Integration of spectroscopic techniques and machine learning for optimizing Phaeodactylum tricornutum cell and fucoxanthin productivity.

The development of sustainable and controlled microalgae bioprocesses relies on robust and rapid monitoring tools that facilitate continuous process optimization, ensuring high productivity and minimizing response times. In this work, we analyse the influence of medium formulation on the growth and productivity of axenic Phaeodactylum tricornutumcultures and use the resulting data to develop machine learning (ML) models based on spectroscopy. Our culture assays produced a comprehensive dataset of 255 observations, enabling us to train 55 (24+31) robust models that predict cells or fucoxanthin directly from either absorbance or 2D-fluorescence spectroscopy.

Whole genome sequence of Paracoccus sp. NFXS7, a carotenoid-producing bacterium isolated from a marine saltern.

The study presents the whole genome sequence of the carotenoid-producing sp. NFXS7, isolated from a marine saltern in Setúbal, Portugal. The carotenoid-producing strain NFXS7 contains homologs of the genes involved in astaxanthin biosynthesis, making it a promising candidate for biotechnological applications.

sp. NFXS83 in Marine Biotechnological Applications: From Microalgae Growth Promotion to the Production of Secondary Metabolites.

Marine bacteria are a significant source of bioactive compounds for various biotechnological applications. Among these, actinomycetes have been found to produce a wide range of secondary metabolites of interest. is one of the genera of actinomycetes that has been recognized as a potential source of these compounds.