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Dynamic Light Scattering: Effective Sizing Technique for Characterization of Magnetic Nanoparticles

  • Sim Siong Leong
  • Wei Ming Ng
  • JitKang Lim
  • Swee Pin YeapEmail author
Chapter

Abstract

In pace with the advancement in nanoparticle-based researches, dynamic light scattering (DLS) has been widely employed as an essential technique for particle sizing. This trend is mainly due to the ease of operation feature of the modern DLS equipment and its ability to provide statistically representative sizing information for nanomaterials. Despite overwhelming use of DLS in nanoparticle-related research and its regular presence in recent literature, the common question raised among the DLS users is how to carry out proper analysis and interpretation of the data obtained. For instance, there is inconsistency in the types of size distributions (i.e., intensity-weighted distribution, volume-weighted distribution, and number-weighted distribution) reported in current published accounts. In fact, reporting an improper size distribution could lead to misleading research outcome. Thus, understanding the fundamental concept and working principle of DLS is needed for effective and correct utilization of this sizing approach. More importantly, extra care should be taken to interpret the DLS data for particles that tend to aggregate such as the magnetic nanoparticles (MNPs). In this regard, this chapter is dedicated to provide an overview on the working principle of DLS and correlation between different types of size distributions, as well as to discuss the practical usages of DLS in characterization of MNPs for engineering and colloid science studies. This chapter also presented the comparison between DLS and electron microscopy for their size measurement capability, as well as the effect of particle concentration and occurrence of differential sedimentation during DLS measurement on the sizing outcome.

Keywords

Dynamic light scattering (DLS) Size distribution Magnetic nanoparticles Particle size Sizing outcomes 

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Sim Siong Leong
    • 1
    • 2
  • Wei Ming Ng
    • 1
  • JitKang Lim
    • 1
    • 3
  • Swee Pin Yeap
    • 4
    Email author
  1. 1.School of Chemical EngineeringUniversiti Sains MalaysiaPenangMalaysia
  2. 2.Faculty of Engineering and Built EnvironmentSEGi UniversitySelangorMalaysia
  3. 3.Department of PhysicsCarnegie Mellon UniversityPittsburghUSA
  4. 4.Department of Chemical & Petroleum Engineering, Faculty of Engineering, Technology and Built EnvironmentUCSI UniversityKuala LumpurMalaysia

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