EOS CLASSIZER SPES particle analysis

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.

HOT NEWS: SPES/SPES^2 methods provide unique data and optical characterization on influence of radiative properties of inhomogeneous particles with internal structure of (eg. aggregates, mesoporous particles, …).

EOS webinar at the 46th SICC Congress – Digital Edition on 10 Dec 2020 @ 3pm entitled: “Empowering Particles for Beauty: tailor formulates in cosmetics and cosmeceuticals via SPES method” Stay Tuned!

SPES Technology

SPES (Single Particle Extinction & Scattering) is a novel patented technology for the multiparametric analysis of subvisible / submicron particles in industrial, environmental and biological complex fluids.

Classizer™ ONE

EOS develops multiparametric platforms based on SPES patented technology for the development, formulation and quality control of novel classes of products based on the use of submicron/subvisible particles.

Contract Analysis Lab

EOS team is available for providing taylored services and support in the research, development and quality control of your innovative products based on submicron / subvisible particles in 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