Probabilistic modeling of Saccharomyces cerevisiae inhibition under the effects of water activity, pH, and potassium sorbate concentration
Probabilistic microbial modeling using logistic regression was used to predict the boundary between growth and no growth of Saccharomyces cerevisiae at selected incubation periods (50 and 350 h) in the presence of growth-controlling factors such as water activity (a(w); 0.97, 0.95, and 0.93), pH (6....
Guardado en:
| Autores principales: | López-Malo Vigil, Aurelio, Guerrero, Sandra, Alzamora, Stella Maris |
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| Publicado: |
2000
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| Materias: | |
| Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_0362028X_v63_n1_p91_LopezMalo http://hdl.handle.net/20.500.12110/paper_0362028X_v63_n1_p91_LopezMalo |
| Aporte de: |
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