High-yield astaxanthin production process development and scale-up validation from wild-type <i>Phaffia rhodozyma</i> via parameter optimization and LSTM modeling.

ABSTRACT:

Introduction

This study developed an integrated strategy to significantly enhance astaxanthin production from wild-type Phaffia rhodozyma GDMCC 2.218, addressing the need for improved natural astaxanthin yields through non-genetically modified approaches.

Methods

The research combined traditional parameter optimization with LSTM (Long Short-Term Memory) intelligent modeling. Systematic optimization of fermentation conditions was conducted in 500 mL bioreactors, followed by scale-up to 5 L systems. An innovative LSTM prediction model was constructed to predict astaxanthin concentration throughout the fermentation process.

Results

Optimal fermentation conditions were determined as temperature 20°C, pH 4.5, and dissolved oxygen 20%, achieving an astaxanthin yield

SUBMITTER: Chen P 

PROVIDER: S-EPMC12425955 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature