These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
251 related articles for article (PubMed ID: 17418314)
1. Response surface model for prediction of growth parameters from spores of Clostridium sporogenes under different experimental conditions. Dong Q; Tu K; Guo L; Li H; Zhao Y Food Microbiol; 2007 Sep; 24(6):624-32. PubMed ID: 17418314 [TBL] [Abstract][Full Text] [Related]
2. Combined effects of heat, nisin and acidification on the inactivation of Clostridium sporogenes spores in carrot-alginate particles: from kinetics to process validation. Naim F; Zareifard MR; Zhu S; Huizing RH; Grabowski S; Marcotte M Food Microbiol; 2008 Oct; 25(7):936-41. PubMed ID: 18721685 [TBL] [Abstract][Full Text] [Related]
3. Modelling the growth of Leuconostoc mesenteroides by Artificial Neural Networks. García-Gimeno RM; Hervás-Martínez C; Rodríguez-Pérez R; Zurera-Cosano G Int J Food Microbiol; 2005 Dec; 105(3):317-32. PubMed ID: 16054719 [TBL] [Abstract][Full Text] [Related]
4. Modelling the growth of Clostridium perfringens during the cooling of bulk meat. Le Marc Y; Plowman J; Aldus CF; Munoz-Cuevas M; Baranyi J; Peck MW Int J Food Microbiol; 2008 Nov; 128(1):41-50. PubMed ID: 18768233 [TBL] [Abstract][Full Text] [Related]
5. High-pressure destruction kinetics of Clostridium sporogenes spores in ground beef at elevated temperatures. Zhu S; Naim F; Marcotte M; Ramaswamy H; Shao Y Int J Food Microbiol; 2008 Aug; 126(1-2):86-92. PubMed ID: 18593644 [TBL] [Abstract][Full Text] [Related]
6. Effects of minerals on sporulation and heat resistance of Clostridium sporogenes. Mah JH; Kang DH; Tang J Int J Food Microbiol; 2008 Dec; 128(2):385-9. PubMed ID: 18986726 [TBL] [Abstract][Full Text] [Related]
7. Development and validation of a mathematical model to describe the growth of Pseudomonas spp. in raw poultry stored under aerobic conditions. Dominguez SA; Schaffner DW Int J Food Microbiol; 2007 Dec; 120(3):287-95. PubMed ID: 17949841 [TBL] [Abstract][Full Text] [Related]
8. Development and validation of a predictive model for Listeria monocytogenes Scott A as a function of temperature, pH, and commercial mixture of potassium lactate and sodium diacetate. Abou-Zeid KA; Oscar TP; Schwarz JG; Hashem FM; Whiting RC; Yoon K J Microbiol Biotechnol; 2009 Jul; 19(7):718-26. PubMed ID: 19652521 [TBL] [Abstract][Full Text] [Related]
9. Modelling fungal growth using radial basis function neural networks: the case of the ascomycetous fungus Monascus ruber van Tieghem. Panagou EZ; Kodogiannis V; Nychas GJ Int J Food Microbiol; 2007 Jul; 117(3):276-86. PubMed ID: 17521758 [TBL] [Abstract][Full Text] [Related]
10. Combined effects of hydrostatic pressure, temperature, and pH on the inactivation of spores of Clostridium perfringens type A and Clostridium sporogenes in buffer solutions. Paredes-Sabja D; Gonzalez M; Sarker MR; Torres JA J Food Sci; 2007 Aug; 72(6):M202-6. PubMed ID: 17995687 [TBL] [Abstract][Full Text] [Related]
11. Modeling the combined effects of pH, temperature and ascorbic acid concentration on the heat resistance of Alicyclobacillus acidoterrestis. Bahçeci KS; Acar J Int J Food Microbiol; 2007 Dec; 120(3):266-73. PubMed ID: 17936391 [TBL] [Abstract][Full Text] [Related]
12. Comparison of viability and heat resistance of Clostridium sporogenes stored at different temperatures. Mah JH; Kang DH; Tang J J Food Sci; 2009; 74(1):M23-7. PubMed ID: 19200102 [TBL] [Abstract][Full Text] [Related]
13. Dynamic predictive model for growth of Salmonella enteritidis in egg yolk. Gumudavelli V; Subbiah J; Thippareddi H; Velugoti PR; Froning G J Food Sci; 2007 Sep; 72(7):M254-62. PubMed ID: 17995649 [TBL] [Abstract][Full Text] [Related]
14. A response surface model based on absorbance data for the growth rates of Salmonella enterica serovar typhimurium as a function of temperature, NaCl, and pH. Park SY; Seo KY; Ha SD J Microbiol Biotechnol; 2007 Apr; 17(4):644-9. PubMed ID: 18051277 [TBL] [Abstract][Full Text] [Related]
15. Development of predictive mathematical model for the growth kinetics of Staphylococcus aureus by response surface model. Seo KY; Heo SK; Lee C; Chung DH; Kim MG; Lee KH; Kim KS; Bahk GJ; Bae DH; Kim KY; Kims CH; Ha SD J Microbiol Biotechnol; 2007 Sep; 17(9):1437-44. PubMed ID: 18062220 [TBL] [Abstract][Full Text] [Related]
16. Predictive model of the effect of temperature, pH and sodium chloride on growth from spores of non-proteolytic Clostridium botulinum. Graham AF; Mason DR; Peck MW Int J Food Microbiol; 1996 Aug; 31(1-3):69-85. PubMed ID: 8880298 [TBL] [Abstract][Full Text] [Related]
17. Effect of pH, water activity and gel micro-structure, including oxygen profiles and rheological characterization, on the growth kinetics of Salmonella Typhimurium. Theys TE; Geeraerd AH; Verhulst A; Poot K; Van Bree I; Devlieghere F; Moldenaers P; Wilson D; Brocklehurst T; Van Impe JF Int J Food Microbiol; 2008 Nov; 128(1):67-77. PubMed ID: 18834641 [TBL] [Abstract][Full Text] [Related]
18. Predictive model of Vibrio parahaemolyticus growth and survival on salmon meat as a function of temperature. Yang ZQ; Jiao XA; Li P; Pan ZM; Huang JL; Gu RX; Fang WM; Chao GX Food Microbiol; 2009 Sep; 26(6):606-14. PubMed ID: 19527836 [TBL] [Abstract][Full Text] [Related]
19. Estimating microbial growth parameters from non-isothermal data: a case study with Clostridium perfringens. Smith-Simpson S; Corradini MG; Normand MD; Peleg M; Schaffner DW Int J Food Microbiol; 2007 Sep; 118(3):294-303. PubMed ID: 17804106 [TBL] [Abstract][Full Text] [Related]
20. The synergic interaction between environmental factors (pH and NaCl) and the physiological state (vegetative cells and spores) provides new possibilities for optimizing processes to manage risk of C. sporogenes spoilage. Boix E; Couvert O; André S; Coroller L Food Microbiol; 2021 Dec; 100():103832. PubMed ID: 34416948 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]