Particle characterization plays a key role in materials science and numerous industrial applications. By analyzing particle size, density, surface area, and concentration, companies gain valuable insights to optimize materials and enhance process efficiency.
For your specific requirements, we utilize cutting-edge analysis technologies from LUM GmbH. Thanks to innovative measurement techniques, we provide precise and reliable results that help you sustainably improve the quality, efficiency, and performance of your materials and processes.
Highest Precision with Advanced Technology
- Fast & reliable measurements for informed decision-making
- Optimization of materials & processes through detailed analysis
Contact us today for a tailor-made particle characterization solution!
Median, mean and cumulative / density distribution
- Particle size distribution using STEP technology® in suspensions, according to ISO 13317 / 13318-2 with LUMiSizer® analytical photo centrifuge and LUMiReader® PSA, typical particle sizes of 10 nm to 30 µm or 500 nm to 300 µm
- Particle size distribution by laser diffractionin suspensions, application of Mie and Fraunhofer theorytypical particle sizes from 0.1 μm to 1200 μm
- Particle size distribution by means of laser light scatteringin suspensions, by single particle light scattering analyzer, with the LUMiSpoc, typical particle sizes from 0.2 μm to 2 μm
Effective density, skeletal density, density distribution
Determining the effective density of suspended nano- and microparticles is a key procedure in materials science. Using special sedimentation analysis methods, we can precisely analyze the density distribution of these particles. An important aspect here is the determination of the particle migration velocity in continuous phases with different densities.
These precise methods for determining the effective density contribute significantly to the understanding of material properties and the optimization of processes. By precisely characterizing the density distribution, valuable insights can be gained into the structure and functionality of the materials, which in turn contributes to the development of more efficient and higher-performance products.
We offer two methodological approaches:
- Method of Isopycnic Interpolation
In the suspended state, the particle density corresponds exactly to the density of the liquid suspension medium (Archimedes principle). The particles are dispersed in different solutions with densities close to, above and below the expected particle density, and the direction and magnitude of the velocity of the moving particles are determined. The effective particle density is determined by interpolation of the liquid density to the particle velocity zero.
- Multiple - Velocity Method
The multiple velocity method is used ito determine the effective density of particles. The average effective particle density is calculated from the experimentally determined separation velocities of the particles. The particles are dispersed in two or more liquids with different densities, such as H₂O, D₂O and their mixtures. The effective density of the particles is determined from the measured velocities using the Stokes equation.
Basic principle: The method is based on measuring the velocity of an object in a medium and combining these measurements with different values of the density-determining variables (e.g. mass or volume) in order to calculate the density.
Procedure:
- The speed of the object is measured as it moves through the medium.
- This measurement is repeated for different values of the density-determining variable (either different masses at constant volume or different volumes at constant mass).
- From the recorded velocities at different masses or volumes, relationships can be derived to calculate the density.
Density calculation: By recording a series of velocities at different density-determining quantities, a relationship between velocity and density can be established. This relationship is analyzed, often by regression, to determine the density of the object
The Hansen Solubility Parameters (HSP) are a proven method for analyzing particle surface properties. Based on the "like dissolves like" principle, HSP theory is used to investigate dispersibility, wettability, and adsorption characteristics of particle surfaces.
Determining Hansen Parameters for Accurate Particle Characterization
HSP/HDP analysis is based on three key parameters:
✔ δD (Dispersion Forces) – Van der Waals interactions
✔ δP (Polarity) – Dipole-dipole interactions between molecules
✔ δH (Hydrogen Bonding) – Strong intermolecular forcesTo disperse particles, test solvents from the 3D Hansen space are used as continuous phases. The separation kinetics of particles in each liquid are then analyzed using STEP technology. Based on their behavior, the test solvents are classified as "good" or "poor" dispersants.
Optimized Data Analysis with HSPiP Software
The collected data is processed using HSPiP software, ensuring precise calculation of Hansen dispersibility parameters. This method provides a reliable classification of particles, allowing targeted optimization of their surface properties.
Benefits of HSP/HDP Analysis for Research & Industry
✅ Targeted optimization of particle dispersion
✅ Enhanced wettability & adsorption properties
✅ Efficient material and process developmentLeverage state-of-the-art HSP/HDP analysis to improve your material properties. Contact us today for a personalized consultation!
Dr. Lerche KG offers multiple options for single particle counting that delivers high-precision analysis of dispersions, providing a number-weighted particle size, number concentration, and their distributions. Necessary for quality control and research, we can offce particle size and concentration regulation compliance, early detection of contaminants, consultation on optimized filtration efficiency, and reports on enhanced process reliability.
Key Benefits:
- Compliance with regulations for nanomaterial concentration
- Accurate particle detection for improved product quality
- Quality Control to prevent contamination issues
- Testing of filtration efficiency
- Reliable and reproducible results for research and industry
Available methods inlude:
- Determination of the number and size of particles in dispersions by single particle laser light scattering with the LUMiSpoc, typical particle size in the range of 40 nm to 8 μm depending on material properties.
- Determination of the number of particles in dispersions according to the Coulter principle, typical particle sizes in the range of 1 µm to 50 µm
Contact us today for personalized analysis.