Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Pore Size Distribution01:23

Pore Size Distribution

In concrete, the pore size distribution significantly influences the material's properties. Capillary pores, markedly larger than gel pores, form a vast network within partially hydrated cement paste, reducing the concrete's strength and increasing its permeability. This heightened permeability leads to a greater risk of damage from environmental factors like freeze-thaw cycles and chemical attacks, with the extent of vulnerability also being tied to the water-to-cement ratio.
Adequate...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Relationship between transmembrane potential and activation of motility in rainbow trout (Salmo gairdneri).

Fish physiology and biochemistry·2013
Same author

Spherical particle size determination by analytical inversion of the UV-visible-NIR extinction spectrum.

Applied optics·2010
Same author

Vesicle sizing by static light scattering: a Fourier cosine transform approach.

Applied optics·2010
Same author

Remote sensing of phytoplankton by laser fluorosensor: effect of self attenuation.

Applied optics·2010
Same author

Scaling properties of light scattering spectra for particles moving with helical trajectories.

Applied optics·2010
Same author

Homodyne electrophoretic light scattering of polystyrene spheres by laser cross-beam intensity correlation.

Applied optics·2010

Related Experiment Video

Updated: Jun 23, 2026

Dynamic Light Scattering Analysis for the Determination of the Particle Size of Iron-Carbohydrate Complexes
04:40

Dynamic Light Scattering Analysis for the Determination of the Particle Size of Iron-Carbohydrate Complexes

Published on: July 7, 2023

Vesicle sizing: Number distributions by dynamic light scattering.

F R Hallett1, J Watton, P Krygsman

  • 1Guelph-Waterloo Program for Graduate Work in Physics, Department of Physics, University of Guelph, Guelph, Ontario N1G 2W1.

Biophysical Journal
|May 12, 2009
PubMed
Summary

This study optimizes dynamic light scattering (DLS) analysis for liposome systems. The method accurately determines vesicle size distributions, aligning with electron microscopy (EM) findings.

More Related Videos

Measurement of Particle Size Distribution in Turbid Solutions by Dynamic Light Scattering Microscopy
09:16

Measurement of Particle Size Distribution in Turbid Solutions by Dynamic Light Scattering Microscopy

Published on: January 9, 2017

Application of Voltage in Dynamic Light Scattering Particle Size Analysis
07:51

Application of Voltage in Dynamic Light Scattering Particle Size Analysis

Published on: January 24, 2020

Related Experiment Videos

Last Updated: Jun 23, 2026

Dynamic Light Scattering Analysis for the Determination of the Particle Size of Iron-Carbohydrate Complexes
04:40

Dynamic Light Scattering Analysis for the Determination of the Particle Size of Iron-Carbohydrate Complexes

Published on: July 7, 2023

Measurement of Particle Size Distribution in Turbid Solutions by Dynamic Light Scattering Microscopy
09:16

Measurement of Particle Size Distribution in Turbid Solutions by Dynamic Light Scattering Microscopy

Published on: January 9, 2017

Application of Voltage in Dynamic Light Scattering Particle Size Analysis
07:51

Application of Voltage in Dynamic Light Scattering Particle Size Analysis

Published on: January 24, 2020

Area of Science:

  • Materials Science
  • Biophysics
  • Analytical Chemistry

Background:

  • Dynamic Light Scattering (DLS) is a powerful technique for characterizing nanoparticle size.
  • Analyzing DLS data from complex systems like liposomes can be challenging.
  • Accurate size distribution is crucial for understanding vesicle behavior and applications.

Purpose of the Study:

  • To develop and optimize fitting methods for DLS data analysis of vesicle/liposome systems.
  • To enable direct comparison of DLS-derived size distributions with electron microscopy (EM) data.
  • To improve the accuracy and reliability of DLS for liposome characterization.

Main Methods:

  • Optimization of nonnegative least squares and exponential sampling fitting algorithms.
  • Application of a Rayleigh-Gans-Debye form factor for coated spheres.
  • Analysis of DLS data from aqueous vesicle/liposome suspensions.
  • Comparison with freeze-fracture electron microscopy (EM) for validation.

Main Results:

  • The optimized procedure successfully analyzes DLS data from liposome suspensions.
  • Number distributions derived from DLS show excellent agreement with EM results.
  • Accurate vesicle size distributions were obtained in the 100-200 nm range.

Conclusions:

  • The described DLS analysis procedure provides reliable and comparable size distribution data for liposomes.
  • This method enhances the utility of DLS for studying vesicle systems.
  • The findings validate the optimized DLS approach against a gold standard technique (EM).