering within the bulk of the sample. In case of turbid enough samples, the latter provides diffusive wave spectroscopy (DWS) -like correlation contribution. The validity of the approach is validated using turbid colloidal dispersion at rest and under shear. At rest we used depolarized scattering to distinguish both contributions. Under shear, the two contributions can easily be distinguished as the near wall dynamics and the bulk one are well separated. Information of both the near wall flow and the bulk flow can be retrieved from a single experiment. The simple structure of the measured correlation is opening the use of EWDLS for a large range of samples. -
Quantitative Structural Analysis of Polystyrene Nanoparticles Using Synchrotron X-Ray Scattering and Dynamic Light Scattering
polymers Article Quantitative Structural Analysis of Polystyrene Nanoparticles Using Synchrotron X-ray Scattering and Dynamic Light Scattering Jia Chyi Wong 1,2, Li Xiang 2, Kuan Hoon Ngoi 1,2, Chin Hua Chia 1,* , Kyeong Sik Jin 3,* and Moonhor Ree 2,* 1 Materials Science Program, School of Applied Physics, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia; [email protected] (J.C.W.); [email protected] (K.H.N.) 2 Department of Chemistry, Polymer Research Institute, and Pohang Accelerator Laboratory, Pohang University of Science and Technology, Pohang 37673, Korea; [email protected] 3 Pohang Accelerator Laboratory, Pohang University of Science & Technology, Pohang 37673, Korea * Correspondence: [email protected] (C.H.C.); [email protected] (K.S.J.); [email protected] (M.R.) Received: 1 February 2020; Accepted: 18 February 2020; Published: 19 February 2020 Abstract: A series of polystyrene nanoparticles (PS-1, PS-2, PS-3, and PS-4) in aqueous solutions were investigated in terms of morphological structure, size, and size distribution. Synchrotron small-angle X-ray scattering analysis (SAXS) was carried out, providing morphology details, size and size distribution on the particles. PS-1, PS-2, and PS-3 were confirmed to behave two-phase (core and shell) spherical shapes, whereas PS-4 exhibited a single-phase spherical shape. They all revealed very narrow unimodal size distributions. The structural parameter details including radial density profile were determined. In addition, the presence of surfactant molecules and their assemblies were detected for all particle solutions, which could originate from their surfactant-assisted emulsion polymerizations. -
Pecora R (2000) DLS Measurements of Nm Particles in Liquids
Journal of Nanoparticle Research 2: 123–131, 2000. © 2000 Kluwer Academic Publishers. Printed in the Netherlands. Invited paper Dynamic light scattering measurement of nanometer particles in liquids R. Pecora Department of Chemistry, Stanford University, Stanford, CA 94305-5080, USA (E-mail: [email protected]) Received 15 January 2000; accepted in revised form 14 June 2000 Key words: nanoparticle, characterization, light scattering, PCS, interferometry, diffusion, polydispersivity Abstract Dynamic light scattering (DLS) techniques for studying sizes and shapes of nanoparticles in liquids are reviewed. In photon correlation spectroscopy (PCS), the time fluctuations in the intensity of light scattered by the particle dispersion are monitored. For dilute dispersions of spherical nanoparticles, the decay rate of the time autocorrelation function of these intensity fluctuations is used to directly measure the particle translational diffusion coefficient, which is in turn related to the particle hydrodynamic radius. For a spherical particle, the hydrodynamic radius is essentially the same as the geometric particle radius (including any possible solvation layers). PCS is one of the most commonly used methods for measuring radii of submicron size particles in liquid dispersions. Depolarized Fabry-Perot interferometry (FPI) is a less common dynamic light scattering technique that is applicable to opti- cally anisotropic nanoparticles. In FPI the frequency broadening of laser light scattered by the particles is analyzed. This broadening is proportional to the particle rotational diffusion coefficient, which is in turn related to the par- ticle dimensions. The translational diffusion coefficient measured by PCS and the rotational diffusion coefficient measured by depolarized FPI may be combined to obtain the dimensions of non-spherical particles. -
Why Are DLS Measurements in High Concentration Solutions Difficult?
Why are DLS measurements in high concentration solutions difficult? Brookhaven Instruments • Holtsville, New York Dynamic Light Scattering (DLS) is an effective measurement technique used for measuring the hydrodynamic size of common nanomaterials including colloids, nanoparticles, proteins, and polymers. Despite the versatility of this technique, there are several important considerations that cannot be ignored when using light scattering to characterize high-concentration solutions. While it is possible to make measurements on high volume-fraction samples without dilution, it raises additional questions about the meaning of the hydrodynamic size. To understand why this is the case we need to discuss two effects encountered in concentrated solutions: multiple scattering and mutual diffusion. Equivalent Hydrodynamic Size The size obtained from DLS is a hydrodynamic size, which is derived from measurements of particle diffusion. All freely diffusing particles are constantly undergoing Brownian Motion in proportion to thermal energy expressed as the product of the Boltzmann constant by the temperature (kbT). A single particle would experience Brownian Diffusion in inverse proportion to its size, thus the diffusion coefficient, DT, of this particle can be used to calculate its hydrodynamic diameter, dH, as shown in the Stokes-Einstein equation: DT = kb T / 3πηdH dH can be obtained if the temperature, T, and viscosity, η, are also known. This single particle diffusion coefficient is the result of self-diffusion; therefore, in the limit of infinite dilution, this calculated size is fully equivalent to its hydrodynamic size. In the simplest case a single decay rate, Г, is extracted from the DLS autocorrelation function (ACF). This Г is the reciprocal of the characteristic relaxation time, τt, such that: g(1)( τ) = exp(-Г τ) Figure 1.0 Simulated ACF’s for decay rates of Г = 7000, 4000, and 1000 s-1 (corresponding to 24, 41, and 165 nm diameter spherical particles). -
Introduction to Dynamic Light Scattering for Particle Size Determination
www.horiba.com/us/particle Jeffrey Bodycomb, Ph.D. Introduction to Dynamic Light Scattering for Particle Size Determination © 2016 HORIBA, Ltd. All rights reserved. 1 Sizing Techniques 0.001 0.01 0.1 1 10 100 1000 Nano-Metric Fine Coarse SizeSize Colloidal Macromolecules Powders AppsApps Suspensions and Slurries Electron Microscope Acoustic Spectroscopy Sieves Light Obscuration Laser Diffraction – LA-960 Electrozone Sensing Methods DLS – SZ-100 Sedimentation Disc-Centrifuge Image Analysis PSA300, Camsizer © 2016 HORIBA, Ltd. All rights reserved. 3 Two Approaches to Image Analysis Dynamic: Static: particles flow past camera particles fixed on slide, stage moves slide 0.5 – 1000 um 1 – 3000 um 2000 um w/1.25 objective © 2016 HORIBA, Ltd. All rights reserved. 4 Laser Diffraction Laser Diffraction •Particle size 0.01 – 3000 µm •Converts scattered light to particle size distribution •Quick, repeatable •Most common technique •Suspensions & powders © 2016 HORIBA, Ltd. All rights reserved. 5 Laser Diffraction Suspension Powders Silica ~ 30 nm Coffee Results 0.3 – 1 mm 14 100 90 12 80 10 70 60 8 50 q(%) 6 40 4 30 20 2 10 0 0 10.00 100.0 1000 3000 Diameter(µm) © 2016 HORIBA, Ltd. All rights reserved. 6 What is Dynamic Light Scattering? • Dynamic light scattering refers to measurement and interpretation of light scattering data on a microsecond time scale. • Dynamic light scattering can be used to determine – Particle/molecular size – Size distribution – Relaxations in complex fluids © 2016 HORIBA, Ltd. All rights reserved. 7 Other Light Scattering Techniques • Static Light Scattering: over a duration of ~1 second. Used for determining particle size (diameters greater than 10 nm), polymer molecular weight, 2nd virial coefficient, Rg. -
"Characterization of Protein Oligomers by Multi-Angle Light Scattering" In
and additional structural information. Studying protein Characterization of Protein oligomerization using Light scattering (LS) methods is Oligomers by Multi-angle Light combined in many cases with chromatographic methods, resulting in accurate characterization of this dynamic Scattering process with minimal measurement-related interferences. Here, we describe several light scattering-based techniques combined with several separation methods, focusing on Mai Shamir, Hadar Amartely, Mario Lebendiker, the more common method of size exclusion chromatog- Assaf Friedler raphy – multi-angle light scattering (SEC-MALS) and two The Hebrew University of Jerusalem, Jerusalem, additional and in some cases complementary methods, Israel ion exchange chromatography and flow field fractionation combined with MALS. 1 Introduction 1 2 Methods for Studying Protein 1 INTRODUCTION Oligomerization 2 3 Light Scattering of Macromolecules 3 Protein oligomerization is a fundamental process in cell biology, where two or more polypeptide chains are 4 Static Light Scattering 3 interacting, usually in a noncovalent way, to form the 4.1 The Dependence of the Static Light active form of the protein. Proteins can form homo or Scattering Intensity on the Protein Molar hetero-oligomers. Over 35% of the proteins in the cell Mass and Concentration 4 are oligomers and over half of them are homodimers or 4.2 The Dependence of Static Light Scattering homotetramers (Figure 1).(1,2) Protein oligomerization Intensity on the Protein Size 4 is at the basis of a large variety of cellular processes(3): 5 Dynamic Light Scattering 5 Oligomers provide diversity and specificity of many 6 Light Scattering Intensity in Oligomerization pathways by regulation or activation, including gene Process 7 expression, activity of enzymes, ion channels, receptors, (4–7) 7 Chromatographic Separation Coupled with and cell–cell adhesion processes. -
Size and Zeta Potential of Colloidal Gold Particles
Size and Zeta Potential of Colloidal Gold Particles Mark Bumiller [email protected] © 2012 HORIBA, Ltd. All rights reserved. Colloid Definition Two phases: •Dispersed phase (particles) •Continuous phase (dispersion medium, solvent) May be solid, liquid, or gaseous Size range 1 nm – 1 micron High surface area creates unique properties (suspension) © 2012 HORIBA, Ltd. All rights reserved. Nanoparticle Definition Nanoparticle: size below 100 nm SSA = 6/D ultrasound 50 nm D from SEM ~50 nm Used ultrasound to disperse D from SSA ~60-70 nm to primary particles or use D from DLS ~250 nm weak acid to break bonds So: is this a nanoparticle? D from DLS ~50 nm © 2012 HORIBA, Ltd. All rights reserved. SZ-100: Nanoparticle Analyzer Size: .3 nm - 8 µm 90° and 173° Zeta potential: -200 - +200 mV Patented carbon coated electrodes Molecular weight: 1x103 - 2x107 g/mol Optional titrator •Nanoparticles •Colloids •Proteins •Emulsions •Disperison stability © 2012 HORIBA, Ltd. All rights reserved. Dynamic Light Scattering Particles in suspension undergo Brownian motion due to solvent molecule bombardment in random thermal motion. ~ 1 nm to 1 µm Particle moves due to interaction with liquid molecules Small – faster Large - slower © 2012 HORIBA, Ltd. All rights reserved. SZ-100 Optics 90° for size and MW, A2 Backscatter (173°) (High conc.) Particles Laser PD Attenuator 532nm, 10mW For T% Particles moving due to Brownian motion Zeta potential Attenuator Modulator © 2012 HORIBA, Ltd. All rights reserved. SZ100 Measurement Principle 1 lngq,r lim 0 ts R n(i) Relaxation time n(1)=2 n(3)=1 n(5)=2 2 n(2)=1 n(4)=3 t t 6D Particle’s moving distance <n(i)n(i+j)> Diffusion constant j 0 4 5 1 k T 1 2 3 D B <n2(i)> 2 Autocorrelation Function q R 6a g(q、r) Relaxation time <n(i)>2 Particle radius j 0 1 2 3 4 5 q: Scattering vector η: Viscosity 0 t 2t 3t 4t 5t k : Boltzmann constant s s s s s τ B © 2012 HORIBA, Ltd. -
Dynamic Light Scattering: an Introduction in 30 Minutes
TECHNICAL NOTE Dynamic Light Scattering: An Introduction in 30 Minutes PARTICLE SIZE Introduction Dynamic Light Scattering (DLS), sometimes referred to as Photon Correlation Spectroscopy or Quasi-Elastic Light Scattering, is a technique classically used for measuring the size of particles typically in the sub-micron region, dispersed in a liquid. The sensitivity of some modern systems is such that it can also now be used to measure the size of macromolecules in solution, e.g. proteins Brownian Motion DLS measures Brownian motion and relates this to the size of the particles. Brownian motion is the random movement of particles due to the bombardment by the solvent molecules that surround them. The larger the particle or molecule, the slower the Brownian motion will be. Smaller particles are "kicked" further by the solvent molecules and move more rapidly. An accurately known temperature is necessary for DLS because knowledge of the viscosity is required (because the viscosity of a liquid is related to its temperature). The temperature also needs to be stable, otherwise convection currents in the sample will cause non-random movements that will ruin the correct interpretation of size. The velocity of the Brownian motion is defined by a property known as the translational diffusion coefficient (usually given the symbol, D). The Hydrodynamic Diameter The size of a particle is calculated from the translational diffusion coefficient by using the Stokes-Einstein equation; Malvern Instruments Worldwide Sales and service centres in over 65 countries www.malvern.com/contact ©2017 Malvern Instruments Limited TECHNICAL NOTE where:- d(H) = hydrodynamic diameter D = translational diffusion coefficient k = Boltzmann's constant T = absolute temperature η = viscosity Note that the diameter that is measured in DLS is a value that refers to how a particle diffuses within a fluid so it is referred to as a hydrodynamic diameter. -
Stability Study of O/W Emulsions Using Zeta Potential
Available on line www.jocpr.com Journal of Chemical and Pharmaceutical Research __________________________________________________ J. Chem. Pharm. Res., 2010, 2(1): 512-527 ISSN No: 0975-7384 Stability study of O/W emulsions using zeta potential Nidhi Bhatt * 1 , Raj K. Prasad 1, Kuldeep Singh 1, G. M. Panpalia 2 1Shambhunath Institute of Pharmacy Jhalwa,Near IIIT, Allahabad, U. P., India 2Department of Pharmaceutical Science, BIT, Mesra, Ranchi, India ______________________________________________________________________________ Abstract Emulsions are widely used as medicinal and cosmetic delivery systems on account of general observations that emulsified materials normally possess the properties being exhibited by its bulk components. In order to widen scope of application of the conclusions drawn, o/w emulsions covering almost all routes of administration were considered for the study. These included parenteral emulsion, oral Emulsion and topical emulsion. Zeta potential including zeta deviation and peak position, and effective particle size of the emulsions including Z-average diameter, poly dispersity index and peak position were studied using a Zeta sizer (Malvern instrument). Employing Laser Doppler Electrophoresis and dynamic light scattering technique, Zeta potential and particle size distribution of the droplet as a function of time can be determined, which was done in this paper. Zeta potential is used to study the chemistry involved in determining whether or not an emulsion will remain stable in the environment where it will be used. Hence it is very much essential. The stability of all diluted emulsions (1% v/v) of samples in milli-Q water was studied. The parameters Zeta potential, particle size and pH were measured at 1, 2, 3, 6, 8, 10, 12, 15, 20, 30, 45, 60, 75, 90 days after dilution of the emulsions by mechanical mixing. -
1 Measurement of Dynamic Light Scattering Intensity in Gels
Measurement of dynamic light scattering intensity in gels Cyrille Rochas1and Erik Geissler2,3* 1 Univ. Grenoble Alpes, CNRS, CERMAV, F-38000 Grenoble, France 2 Univ. Grenoble Alpes, LIPhy, F-38000 Grenoble, France 3 CNRS, LIPhy, F-38000 Grenoble, France * [email protected] Abstract In the scientific literature little attention has been given to the use of dynamic light scattering (DLS) as a tool for extracting the thermodynamic information contained in the absolute intensity of light scattered by gels. In this article we show that DLS yields reliable measurements of the intensity of light scattered by the thermodynamic fluctuations, not only in aqueous polymer solutions, but also in hydrogels. In hydrogels, light scattered by osmotic fluctuations is heterodyned by that from static or slowly varying inhomogeneities. The two components are separable owing to their different time scales, giving good experimental agreement with macroscopic measurements of the osmotic pressure. DLS measurements in gels are, however, tributary to depolarised light scattering from the network as well as to multiple light scattering. The paper examines these effects, as well as the instrumental corrections required to determine the osmotic modulus. For guest polymers trapped in a hydrogel the measured intensity, extrapolated to zero concentration, is identical to that found by static light scattering from the same polymers in solution. The gel environment modifies the second and third virial coefficients, providing a means of evaluating the interaction between the polymers and the gel. Introduction In the arsenal of techniques for characterising polymers and suspensions of solids, dynamic light scattering (DLS) is one of the more powerful weapons 1-3. -
The Effects of Zeta Potential and Flocculant Molecular Chain Length on the Flocculation of Fines
Western Michigan University ScholarWorks at WMU Paper Engineering Senior Theses Chemical and Paper Engineering 12-1970 The Effects of Zeta Potential and Flocculant Molecular Chain Length on the Flocculation of Fines Kai F. Chiu Western Michigan University Follow this and additional works at: https://scholarworks.wmich.edu/engineer-senior-theses Part of the Wood Science and Pulp, Paper Technology Commons Recommended Citation Chiu, Kai F., "The Effects of Zeta Potential and Flocculant Molecular Chain Length on the Flocculation of Fines" (1970). Paper Engineering Senior Theses. 66. https://scholarworks.wmich.edu/engineer-senior-theses/66 This Dissertation/Thesis is brought to you for free and open access by the Chemical and Paper Engineering at ScholarWorks at WMU. It has been accepted for inclusion in Paper Engineering Senior Theses by an authorized administrator of ScholarWorks at WMU. For more information, please contact wmu- [email protected]. THE �FFECTS OF ZETA POTENTIAL AND FLOCCULANT MOLECULAR CHAIN LENGTH ON THE FLOCCULATION OF FINES, r THESIS SUBMITTED TO THE DEPARTMENT OF PAPER TECHNOLOGY AT WESTERN MICHIGAN UNIVERSITY KALAMAZOO MICHIGAN AS PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF BACHELOR OF SCIENCE Kai F. Chiu WESTERN MICHIGAN UNIVERSITY KALAMAZOO MICHIGAN DECEMBER 1970 · - ACKNOWLEDGEMENT I would like to thank my senior thesis advisor, Dr. Stephen Kuko1ich, Department of Paper Technology, Western Michigan University, for his guidance and valuable assistance in times of dif':ficulties. I would also like to thank Mr. William Foster and Mr. Ralph Wisner of Dow Chemical Company, Midland, Michigan, for the chemicals used in this project. My gratitude is extended to Mr.