AI-Assisted Response Surface Methodology for Growth Optimization and Industrial Applicability Evaluation of the Diatom <i>Gedaniella flavovirens</i> GFTA21.

ABSTRACT: Although AI-mediated approaches provide promising support for bioengineering using training datasets, their application in microalgal research remains limited. In this study, ChatGPT-4.0, an easily accessible AI model, was employed to optimize culture conditions and evaluate the industrial potential of the isolated diatom Gedaniella flavovirens. Culture optimization was conducted using response surface methodology, in which pH, temperature, and salinity were selected as independent variables. ChatGPT assisted in determining the design and suggested a face-centered central composite design. The optimal conditions for biomass production were determined to be pH 8.30, 23 °C, and 34.24 psu. Analysis of variance revealed significant quadratic effects (p < 0.05), indicating curvatu

SUBMITTER: Kim ES 

PROVIDER: S-EPMC12650378 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature