Cambridge researchers developing self-healing concrete
30th November 2018
Researchers from the University of Cambridge are developing microcapsules containing ‘healing’ agents – such as exoxy or polyurethane – which can be added to building materials to allow self-repair of small cracks which develop over time.
Dolomite Microfluidics highlights of MicroTAS 2018
29th November 2018
Dolomite Microfluidics attended our biggest event of the year in November – MicroTAS! Here’s the lowdown on our time spent in Kaohsiung, Taiwan…
How do I make PLGA microparticles?
11th July 2018
Drug encapsulation with in polymeric particles, such as poly(lactic-co-glycolic acid) (PLGA), has been common practice for the last 20 years. Until now however, methodologies commonly used to create such particles have been ineffective and wasteful. Conventional batch methods produce particles and beads with a wide range of diameters in each batch, meaning that the specific properties of the beads may vary significantly across the sample. By contrast, microfluidic technologies enable the production of highly monodisperse particles in a single step, thereby increasing the yield of on-specification bead sizes.
Dolomite introduces new specialist chemicals to assist emulsion stabilization
6th July 2018
Dolomite Microfluidics now offers a range of specialist chemicals designed to stabilise a variety of emulsions. By forming highly stable and reproducible emulsions, our products enable high retention of droplet contents, rapid rates of droplet formation, as well as controlled emulsion breaking when required.
Methods of diverse API encapsulation in polymer beads
11th June 2018
Until now commonly used encapsulation methods (such as high-shear mixing or sonication) have been ineffective and wasteful. By contrast, droplet microfluidic technology enables high encapsulation efficiency and the fabrication of unique formulations that are difficult or impossible to achieve using standard methodologies. This gives researchers access to variety of formulation that can be fine-tuned depending on the nature of the (API) and specific functional requirements.