Highlights
This study validates a model of algal productivity against indoor and outdoor data.
The validated model accounts for light, temperature and nitrogen concentration.
The model was calibrated by using data independent from data used for validation.
This study proposes an approach to predict carotenoids in full-scale conditions.
The model can be used to predict biofuel and carotenoids production at full-scale.
Highlights CO2 transfer rates were characterized at full-scale in an algal open pond. A pH set point above optimal value of 7.2 reduces CO2 losses and algal productivity. Water level does not...
Abstract Microalgae are considered a sustainable source of high-value products with health benefits. Marine algae-derived omega-3...
Microalgae are considered a promising source of various high-value products with health benefits. They have the advantages of not containing cholesterol, having a...
Microalgae are a promising source of resources and bulk chemicals for various applications such as nutrition, aquaculture, cosmetics and, at a longer time scale, biofuels or...
Abstract Microalgae are microorganisms which have been only recently used for biotechnological applications, especially in the perspective of biofuel production. Here we focus on...
Industrial Engineer
Mathis Mei
Mathis, thanks to his knowledge as a bio-process engineer and his past experiences in the field of microalgae, contributes to the transfer of R&D innovations to the industrial level. Graduated from the School of Industrial Biology (EBI) and Compiègne University of Technology (UTC), he combines his passion for biotechnologies with his desire for innovation.
