CLASSIZER particle characterization

MICROCAPSULES

Comprehensive particle size, stability and degradation analysis, fast development and quality control for emulsions and capsules.

DRUG DELIVERY

Size distribution, composition, loading and stability of your drug delivery systems in biological fluids as plasma/blood.

SLURRIES

Analyse and monitor the behaviour, structure and stability of compact and mesoporous particles employed as abrasives or agrochemicals.

PIGMENTS AND INKS

Obtain a thorough characterization of pigments for cosmetics, paints and inks! Speed up the R&D and Quality Control processes!

MINERAL POWDERS

Classify non spherical particles retrieving simultaneously particle aspect ratio distribution and numerical particle size distribution.

ENVIRONMENT

Analyse dust and mineral particles with an innovative point of view and improve your research on the environmental changes.

Novel scientific results: multiparametric optical characterization of airborne particles via patented SPES^2 technology and CLASSIZER AIR platform.

Novel scientific results: SPES multiparametric characterization supports traffic-related ecotoxicity and human health studies and assessments.

Come and Discover CLASSIZER ONE at ChimicaWebDay (https://lnkd.in/eg-sUAD) on 9 Oct 2019 – in collaboration with Optoprim S.r.l.

SPES Technology

SPES (Single Particle Extinction and Scattering) is an innovative patented technology for the characterization and development of micro and nano particles in industrial, environmental and biological complex fluids.

CLASSIZER™ ONE

EOS develops enabling multiparametric platforms based on SPES patented technology for the development, formulation and quality control of novel classes of products based on the use of micro and nanoparticles.

Contract Analysis Lab

EOS team is available for providing dedicated services and support in the research, development and quality control of your innovative products based on micro and nanoparticles in simple and complex fluids.

This project has received funding from the European Union’s H2020 SME Instruments
Phase 1 research and innovation programme under grant agreement No 781906