grade
analytical standard
Quality Level
form
aqueous suspension
crosslinking
0 % cross-linked
concentration
2% (solids)
technique(s)
diffraction/scattering: suitable
particle size
0.2 μm std dev <0.03 μm
application(s)
cosmetics
environmental
food and beverages
pharmaceutical
format
neat
storage temp.
2-8°C
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General description
Monodisperse polystyrene based micro particles (size: 0.2 μm) are a particle size standard, ideal to determine particle size distribution (PSD) of test samples.
Application
Used for equipment particle size calibration.
Monodisperse polystyrene latex particles are also used to find the PSD of colloidal dispersions.
Monodisperse polystyrene latex particles are also used to find the PSD of colloidal dispersions.
Features and Benefits
- suitable for routine instrument calibration checks, testing and corrections
- available in 5 mL and 10 mL pack sizes as neat samples
Analysis Note
For every lot exact values of particle size and standard deviation are determined with an accuracy of 0.001 μm. The size determination of these particles follows procedures described by National Institute of Standards and Technology (NIST, USA) respectively by the Community Bureau of Reference (BCR), esp.:
- Transmission electron microscopy (TEM)
- Scanning electron microscope
- Light microscopy
- Coulter™ counter with MDF-system
Legal Information
Coulter is a trademark of Beckman Coulter, Inc.
Storage Class Code
10 - Combustible liquids
WGK
WGK 3
Flash Point(F)
410.0 °F
Flash Point(C)
210 °C
Personal Protective Equipment
dust mask type N95 (US), Eyeshields, Gloves
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JooWon Lim et al.
Optics express, 25(24), 30445-30458 (2017-12-10)
Optical diffraction tomography (ODT) using Born or Rytov approximation suffers from severe distortions in reconstructed refractive index (RI) tomograms when multiple scattering occurs or the scattering signals are strong. These effects are usually seen as a significant impediment to the
In vitro digestion of emulsions: diffusion and particle size distribution using diffusing wave spectroscopy and diffusion using nuclear magnetic resonance
Marze S, et al.
Soft Matter, 8(42) (2012)
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