Optimal experimental design for discriminating between microbial growth models as function of suboptimal temperature: From in silico to in vivo
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- 作者：I. Stamati ; S. Akkermans ; F. Logist ; E. Noriega ; J. Van Impe ; jan.vanimpe@kuleuven.be" class="auth_mail" title="E-mail the corresponding author
- 关键词：Predictive microbiology ; Model discrimination ; Dynamic modeling ; Optimization ; Optimal experiment design
- 刊名：Food Research International
- 出版年：2016
- 出版时间：November 2016
- 年：2016
- 卷：89
- 期：part_P1
- 页码：689-700
- 全文大小：1067 K
文摘
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Optimal experiment design is used to discriminate between microbial kinetics.
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CTMI and aCTMI models are used for modeling Escherichia coli.
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Discrimination is investigated as well in silico as in vivo.
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Optimal dynamic temperature profiles are computed and applied in vivo.