Malvern Instruments’ Morphologi G3-ID particle imaging system has won a Readers’ Choice Award 2013, voted for by the industry readership of Laboratory Equipment magazine. The Morphologi G3-ID particle characterisation system combines automated particle imaging with the chemical identification of individual particles using Raman spectroscopy and is proving ideal for solving complex particle characterisation problems where size and shape alone provide insufficient information.

Paul Kippax, Product Group Manager at Malvern, said, “I’m delighted that Malvern is receiving this award for the Morphologi G3-ID and I would like to thank everyone who voted for us. It is especially pleasing to gain such direct recognition from professionals in the laboratory. The Morphologi G3-ID is going from strength to strength, with the combination of automated particle imaging and Raman spectroscopy proving highly valuable in supporting the greater understanding of particulate systems across many different industries and applications.”

The Morphologi G3-ID is designed to enable all users, from particle characterisation scientists with limited spectroscopy experience right through to experienced spectroscopists, to gain an in-depth understanding of particulate samples. Key applications are in determining component-specific particle properties of mixtures and blends, including those used in pharmaceutical products such as tablets, nasal sprays and asthma inhalers. The system is also gaining recognition in other industry areas, including leading edge cement research.

Simple SOP operation takes the user from integrated sample dispersion for dry powders through to size, shape and chemical analysis, with automatic selection, targeting and chemical classification of thousands of individual particles. Measurements can be made on dry powders, suspensions and membrane filters.

The system automatically measures the size and shape of particles in a dispersed sample. In contrast with other chemical mapping and imaging techniques, there is no compromise on the reliability of particle size and shape data. It then automatically finds the selected particles and collects a Raman spectrum from each. Chemical identification of individual particles based upon established spectroscopic algorithms is incorporated in the Morphologi G3-ID software, allowing enumeration of defined classes of particles and measurement of component specific characteristics in a blend.

Lab Asia Dec 2025

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