Particle Size Analysis
Particle Size Analysis - Related Videos
07:51
Application of Voltage in Dynamic Light Scattering Particle Size Analysis
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Cited by 6 •
2020
Here, a protocol to apply voltage to solution during dynamic light scattering particle size measurements with the intent to explore the effect of voltage and temperature changes on polymer aggregation is presented.
02:43
Basic Postulates of Kinetic Molecular Theory: Particle Size, Energy, and Collision
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2020
The ideal-gas equation, which is empirical, describes the behavior of gases by establishing relationships between their macroscopic properties. For example, Charles’ law states that volume and temperature are directly related. Gases, therefore, expand when heated at constant pressure. Although gas laws explain how the macroscopic properties change relative to one another, it does not explain the rationale behind it. The kinetic molecular theory is a microscopic model that helps understand what...
01:16
Precipitate Formation and Particle Size Control
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2024
In precipitation gravimetry, the precipitating agent should react specifically or selectively with the analyte. While a specific reagent reacts with the analyte alone, a selective reagent can react with a limited number of chemical species. The obtained precipitate should be either a pure substance of known composition or easily converted to one by a simple process, such as ignition or drying. In addition, the precipitate should be insoluble and easily filterable. In general, filterability...
04:40
Dynamic Light Scattering Analysis for the Determination of the Particle Size of Iron-Carbohydrate Complexes
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Cited by 2 •
2023
Dynamic light scattering (DLS) has emerged as a suitable assay for evaluating the particle size and distribution of intravenously administered iron-carbohydrate complexes. However, the protocols lack standardization and need to be modified for each iron-carbohydrate complex analyzed. The present protocol describes the application and special considerations for the analysis of iron sucrose.
06:54
Characterization of Nanocrystal Size Distribution using Raman Spectroscopy with a Multi-particle Phonon Confinement Model
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Cited by 10 •
2015
We demonstrate how to determine the size distribution of semiconductor nanocrystals in a quantitative manner using Raman spectroscopy employing an analytically defined multi-particle phonon confinement model. Results obtained are in excellent agreement with the other size analysis techniques like transmission electron microscopy and photoluminescence spectroscopy.
FAQs
The measurement principle determines how particle dimensions are inferred. Light scattering, diffusion in a fluid, gravitational settling, and image-based measurements each connect an observable signal to particle size, but their suitability depends on the sample and size range. Choosing among them therefore affects which features of a material’s size distribution can be resolved and compared.
Comparing measurement approaches is important because no single principle is presented as universally appropriate. Light scattering, fluid diffusion, gravitational settling, and image-based analysis infer size through different observables. The relevant sample characteristics and size range should therefore guide method selection, while results should be interpreted with awareness of how the measurement principle generated them.
Distribution comparisons can reveal changes that an average conceals. Two samples may share a similar mean size while differing in distribution width or containing evidence of aggregation. Tracking the distribution across samples or processing conditions gives a stronger basis for judging consistency, identifying formulation changes, and optimizing a process than relying on one summary value alone.
A basic workflow begins by considering the sample and its size range, selecting an appropriate measurement principle, and obtaining size metrics such as mean size and distribution width. The resulting distribution should then be compared with relevant samples or process conditions. This sequence supports identification of aggregation and evaluation of consistency without treating the mean as the complete result.
Applications include drug-delivery carriers, biomaterials, emulsions, powders, and cell-associated particles. Measuring their size distributions supports formulation quality, suspension stability, transport behavior, and reproducibility. Because these materials can respond differently to changes in particle dimensions, distribution information helps researchers evaluate whether a formulation or material remains consistent across samples or processing conditions.
In bioengineering, results can connect particle dimensions with flow, stability, reactivity, transport behavior, and biological performance. For drug-delivery carriers, biomaterials, emulsions, powders, and cell-associated particles, the analysis supports formulation quality and reproducibility. It can also guide process optimization by showing whether changes preserve a desired distribution or introduce aggregation.