Hanover training course

During the last week of March 18-21, the Spring School course “UV/Vis spectroscopic online sensor set-up for microalgae processes” took place in the city of Hanover, Germany. This dynamic training took place mainly at the Institute of Technical Chemistry (TCI) of the Leibniz University of Hanover. The workshop started with the presentations of the ESRs

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DigitAlgaesation Winter School in Padova

The city of Padova, Italy, hosted during the week of February 05-09 the Winter School “Entrepreneurship and Startup” taught by Prof. Moreno Muffatto. The course consisted of 8 modules structured in a systematic and progressive way with the aim of familiarizing ESRs with the world of entrepreneurship and startup development. The workshop was developed in

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Genetic engineering is a powerful tool – how reduced shading of microalgae strains can improve algal growth in photobioreactors

By Tim Michelberger Microalgae are highly interesting organisms for photosynthetic research and industrial applications. These unicellular eukaryotic organisms exhibit the highest photosynthesis and growth rates amongst photosynthetic organisms and produce many interesting compounds such as lipids, pigments, or proteins that find broad application, for example, in the food and feed industries or pharmaceutical products. In

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Optimizing large-scale microalgae-based wastewater treatment: a comprehensive modelling approach

By Rebecca Nordio Microalgae-based wastewater systems are highly complex from a biological point of view. In wastewater, microalgae coexist with thousands of different microorganisms in a unique ecosystem that allows the efficient recovery of nutrients (such as nitrogen and phosphorus) naturally present in this type of medium. In these systems, microalgae interact not only with

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Optimal controls related to microalgae cultivation

By Ignacio Fierro In recent years, there has been a notable increase in the industrial cultivation of microalgae, accompanied by the development of new technologies such as photobioreactors, sensors, and controllers. These new technologies are capable of estimating biomass inside the photobioreactor. When the data is recorded, mathematical models can be fitted in order to

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