Development of a Prediction Method of Cell Density in Autotrophic/Heterotrophic Microorganism Mixtures by Machine Learning Using Absorbance Spectrum Data

Microflora is actively used to produce value-added materials in industry, and each cell density should be controlled for stable microflora use. In this study, a simple system evaluating the cell density was constructed with artificial intelligence (AI) using the absorbance spectra data of microflora...

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Detalles Bibliográficos
Autores principales: Nakanishi, Akihito, Fukunishi, Hiroaki, Matsumoto, Riri, Eguchi, Fumihito
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9624369/
https://www.ncbi.nlm.nih.gov/pubmed/36278558
http://dx.doi.org/10.3390/biotech11040046

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9624369/
https://www.ncbi.nlm.nih.gov/pubmed/36278558
http://dx.doi.org/10.3390/biotech11040046

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