A binary logistic regression model as a tool to predict craft beer susceptibility to microbial spoilage
This article belongs to the Special Issue Microbiological Risk Assessment in Foods.
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| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | artículo biblioteca |
| Language: | English |
| Published: |
Multidisciplinary Digital Publishing Institute
2021
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| Subjects: | Spoilage microorganisms, Model development, Susceptibility prediction, Growth/no growth, Antimicrobial hurdles, Beer intrinsic factors, |
| Online Access: | http://hdl.handle.net/10261/262553 http://dx.doi.org/10.13039/501100011033 http://dx.doi.org/10.13039/100012818 http://dx.doi.org/10.13039/501100000780 |
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