title: Modeling with the logistic regression of the growth/no growth interface of Saccharomyces cerevisiae in relation to 2 antimicrobial terpenes (citral and linalool), pH, and a(w).
abstract: The antimicrobial effects of 2 terpenes (citral and linalool) on a Saccharomyces cerevisiae strain isolated from spoiled soft drink have been evaluated, alone or in combination, in relation to pH and aw using in vitro assays. The obtained data were fitted with the logit model to find the growth/no growth boundary regions of the 2 terpenes, focusing the attention on the type of interaction exerted by citral and linalool. In particular, the results showed an increase of citral antimicrobial effect in growth media characterized by low aw value, as well as a higher linalool antimicrobial effect in media at low pH. Moreover, the interactive effects of the 2 terpenes were exploited. The results obtained with the model were validated in an independent experiment. The knowledge of the interactions of essential oil molecules with enhanced antimicrobial activity, in relation to some of the most important chemicophysical variables, can have important industrial applications, since these substances are able to assure the desired antimicrobial effect without negatively modifying the product flavor profile.
  
  
  CONCLUSIONS
  The effects of the main chemicophysical parameters (such as aw and pH) on the antimicrobial activity of bioactive terpenes are necessary for the definition of an industrially applicable preservation strategy based on the use of essential oils as natural antimicrobials aimed to prolong shelf life of food products.
authors.affiliation: Centro Interdipartimentale di Ricerca Industriale Agroalimentare, Univ. degli Studi di Bologna, Sede di Cesena, Piazza Goidanich 60, 47521, Cesena, (FC), Italy.
authors.forename: Giulia
authors.initials: G
authors.lastname: Tabanelli
authors.forename: Chiara
authors.initials: C
authors.lastname: Montanari
authors.forename: Francesca
authors.initials: F
authors.lastname: Patrignani
authors.forename: Lorenzo
authors.initials: L
authors.lastname: Siroli
authors.forename: Rosalba
authors.initials: R
authors.lastname: Lanciotti
authors.forename: Fausto
authors.initials: F
authors.lastname: Gardini
mesh_terms: D000080462:Acyclic Monoterpenes; D000890:Anti-Infective Agents / Q000494:pharmacology*; D002253:Carbonated Beverages / Q000382:microbiology; D005516:Food Microbiology; D005519:Food Preservation; D006801:Humans; D006863:Hydrogen-Ion Concentration; D016015:Logistic Models; D039821:Monoterpenes / Q000494:pharmacology*; D009822:Oils, Volatile / Q000494:pharmacology*; D012441:Saccharomyces cerevisiae / Q000254:growth & development* / Q000302:isolation & purification; D013649:Taste; D013729:Terpenes / Q000494:pharmacology
chemical_list: D000080462:Acyclic Monoterpenes; D000890:Anti-Infective Agents; D039821:Monoterpenes; D009822:Oils, Volatile; D013729:Terpenes; C018584:linalool; C007076:citral
keywords: Saccharomyces cerevisiae; antimicrobial compounds; citral; linalool; predictive modeling