Artificial neural network based optimization of sunflower oil supplementation in polyhydroxyalkanoates production by Cupriavidus necator-Reference-Cited by-同舟云学术

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Artificial neural network based optimization of sunflower oil supplementation in polyhydroxyalkanoates production by Cupriavidus necator

Published:2024-07 Issue: Volume:59 Page:103281
ISSN:1878-8181
Container-title:Biocatalysis and Agricultural Biotechnology
language:en
Short-container-title:Biocatalysis and Agricultural Biotechnology

Author:

Laurence Abimala,Sahu Nageswar^ORCID,Mahanty Biswanath^ORCID

Publisher

Elsevier BV

Reference67 articles.

1. Machine learning-enabled NIR spectroscopy. Part 3: hyperparameter by design (HyD) based ANN-MLP optimization, model generalizability, and model transferability;Ali;AAPS PharmSciTech,2023

2. Mixture design of starchy substrates hydrolysis by an immobilized glucoamylase from Aspergillus brasiliensis;Almeida;Biocatal. Biotransform.,2018

3. Polyhydroxyalkanoate production using waste vegetable oil and filtered digestate liquor of chicken manure;Altun;Prep. Biochem. Biotechnol.,2019

4. Production and optimization of polyhydroxyalkanoates from non-edible Calophyllum inophyllum oil using Cupriavidus necator;Arumugam;Int. J. Biol. Macromol.,2018

5. Evaluation of polyhydroxyalkanoates production by Cupriavidus necator and burkholderia cepacia strains using sunflower seed and oil;Bandeira;Waste and Biomass Valorization,2020

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