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A Binary Logistic Regression Model as a Tool to Predict Cra..:
Magaly Rodríguez-Saavedra
;
Karla Pérez-Revelo
;
Antonio Valero
..
https://www.mdpi.com/2304-8158/10/8/1926. , 2021
Link:
https://doi.org/10.3390/foods10081926
RT Journal T1
A Binary Logistic Regression Model as a Tool to Predict Craft Beer Susceptibility to Microbial Spoilage
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:aa2f32ecc4d44c229c26cd383f69a5e2&Exemplar=1&LAN=DE A1 Magaly Rodríguez-Saavedra A1 Karla Pérez-Revelo A1 Antonio Valero A1 M. Victoria Moreno-Arribas A1 Dolores González de Llano PB MDPI AG YR 2021 K1 spoilage microorganisms K1 susceptibility prediction K1 antimicrobial hurdles K1 beer intrinsic factors K1 growth/no growth K1 model development K1 Chemical technology K1 TP1-1185 JF https://www.mdpi.com/2304-8158/10/8/1926 LK http://dx.doi.org/https://doi.org/10.3390/foods10081926 DO https://doi.org/10.3390/foods10081926 SF ELIB - SuUB Bremen
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