Metallic particles such as gold, silver and other engineered nanomaterials are widely used in pharmaceuticals, life sciences, electronics and advanced materials. Their optical response strongly depends on particle size, shape and surface morphology, making advanced particle characterization essential for quality control and research. SPES technology enables multiparametric analysis of metallic particles by combining particle size with optical properties and effective refractive index.
Metallic nanoparticles are increasingly investigated for drug delivery, diagnostics, biosensing and functional coatings. Even particles with similar dimensions may exhibit different optical behaviour due to variations in morphology or surface roughness. Advanced particle characterization allows researchers to distinguish these populations and better understand formulation performance.
Classizer™ ONE, based on SPES technology, discriminates metallic particle populations according to particle size, optical fingerprint and structural morphology. Gold and silver particles with different shapes or surface characteristics can be rapidly classified without complex sample preparation, supporting fast quality control and advanced R&D studies in biological and industrial samples.
The case of gold nanoparticle with same size but different shapes
Gold nanoparticles with similar particle size but different morphologies generate distinct optical fingerprints within the EOS CLOUDS map. The multiparametric distribution enables rapid discrimination of particle populations that cannot be separated by size measurements alone.
