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Journal of Food Quality
Volume 2018 (2018), Article ID 1726761, 10 pages
https://doi.org/10.1155/2018/1726761
Research Article

Modeling the Combined Effects of Temperature, pH, and Sodium Chloride and Sodium Lactate Concentrations on the Growth Rate of Lactobacillus plantarum ATCC 8014

Francieli Dalcanton,1 Elena Carrasco,2 Fernando Pérez-Rodríguez,2 Guiomar Denisse Posada-Izquierdo,2 Gláucia Maria Falcão de Aragão,3 and Rosa María García-Gimeno2

1Universidade Comunitária da Região de Chapecó (UNOCHAPECÓ), Av. Senador Atílio Fontana, 591-E, Caixa Postal 1141, 89809-000 Chapecó, SC, Brazil
2Department of Food Science and Technology, University of Córdoba, Agrifood Campus of International Excellence (ceiA3), Campus Rabanales, Edif. C-1, 14014 Córdoba, Spain
3Department of Chemical and Food Engineering, Federal University of Santa Catarina, 88040-900 Florianópolis, SC, Brazil

Correspondence should be addressed to Guiomar Denisse Posada-Izquierdo; se.ocu@gziop2tb

Received 10 November 2017; Accepted 23 January 2018; Published 19 February 2018

Academic Editor: Maria Rosaria Corbo

Copyright © 2018 Francieli Dalcanton et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. S. Li, Y. Zhao, L. Zhang et al., “Antioxidant activity of Lactobacillus plantarum strains isolated from traditional Chinese fermented foods,” Food Chemistry, vol. 135, no. 3, pp. 1914–1919, 2012. View at Publisher · View at Google Scholar · View at Scopus
  2. P. R. Massaguer, Microbiologia dos Processos Alimentares, Varela, São Paulo, Brazil, 2005.
  3. M. S. Rao, J. Pintado, W. F. Stevens, and J. P. Guyot, “Kinetic growth parameters of different amylolytic and non-amylolytic lactobacillus strains under various salt and pH conditions,” Bioresource Technology, vol. 94, no. 3, pp. 331–337, 2004. View at Publisher · View at Google Scholar · View at Scopus
  4. E. C. P. De Martinis, V. F. Alves, and B. D. G. M. Franco, “Fundamentals and perspectives for the use of bacteriocins produced by lactic acid bacteria in meat products,” Food Reviews International, vol. 18, no. 2-3, pp. 191–208, 2002. View at Publisher · View at Google Scholar · View at Scopus
  5. S.-S. Grosu-Tudor, M.-M. Stancu, D. Pelinescu, and M. Zamfir, “Characterization of some bacteriocins produced by lactic acid bacteria isolated from fermented foods,” World Journal of Microbiology and Biotechnology, vol. 30, no. 9, pp. 2459–2469, 2014. View at Publisher · View at Google Scholar · View at Scopus
  6. R. Hammami, A. Zouhir, C. Le Lay, J. Ben Hamida, and I. Fliss, “BACTIBASE second release: a database and tool platform for bacteriocin characterization,” BMC Microbiology, vol. 10, article 22, 2010. View at Publisher · View at Google Scholar · View at Scopus
  7. O. Pringsulaka, N. Thongngam, N. Suwannasai, W. Atthakor, K. Pothivejkul, and A. Rangsiruji, “Partial characterisation of bacteriocins produced by lactic acid bacteria isolated from Thai fermented meat and fish products,” Food Control, vol. 23, no. 2, pp. 547–551, 2012. View at Publisher · View at Google Scholar · View at Scopus
  8. D. Molenaar, F. Bringel, F. H. Schuren, W. M. De Vos, R. J. Siezen, and M. Kleerebezem, “Exploring Lactobacillus plantarum genome diversity by using microarrays,” Journal of Bacteriology, vol. 187, no. 17, pp. 6119–6127, 2005. View at Publisher · View at Google Scholar · View at Scopus
  9. R. J. Siezen, V. A. Tzeneva, A. Castioni et al., “Phenotypic and genomic diversity of Lactobacillus plantarum strains isolated from various environmental niches,” Environmental Microbiology, vol. 12, no. 3, pp. 758–773, 2010. View at Publisher · View at Google Scholar · View at Scopus
  10. M. Jiang, F. Zhang, C. Wan et al., “Evaluation of probiotic properties of Lactobacillus plantarum WLPL04 isolated from human breast milk,” Journal of Dairy Science, vol. 99, no. 3, pp. 1736–1746, 2016. View at Publisher · View at Google Scholar · View at Scopus
  11. C. Eckert, V. G. Serpa, A. C. Felipe dos Santos et al., “Microencapsulation of Lactobacillus plantarum ATCC 8014 through spray drying and using dairy whey as wall materials,” LWT- Food Science and Technology, vol. 82, pp. 176–183, 2017. View at Publisher · View at Google Scholar · View at Scopus
  12. N. Aoudia, A. Rieu, R. Briandet et al., “Biofilms of Lactobacillus plantarum and Lactobacillus fermentum: effect on stress responses, antagonistic effects on pathogen growth and immunomodulatory properties,” Food Microbiology, vol. 53, pp. 51–59, 2016. View at Publisher · View at Google Scholar · View at Scopus
  13. J. Karczewski, F. J. Troost, I. Konings et al., “Regulation of human epithelial tight junction proteins by Lactobacillus plantarum in vivo and protective effects on the epithelial barrier,” American Journal of Physiology-Gastrointestinal and Liver Physiology, vol. 298, no. 6, pp. G851–G859, 2010. View at Publisher · View at Google Scholar · View at Scopus
  14. I. Khan and S. C. Kang, “Probiotic potential of nutritionally improved Lactobacillus plantarum DGK-17 isolated from Kimchi—A traditional Korean fermented food,” Food Control, vol. 60, pp. 88–94, 2016. View at Publisher · View at Google Scholar · View at Scopus
  15. B. W. Lash, T. H. Mysliwiec, and H. Gourama, “Detection and partial characterization of a broad-range bacteriocin produced by Lactobacillus plantarum (ATCC 8014),” Food Microbiology, vol. 22, no. 2-3, pp. 199–204, 2005. View at Publisher · View at Google Scholar · View at Scopus
  16. T. D. T. Nguyen, J. H. Kang, and M. S. Lee, “Characterization of Lactobacillus plantarum PH04, a potential probiotic bacterium with cholesterol-lowering effects,” International Journal of Food Microbiology, vol. 113, no. 3, pp. 358–361, 2007. View at Publisher · View at Google Scholar · View at Scopus
  17. L. Leistner, “Basic aspects of food preservation by hurdle technology,” International Journal of Food Microbiology, vol. 55, no. 1-3, pp. 181–186, 2000. View at Publisher · View at Google Scholar · View at Scopus
  18. T. Ross and P. Dalgaard, “Secondary models,” in Modeling Microbial Responses in Food, R. C. McKellar and X. Lu, Eds., vol. 17 of Contemporary Food Science, p. 360, CRC Press, 1st edition, 2003. View at Publisher · View at Google Scholar
  19. E. M. Bradley, J. B. Williams, M. W. Schilling et al., “Effects of sodium lactate and acetic acid derivatives on the quality and sensory characteristics of hot-boned pork sausage patties,” Meat Science, vol. 88, no. 1, pp. 145–150, 2011. View at Publisher · View at Google Scholar · View at Scopus
  20. D. G. Sante, https://webgate.ec.europa.eu/foods_system/main/?event=legislations.search&legislations.pagination=1, Accessed October 21, 2017.
  21. D. S. Sutton, M. S. Brewer, and F. K. Mckeith, “Effects of sodium lactate and sodium phosphate on the physical and sensory characteristics of pumped pork loins,” Journal of Muscle Foods, vol. 8, no. 1, pp. 95–104, 1997. View at Publisher · View at Google Scholar · View at Scopus
  22. M. G. Mathipa and M. S. Thantsha, “Cocktails of probiotics pre-adapted to multiple stress factors are more robust under simulated gastrointestinal conditions than their parental counterparts and exhibit enhanced antagonistic capabilities against escherichia coli and staphylococcus aureus,” Gut Pathogens, vol. 7, no. 1, article no. 5, 2015. View at Publisher · View at Google Scholar · View at Scopus
  23. R. C. McKellar and X. Lu, Modeling Microbial Responses in Food, CRC press, Boca Raton, Fla, USA, 2004.
  24. S. Brul, F. I. C. Mensonides, K. J. Hellingwerf, and M. J. Teixeira de Mattos, “Microbial systems biology: new frontiers open to predictive microbiology,” International Journal of Food Microbiology, vol. 128, no. 1, pp. 16–21, 2008. View at Publisher · View at Google Scholar · View at Scopus
  25. W. Messens, J. Verluyten, F. Leroy, and L. De Vuyst, “Modelling growth and bacteriocin production by Lactobacillus curvatus LTH 1174 in response to temperature and pH values used for European sausage fermentation processes,” International Journal of Food Microbiology, vol. 81, no. 1, pp. 41–52, 2003. View at Publisher · View at Google Scholar · View at Scopus
  26. J.-C. Augustin, L. Rosso, and V. Carlier, “Estimation of temperature dependent growth rate and lag time of Listeria monocytogenes by optical density measurements,” Journal of Microbiological Methods, vol. 38, no. 1-2, pp. 137–146, 1999. View at Publisher · View at Google Scholar · View at Scopus
  27. P. Dalgaard and K. Koutsoumanis, “Comparison of maximum specific growth rates and lag times estimated from absorbance and viable count data by different mathematical models,” Journal of Microbiological Methods, vol. 43, no. 3, pp. 183–196, 2001. View at Publisher · View at Google Scholar · View at Scopus
  28. R. M. García-Gimeno, C. Hervás-Martínez, and M. I. De Silóniz, “Improving artificial neural networks with a pruning methodology and genetic algorithms for their application in microbial growth prediction in food,” International Journal of Food Microbiology, vol. 72, no. 1-2, pp. 19–30, 2002. View at Publisher · View at Google Scholar · View at Scopus
  29. M. R. Rodríguez-Pérez, Desarrollo y validación de modelos matemáticos para la predicción de vida comercial de productos cárnicos, University of Cordoba, Córdoba, Spain, 2004.
  30. S. G. Manios, R. J. W. Lambert, and P. N. Skandamis, “A generic model for spoilage of acidic emulsified foods: combining physicochemical data, diversity and levels of specific spoilage organisms,” International Journal of Food Microbiology, vol. 170, pp. 1–11, 2014. View at Publisher · View at Google Scholar · View at Scopus
  31. O. Mejlholm and P. Dalgaard, “Development and validation of an extensive growth and growth boundary model for psychrotolerant Lactobacillus spp. in seafood and meat products,” International Journal of Food Microbiology, vol. 167, no. 2, pp. 244–260, 2013. View at Publisher · View at Google Scholar · View at Scopus
  32. E. Giraud, B. Lelong, and M. Raimbault, “Influence of pH and initial lactate concentration on the growth of Lactobacillus plantarum,” Applied Microbiology and Biotechnology, vol. 36, no. 1, pp. 96–99, 1991. View at Publisher · View at Google Scholar · View at Scopus
  33. F. V. Passos, H. P. Fleming, D. F. Ollis, H. M. Hassan, and R. M. Felder, “Modeling the specific growth rate of Lactobacillus plantarum in cucumber extract,” Applied Microbiology and Biotechnology, vol. 40, no. 1, pp. 143–150, 1993. View at Publisher · View at Google Scholar · View at Scopus
  34. R. L. Buchanan, R. C. Whiting, and W. C. Damert, “When is simple good enough: a comparison of the gompertz, baranyi, and three-phase linear models for fitting bacterial growth curves,” Food Microbiology, vol. 14, no. 4, pp. 313–326, 1997. View at Publisher · View at Google Scholar · View at Scopus
  35. J. Baranyi and T. A. Roberts, “A dynamic approach to predicting bacterial growth in food,” International Journal of Food Microbiology, vol. 23, no. 3-4, pp. 277–294, 1994. View at Publisher · View at Google Scholar · View at Scopus
  36. R. E. Chandler and T. A. McMeekin, “Temperature function integration and its relationship to the spoilage of pasteurized, homogenized milk,” Australian Journal of Dairy Technology, vol. 40, pp. 37–41, 1985. View at Google Scholar
  37. K. E. Coopper, “The theory of antibiotic inhibition zones,” in Analytical microbiology, F. Kavanagh, Ed., p. 86, Academic Press, New York, NY, USA, 1963. View at Google Scholar
  38. R. Gospavic, J. Kreyenschmidt, S. Bruckner, V. Popov, and N. Haque, “Mathematical modelling for predicting the growth of pseudomonas spp. in poultry under variable temperature conditions,” International Journal of Food Microbiology, vol. 127, no. 3, pp. 290–297, 2008. View at Publisher · View at Google Scholar · View at Scopus
  39. L. Rosso, “Modélisation et microbiologie prévisionnelle: élaboration d'un nouvel outil pour l'agro-alimentaire, Thése de doctorat no,” Tech. Rep., Université Claude Bernard-Lyon I, Lyon, élaboration d'un nouvel outil pour l'agro-alimentaire, 1995. View at Google Scholar
  40. B. Barros Neto, I. S. Scarminio, and R. E. Bruns, Planejamento e otimização de experimentos, Unicamp, Campinas, Brazil, 2nd edition, 1995.
  41. M. I. Rodrigues and A. F. Iemma, Planejamento de experimentos e otimizaτπo de processos, Campinas, Casa do Pão, Brazil, 2005.
  42. T. Ross, “Indices for performance evaluation of predictive models in food microbiology,” Journal of Applied Bacteriology, vol. 81, no. 5, pp. 501–508, 1996. View at Google Scholar · View at Scopus
  43. F. Devlieghere, B. Van Belle, and J. Debevere, “Shelf life of modified atmosphere packed cooked meat products: a predictive model,” International Journal of Food Microbiology, vol. 46, no. 1, pp. 57–70, 1999. View at Publisher · View at Google Scholar · View at Scopus
  44. F. Devlieghere, A. H. Geeraerd, K. J. Versyck, H. Bernaert, J. F. Van Impe, and J. Debevere, “Shelf life of modified atmosphere packed cooked meat products: addition of Na-lactate as a fourth shelf life determinative factor in a model and product validation,” International Journal of Food Microbiology, vol. 58, no. 1-2, pp. 93–106, 2000. View at Publisher · View at Google Scholar · View at Scopus
  45. E. H. Drosinos, M. Mataragas, A. Kampani, D. Kritikos, and I. Metaxopoulos, “Inhibitory effect of organic acid salts on spoilage flora in culture medium and cured cooked meat products under commercial manufacturing conditions,” Meat Science, vol. 73, no. 1, pp. 75–81, 2006. View at Publisher · View at Google Scholar · View at Scopus
  46. C. M. P. Sarmento, Modelagem do Crescimento Microbiano e Avaliação Sensorial no estudo da Vida de Prateleira de mortadela e lingüiça defumada em armazenamento isotérmico e não isotérmico, Universidade Federal de Santa Catarina, Florianópolis, Barzil, 2006.
  47. T. Ross, P. Dalgaard, and S. Tienungoon, “Predictive modelling of the growth and survival of Listeria in fishery products,” International Journal of Food Microbiology, vol. 62, no. 3, pp. 231–245, 2000. View at Publisher · View at Google Scholar · View at Scopus
  48. E. Carrasco, R. García-Gimeno, R. Seselovsky et al., “Predictive model of listeria monocytogenes' growth rate under different temperatures and acids,” Food Science and Technology International, vol. 12, no. 1, pp. 47–56, 2006. View at Publisher · View at Google Scholar · View at Scopus
  49. R. M. García-Gimeno, C. Hervás-Martínez, E. Barco-Alcalá, G. Zurera-Cosano, and E. Sanz-Tapia, “An artificial neural network approach to escherichia coli O157:H7 growth estimation,” Journal of Food Science, vol. 68, no. 2, pp. 639–645, 2003. View at Publisher · View at Google Scholar · View at Scopus
  50. G. Zurera-Cosano, R. M. García-Gimeno, R. Rodríguez-Pérez, and C. Hervás-Martínez, “Performance of response surface model for prediction of Leuconostoc mesenteroides growth parameters under different experimental conditions,” Food Control, vol. 17, no. 6, pp. 429–438, 2006. View at Publisher · View at Google Scholar · View at Scopus