Light Scattering a Brief Introduction
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Glossary Physics (I-Introduction)
1 Glossary Physics (I-introduction) - Efficiency: The percent of the work put into a machine that is converted into useful work output; = work done / energy used [-]. = eta In machines: The work output of any machine cannot exceed the work input (<=100%); in an ideal machine, where no energy is transformed into heat: work(input) = work(output), =100%. Energy: The property of a system that enables it to do work. Conservation o. E.: Energy cannot be created or destroyed; it may be transformed from one form into another, but the total amount of energy never changes. Equilibrium: The state of an object when not acted upon by a net force or net torque; an object in equilibrium may be at rest or moving at uniform velocity - not accelerating. Mechanical E.: The state of an object or system of objects for which any impressed forces cancels to zero and no acceleration occurs. Dynamic E.: Object is moving without experiencing acceleration. Static E.: Object is at rest.F Force: The influence that can cause an object to be accelerated or retarded; is always in the direction of the net force, hence a vector quantity; the four elementary forces are: Electromagnetic F.: Is an attraction or repulsion G, gravit. const.6.672E-11[Nm2/kg2] between electric charges: d, distance [m] 2 2 2 2 F = 1/(40) (q1q2/d ) [(CC/m )(Nm /C )] = [N] m,M, mass [kg] Gravitational F.: Is a mutual attraction between all masses: q, charge [As] [C] 2 2 2 2 F = GmM/d [Nm /kg kg 1/m ] = [N] 0, dielectric constant Strong F.: (nuclear force) Acts within the nuclei of atoms: 8.854E-12 [C2/Nm2] [F/m] 2 2 2 2 2 F = 1/(40) (e /d ) [(CC/m )(Nm /C )] = [N] , 3.14 [-] Weak F.: Manifests itself in special reactions among elementary e, 1.60210 E-19 [As] [C] particles, such as the reaction that occur in radioactive decay. -
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. -
12 Light Scattering AQ1
12 Light Scattering AQ1 Lev T. Perelman CONTENTS 12.1 Introduction ......................................................................................................................... 321 12.2 Basic Principles of Light Scattering ....................................................................................323 12.3 Light Scattering Spectroscopy ............................................................................................325 12.4 Early Cancer Detection with Light Scattering Spectroscopy .............................................326 12.5 Confocal Light Absorption and Scattering Spectroscopic Microscopy ............................. 329 12.6 Light Scattering Spectroscopy of Single Nanoparticles ..................................................... 333 12.7 Conclusions ......................................................................................................................... 335 Acknowledgment ........................................................................................................................... 335 References ...................................................................................................................................... 335 12.1 INTRODUCTION Light scattering in biological tissues originates from the tissue inhomogeneities such as cellular organelles, extracellular matrix, blood vessels, etc. This often translates into unique angular, polari- zation, and spectroscopic features of scattered light emerging from tissue and therefore information about tissue -
Solutions 7: Interacting Quantum Field Theory: Λφ4
QFT PS7 Solutions: Interacting Quantum Field Theory: λφ4 (4/1/19) 1 Solutions 7: Interacting Quantum Field Theory: λφ4 Matrix Elements vs. Green Functions. Physical quantities in QFT are derived from matrix elements M which represent probability amplitudes. Since particles are characterised by having a certain three momentum and a mass, and hence a specified energy, we specify such physical calculations in terms of such \on-shell" values i.e. four-momenta where p2 = m2. For instance the notation in momentum space for a ! scattering in scalar Yukawa theory uses four-momenta labels p1 and p2 flowing into the diagram for initial states, with q1 and q2 flowing out of the diagram for the final states, all of which are on-shell. However most manipulations in QFT, and in particular in this problem sheet, work with Green func- tions not matrix elements. Green functions are defined for arbitrary values of four momenta including unphysical off-shell values where p2 6= m2. So much of the information encoded in a Green function has no obvious physical meaning. Of course to extract the corresponding physical matrix element from the Greens function we would have to apply such physical constraints in order to get the physics of scattering of real physical particles. Alternatively our Green function may be part of an analysis of a much bigger diagram so it represents contributions from virtual particles to some more complicated physical process. ∗1. The full propagator in λφ4 theory Consider a theory of a real scalar field φ 1 1 λ L = (@ φ)(@µφ) − m2φ2 − φ4 (1) 2 µ 2 4! (i) A theory with a gφ3=(3!) interaction term will not have an energy which is bounded below. -
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. -
The Basic Interactions Between Photons and Charged Particles With
Outline Chapter 6 The Basic Interactions between • Photon interactions Photons and Charged Particles – Photoelectric effect – Compton scattering with Matter – Pair productions Radiation Dosimetry I – Coherent scattering • Charged particle interactions – Stopping power and range Text: H.E Johns and J.R. Cunningham, The – Bremsstrahlung interaction th physics of radiology, 4 ed. – Bragg peak http://www.utoledo.edu/med/depts/radther Photon interactions Photoelectric effect • Collision between a photon and an • With energy deposition atom results in ejection of a bound – Photoelectric effect electron – Compton scattering • The photon disappears and is replaced by an electron ejected from the atom • No energy deposition in classical Thomson treatment with kinetic energy KE = hν − Eb – Pair production (above the threshold of 1.02 MeV) • Highest probability if the photon – Photo-nuclear interactions for higher energies energy is just above the binding energy (above 10 MeV) of the electron (absorption edge) • Additional energy may be deposited • Without energy deposition locally by Auger electrons and/or – Coherent scattering Photoelectric mass attenuation coefficients fluorescence photons of lead and soft tissue as a function of photon energy. K and L-absorption edges are shown for lead Thomson scattering Photoelectric effect (classical treatment) • Electron tends to be ejected • Elastic scattering of photon (EM wave) on free electron o at 90 for low energy • Electron is accelerated by EM wave and radiates a wave photons, and approaching • No -
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). -
Optical Light Manipulation and Imaging Through Scattering Media
Optical light manipulation and imaging through scattering media Thesis by Jian Xu In Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy CALIFORNIA INSTITUTE OF TECHNOLOGY Pasadena, California 2020 Defended September 2, 2020 ii © 2020 Jian Xu ORCID: 0000-0002-4743-2471 All rights reserved except where otherwise noted iii ACKNOWLEDGEMENTS Foremost, I would like to express my sincere thanks to my advisor Prof. Changhuei Yang, for his constant support and guidance during my PhD journey. He created a research environment with a high degree of freedom and encouraged me to explore fields with a lot of unknowns. From his ethics of research, I learned how to be a great scientist and how to do independent research. I also benefited greatly from his high standards and rigorous attitude towards work, with which I will keep in my future path. My committee members, Professor Andrei Faraon, Professor Yanbei Chen, and Professor Palghat P. Vaidyanathan, were extremely supportive. I am grateful for the collaboration and research support from Professor Andrei Faraon and his group, the helpful discussions in optics and statistics with Professor Yanbei Chen, and the great courses and solid knowledge of signal processing from Professor Palghat P. Vaidyanathan. I would also like to thank the members from our lab. Dr. Haojiang Zhou introduced me to the wavefront shaping field and taught me a lot of background knowledge when I was totally unfamiliar with the field. Dr. Haowen Ruan shared many innovative ideas and designs with me, from which I could understand the research field from a unique perspective. -
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.