Nanoparticles including liposomes are increasingly used for delivery of drug molecules. During formulation of a liposome around a drug particle, a relatively large amount of free drug may remain unencapsulated and therefore not available for drug delivery via the liposomal carrier. For formulation groups adopting this drug delivery methodology it is important to quantify the amount of free versus encapsulated drug in a product in order to accurately determine the delivered dose of drug to a patient.
Read more … Technique for Characterising Liposome Formulated Drugs
Postnova Analytics reports on how Asymmetrical Flow Field-Flow Fractionation coupled to Multi Angle Light Scattering (AF4-MALS) has been successfully used to characterise a polydisperse cellulose nanocrystal for size and thickness in just 40 minutes analysis time.
Read more … Fast Measurement of Nanocrystal Length & Thickness
Postnova Analytics reports on how Thermal Field Flow Fractionation has been successfully used to elucidate the core microstructure, morphology and chain arrangement of self-assembling block copolymers. This pioneering study was undertaken by the renowned research group under Professor H Pasch at the Department of Chemistry and Polymer Science, University of Stellenbosch (South Africa).
Read more … Separation & Characterisation of Self Assembling Block Copolymers
Postnova Analytics has published a new application note that describes a new approach for analysis of titanium dioxide nanoparticles in commercial sunscreens. The technique, which combines Inverse Supercritical Fluid Extraction (I-SFE) and Miniaturized Asymmetrical Flow Field-Flow Fractionation hyphenated with UV-Vis and Multi Angle Light Scattering (mAF4-UV-MALS) represents a promising tool for the verification of the nano-labelling of such products.
Read more … Analysis of Nanoparticles in Commercial Sunscreens
Postnova Analytics has published a new poster that compares the suitability of Electrical Asymmetrical Flow Field-Flow Fractionation (EAF4) and Size Exclusion Chromatography (SEC) for determining the physicochemical and biophysical attributes of monoclonal antibodies.
Read more … Comparative Analysis of a Complex Monoclonal Antibody
Postnova Analytics announce in a joint collaboration with the Department of Biosciences at the University of Helsinki (Finland), that Asymmetrical Flow Field-Flow Fractionation (AF4) was successfully employed for the purification of halophilic (extreme) viruses.
Read more … Efficient Purification of Extreme Viruses
Postnova Analytics report on how researchers from the Institute for Health and Consumer Protection at the European Commission Joint Research Centre (Ispra, Italy) and the University of Ferrara have used AF2000 Asymmetric Flow Field-Flow Fractionation (AF4) system and Model S101 Sedimentation Flow-Field Fractionation (SdFFF) systems in some ground-breaking research.
Read more … Comparing Methods to Detect, Size and Quantify Silver Nanoparticles
Postnova Analytics reports on how the SWAMP ultra-clean research facility* at the University of Alberta (Alberta, Canada) has been using the AF2000 Flow field flow fractionation system coupled to Inductively Coupled Plasma Mass Spectrometry (ICP-MS), UV and fluorescence detectors to characterise trace metal colloid distribution in the environment.
Read more … Measuring Trace Metal Colloid Distribution in The Environment
Postnova Analytics reports on how the inorganic analysis team within LGC (Teddington, UK) has been using the AF2000 Field Flow Fractionation system coupled to Inductively Coupled Plasma Mass Spectrometry (ICP-MS) to characterise nanomaterials in complex food sample matrices.
Read more … Characterisation of Nanomaterials in Foods
Postnova Analytics reports that the Department of Molecular Biology & Biotechnology at the University of Sheffield (UK) is using their AF2000 Field Flow Fractionation system to investigate the mechanism of amyloid formation, a protein mis-folding process implicated to be the cause of Alzheimer’s and other neurodegenerative diseases.
Read more … Unlocking the Puzzle of Neurodegenerative Diseases