A Binary Logistic Regression Model as a Tool to Predict Craft Beer Susceptibility to Microbial Spoilage

Beer spoilage caused by microorganisms, which is a major concern for brewers, produces undesirable aromas and flavors in the final product and substantial financial losses. To address this problem, brewers need easy-to-apply tools that inform them of beer susceptibility to the microbial spoilage. In...

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Detalles Bibliográficos
Autores principales: Rodríguez-Saavedra, Magaly, Pérez-Revelo, Karla, Valero, Antonio, Moreno-Arribas, M. Victoria, González de Llano, Dolores
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8391359/
https://www.ncbi.nlm.nih.gov/pubmed/34441703
http://dx.doi.org/10.3390/foods10081926

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8391359/
https://www.ncbi.nlm.nih.gov/pubmed/34441703
http://dx.doi.org/10.3390/foods10081926

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