title: Application of mathematical models for bacterial inactivation curves using Hypericin-based photosensitization.
abstract: OBJECTIVE
  The aim of this study was to evaluate which of the three mathematical models (Weibull, Geeraerd and Logistic) makes the best approximation for Hypericin-based photosensitization bacterial inactivation.
  
  
  RESULTS
  The inactivation of common food-borne pathogens Listeria monocytogenes and Bacillus cereus has been analysed. Three models, Weibull, Logistic and Geeraerd, have been used for different treatment conditions (10(-7 ) mol l(-1) and 10(-8)  mol l(-1) Hypericin concentrations and 2 and 60 min incubation time). The Logistic method showed better correspondence (estimated R(2)  ≥ 0·98, RMSE ≤ 0·41), than the Weibull (estimated R(2)  ≥ 0·91, RMSE ≤ 0·90) and the Geeraerd model (R(2)  ≥ 0·83, RMSE ≤ 1·27). After evaluation of best fitting model for the dependence of bacterial population reduction on irradiation time, the parameters describing treatment efficiency have been calculated.
  
  
  CONCLUSIONS
  Our results indicate that the Logistic model described in the best way the inactivation of B. cereus and L. monocytogenes by Hypericin-based photosensitization.
  
  
  CONCLUSIONS
  This study identified a best model for describing bacterial inactivation by hypericin-based photosensitization, which provides a way to evaluate the efficacy of different treatment conditions for this novel decontamination technique.
authors.affiliation: Institute of Applied Research, Vilnius University, Vilnius, Lithuania.
authors.forename: D
authors.initials: D
authors.lastname: Dementavicius
authors.affiliation: Institute of Applied Research, Vilnius University, Vilnius, Lithuania.
authors.forename: V
authors.initials: V
authors.lastname: Lukseviciute
authors.affiliation: Institute of Applied Research, Vilnius University, Vilnius, Lithuania.|Cátedra Alimentos para la Salud, Departamento de Tecnología de la Alimentación y Nutrición, Facultad de Ciencias de la Salud, UCAM Universidad Católica San Antonio de Murcia, España, Guadalupe, Spain.
authors.forename: V M
authors.initials: VM
authors.lastname: Gómez-López
authors.affiliation: Institute of Applied Research, Vilnius University, Vilnius, Lithuania.|Faculty of Mathematics and Informatics, Vilnius University, Vilnius, Lithuania.
authors.forename: Z
authors.initials: Z
authors.lastname: Luksiene
mesh_terms: D000873:Anthracenes; D001409:Bacillus cereus / Q000502:physiology / Q000528:radiation effects*; D003666:Decontamination / Q000379:methods*; D005516:Food Microbiology; D008027:Light; D008089:Listeria monocytogenes / Q000502:physiology / Q000528:radiation effects*; D008954:Models, Biological; D010569:Perylene / Q000031:analogs & derivatives* / Q000494:pharmacology; D011838:Radiation-Sensitizing Agents / Q000494:pharmacology*
chemical_list: D000873:Anthracenes; D011838:Radiation-Sensitizing Agents; D010569:Perylene; C004965:hypericin
keywords: Bacillus cereus; Hypericin; Listeria monocytogenes; mathematical modelling; photoinactivation