Machine learning-based prediction models unleash the enhanced production of fucoxanthin in Isochrysis galbana.

ABSTRACT:

Introduction

The marine microalga Isochrysis galbana is prolific producer of fucoxanthin, which is a xanthophyll carotenoid with substantial global market value boasting extensive applications in the food, nutraceutical, pharmaceutical, and cosmetic industries. This study presented a novel integrated experimental approach coupled with machine learning (ML) models to predict the fucoxanthin content in I. galbana by altering the type and concentration of phytohormone supplementation, thus overcoming the multiple methodological limitations of conventional fucoxanthin quantification.

Methods

A novel integrated experimental approach was developed, analyzing the effect of varying phytohormone types and concentrations on fucoxanthin production in I. galbana. Mo

SUBMITTER: Manochkumar J 

PROVIDER: S-EPMC11521944 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature