Data-driven intelligent modeling, optimization, and global sensitivity analysis of a xanthan gum biosynthesis process

Amenaghawon, Andrew Nosakhare; Igemhokhai, Shedrach; Eshiemogie, Stanley Aimhanesi; Ugbodu, Favour; Evbarunegbe, Nelson Iyore

doi:10.1016/j.heliyon.2024.e25432

Heliyon

2024

DOI: 10.1016/j.heliyon.2024.e25432

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Data-driven intelligent modeling, optimization, and global sensitivity analysis of a xanthan gum biosynthesis process

Andrew Nosakhare Amenaghawon,

Shedrach Igemhokhai,

Stanley Aimhanesi Eshiemogie

et al.

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Cited by 2 publications

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Data-driven intelligent modeling, optimization, and global sensitivity analysis of a xanthan gum biosynthesis process

Cited by 2 publications

References 68 publications

Surfactant-facilitated metabolic induction enhances lipase production from an optimally formulated waste-derived substrate mix using Aspergillus niger: A case of machine learning modeling and metaheuristic optimization

Surfactant-facilitated metabolic induction enhances lipase production from an optimally formulated waste-derived substrate mix using Aspergillus niger: A case of machine learning modeling and metaheuristic optimization

Characterization and evaluation of the adsorption of uremic toxins through the pyrolysis of pineapple leaves and peels and by forming a bio-complex with sodium alginate

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