Predictive modeling of survival/death of Listeria monocytogenes in liquid media: Bacterial responses to cinnamon essential oil, ZnO nanoparticles, and strain

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• 作者：Esmail Abdollahzadeh^a ; Seyed Mahdi Ojagh^a ; ^{mahdi_ojagh@yahoo.com} ; Hedayat Hosseini^b ; Gholamreza Irajian^c ; ^{Dr.irajian@gmail.com} ; Ezzat Allah Ghaemi^d
• 关键词：Listeria monocytogenes ; ZnO nanoparticles ; Strain variation ; Essential oil ; Neuro-fuzzy inference system
• 刊名：Food Control
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：73
• 期：part_PB
• 页码：954-965
• 全文大小：2809 K
• 卷排序：73

文摘

Development of a neuro-fuzzy architecture for modeling L.M in vitro and in situ. ANFIS is proven to be a useful method in modeling L.M in complex food systems. ANFIS performance improved with triangular-shaped membership functions. Using cinnamon oil and ZnO NPs generated some strain-specific variation.