Statistical and Artificial Neural Network Approaches to Modeling and Optimization of Fermentation Conditions for Production of a Surface/Bioactive Glyco-lipo-peptide

A freshwater alkaliphilic strain of Pseudomonas aeruginosa, grown on waste frying oil-basal medium, produced a surface-active metabolite identified as glycolipopeptide. Bioprocess conditions namely temperature, pH, agitation and duration were comparatively modeled using statistical and artificial ne...

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Detalles Bibliográficos
Autores principales: Ekpenyong, Maurice, Asitok, Atim, Antai, Sylvester, Ekpo, Bassey, Antigha, Richard, Ogarekpe, Nkpa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7375705/
https://www.ncbi.nlm.nih.gov/pubmed/32837457
http://dx.doi.org/10.1007/s10989-020-10094-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7375705/
https://www.ncbi.nlm.nih.gov/pubmed/32837457
http://dx.doi.org/10.1007/s10989-020-10094-8

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