Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.14/6213
Título: Modelling the inactivation of Bacillus subtilis spores by ethylene oxide processing
Autor: Mendes, G. C.
Brandão, T. R. S.
Silva, C. L. M.
Data: 2009
Citação: MENDES, G. C. ; BRANDÃO, T. R. S. ; SILVA, C. L. M. - Modelling the inactivation of Bacillus subtilis spores by ethylene oxide processing. In World Congress of Sterilization, 10, Crete, Greece, 7-10 October, 2009 - Proceedings of the 10th World Congress of Sterilization. [S.l. : s.n., 2009]. ISBN 978-960-89379-5-6. 23 p.
Resumo: Ethylene oxide is currently a dominant agent in medical devices sterilization. This work intends to study the main effects and interactions of temperature (T), ethylene oxide (EO) concentration and relative humidity (RH) on commercial spore strips of Bacillus subtilis, var. niger (ATCC 9372) inactivation, the most common microorganism used in controlling the efficacy of the process. Experiments were carried out using a full factorial experimental design at two levels (23 factorial design). Limit target exposure conditions for EO concentration, temperature and relative humidity were 250 - 1000 mg EO/L, 40 - 60 °C and 50 - 90 %, respectively. Adopting a different approach from the first order kinetics, a Gompertz model was successfully applied in data fitting of the inactivation curves. Bacillus subtilis kinetic behaviour presented a sigmoidal inactivation with an initial shoulder (λ), followed by a maximum inactivation rate (kmax), these being model parameters. The influence of the referred environmental factors on lethality was assessed through λ and kmax estimates. It was concluded that, temperature and EO concentration were the most significant factors and consequently, additional experiments were carried out aiming at describing the parameters dependence on these process factors. Mathematical relations describing such dependences were successfully developed and included in the Gompertz kinetic model. The predictive ability of this integrated model was assessed, and its adequacy in predicting B. subtilis inactivation was proven.
Peer review: no
URI: http://hdl.handle.net/10400.14/6213
Aparece nas colecções:CBQF - Artigos em actas / Papers in proceedings

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