2022
DOI: 10.1016/j.crfs.2022.02.002
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Development of a predictive model of the microbial inactivation of L. monocytogenes during low thermal treatment of fruit juices in combination with carvacrol as aroma compound

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Cited by 4 publications
(5 citation statements)
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“…Stressed cells constitute an “undetectable” population that are not able to grow on agar plates, therefore leaving an open question on the potential risks for real food matrices if suitable preservation and monitoring practices are not followed. Mild heat treatments increase the inhibitory effect of OEO by altering the membrane fluidity and composition and promoting the formation of the vapor phase of the oil’s volatile compounds [ 7 , 13 ]. OEO can coagulate the cytoplasm and determine damage to lipids and proteins, potentially leading to cell lysis [ 24 ].…”
Section: Resultsmentioning
confidence: 99%
See 3 more Smart Citations
“…Stressed cells constitute an “undetectable” population that are not able to grow on agar plates, therefore leaving an open question on the potential risks for real food matrices if suitable preservation and monitoring practices are not followed. Mild heat treatments increase the inhibitory effect of OEO by altering the membrane fluidity and composition and promoting the formation of the vapor phase of the oil’s volatile compounds [ 7 , 13 ]. OEO can coagulate the cytoplasm and determine damage to lipids and proteins, potentially leading to cell lysis [ 24 ].…”
Section: Resultsmentioning
confidence: 99%
“…In fact, the temperature-induced cellular stress enhanced its bacteriostatic action even at a non-acid pH [ 13 ]. Moreover, during these combined treatments, the antimicrobial activity of OEO was possibly enhanced by its vapor pressure and its octanol/water partition coefficient (hydrophobicity) that varied with the tested treatment temperature [ 7 ].…”
Section: Resultsmentioning
confidence: 99%
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“…Regarding the quality change of food at different temperatures, a model that can describe the temperature dependence must be used, such as the Q 10 model (Olivera & Salvadori, 2012; Zou & Li, 2020), Eyring and Ball models (Remini et al., 2015), Arrhenius equation (Giannoglou et al., 2019), and Weibull model (de Oliveira et al., 2013; Tchuenchieu et al., 2022).…”
Section: Introduction and Mechanism Of Shelf Life Modelmentioning
confidence: 99%