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Results 1 to 25 of 172

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Flexible querying of Web data to simulate bacterial growth in foodBUCHE, Patrice; COUVERT, Olivier; DIBIE-BARTHELEMY, Juliette et al.Food microbiology. 2011, Vol 28, Num 4, pp 685-693, issn 0740-0020, 9 p.Conference Paper

Mathematical modelling methodologies in predictive food microbiology: A SWOT analysisFERRER, Jordi; PRATS, Clara; LOPEZ, Daniel et al.International journal of food microbiology. 2009, Vol 134, Num 1-2, pp 2-8, issn 0168-1605, 7 p.Conference Paper

Plenary lecture: Innovative modeling approaches applicable to risk assessmentsOSCAR, T. P.Food microbiology. 2011, Vol 28, Num 4, pp 777-781, issn 0740-0020, 5 p.Conference Paper

A modified Gompertz model to predict microbial inactivation under time-varying temperature conditionsGIL, Maria M; BRANDAO, Teresa R. S; SILVA, Cristina L. M et al.Journal of food engineering. 2006, Vol 76, Num 1, pp 89-94, issn 0260-8774, 6 p.Article

Estimating the maximum growth rate from microbial growth curves: definition is everythingPERNI, Stefano; ANDREW, Peter W; SHAMA, Gilbert et al.Food microbiology. 2005, Vol 22, Num 6, pp 491-495, issn 0740-0020, 5 p.Article

Food engineering and predictive microbiology : on the necessity to combine biological and physical kineticsMAFART, P.International journal of food microbiology. 2005, Vol 100, Num 1-3, pp 239-251, issn 0168-1605, 13 p.Conference Paper

Predictive modelling of the microbial lag phase: a reviewSWINNEN, I. A. M; BERNAERTS, K; DENS, E. J. J et al.International journal of food microbiology. 2004, Vol 94, Num 2, pp 137-159, issn 0168-1605, 23 p.Article

Calculating the efficacy of heat sterilization processesCORRADINI, Maria G; NORMAND, Mark D; PELEG, Micha et al.Journal of food engineering. 2005, Vol 67, Num 1-2, pp 59-69, issn 0260-8774, 11 p.Conference Paper

Optimal experiment design for cardinal values estimation : guidelines for data collectionBERNAERTS, K; GYSEMANS, K. P. M; NHAN MINH, T et al.International journal of food microbiology. 2005, Vol 100, Num 1-3, pp 153-165, issn 0168-1605, 13 p.Conference Paper

Error analysis in predictive modelling demonstrated on mould dataBARANYI, József; CSERNUS, Olívia; BECZNER, Judit et al.International journal of food microbiology. 2014, Vol 170, pp 78-82, issn 0168-1605, 5 p.Article

IPMP 2013 ― A comprehensive data analysis tool for predictive microbiologyLIHAN HUANG.International journal of food microbiology. 2014, Vol 171, pp 100-107, issn 0168-1605, 8 p.Article

A review on growth/no growth Salmonella modelsCARRASCO, Elena; DEL ROSAL, Susana; CARLOS RACERO, Juan et al.Food research international. 2012, Vol 47, Num 1, pp 90-99, issn 0963-9969, 10 p.Article

Comparison of 1-step and 2-step methods of fitting microbiological modelsJEWELL, Keith.International journal of food microbiology. 2012, Vol 160, Num 2, pp 145-161, issn 0168-1605, 17 p.Article

Semantic annotation of Web data applied to risk in foodHIGNETTE, Gaëlle; BUCHE, Patrice; COUVERT, Olivier et al.International journal of food microbiology. 2008, Vol 128, Num 1, pp 174-180, issn 0168-1605, 7 p.Conference Paper

A novel approach to predicting microbial inactivation kinetics during high pressure processingKOSEKI, Shigenobu; YAMAMOTO, Kazutaka.International journal of food microbiology. 2007, Vol 116, Num 2, pp 275-282, issn 0168-1605, 8 p.Article

Bayesian synthesis of a pathogen growth model : Listeria monocytogenes under competitionPOWELL, Mark R; TAMPLIN, Mark; MARKS, Bradley et al.International journal of food microbiology. 2006, Vol 109, Num 1-2, pp 34-46, issn 0168-1605, 13 p.Article

The Sym'Previus software, a tool to support decisions to the foodstuff safetyLEPORQ, B; MEMBRE, J.-M; DERVIN, C et al.International journal of food microbiology. 2005, Vol 100, Num 1-3, pp 231-237, issn 0168-1605, 7 p.Conference Paper

Towards a novel class of predictive microbial growth modelsVAN IMPE, J. F; POSCHET, F; GEERAERD, A. H et al.International journal of food microbiology. 2005, Vol 100, Num 1-3, pp 97-105, issn 0168-1605, 9 p.Conference Paper

Design of challenge testing experiments to assess the variability of Listeria monocytogenes growth in foodsAUGUSTIN, Jean-Christophe; BERGIS, Hélène; ZULIANI, Veronique et al.Food microbiology. 2011, Vol 28, Num 4, pp 746-754, issn 0740-0020, 9 p.Conference Paper

Prediction of pathogen growth on iceberg lettuce under real temperature history during distribution from farm to tableKOSEKI, Shigenobu; ISOBE, Seiichiro.International journal of food microbiology. 2005, Vol 104, Num 3, pp 239-248, issn 0168-1605, 10 p.Article

Quantifying microbial lag phenomena due to a sudden rise in temperature : a systematic macroscopic studySWINNEN, I. A. M; BEMAERTS, K; GYSEMANS, K et al.International journal of food microbiology. 2005, Vol 100, Num 1-3, pp 85-96, issn 0168-1605, 12 p.Conference Paper

Development of a structured model for batch cultures of lactic acid bacteriaDEL NOBILE, M. A; ALTIERI, C; CORBO, M. R et al.Journal of industrial microbiology & biotechnology. 2003, Vol 30, Num 7, pp 421-426, issn 1367-5435, 6 p.Article

Effect of periodic fluctuation in the osmotic environment on the adaptation of SalmonellaZHOU, K; GEORGE, S. M; LI, P. L et al.Food microbiology. 2012, Vol 30, Num 1, pp 298-302, issn 0740-0020, 5 p.Article

Inactivation model equations and their associated parameter values obtained under static acid stress conditions cannot be used directly for predicting inactivation under dynamic conditionsJANSSEN, M; VERHULST, A; VALDRAMIDIS, V et al.International journal of food microbiology. 2008, Vol 128, Num 1, pp 136-145, issn 0168-1605, 10 p.Conference Paper

Growth of Listeria monocytogenes on iceberg lettuce and solid mediaKOSEKI, Shigenobu; ISOBE, Seiichiro.International journal of food microbiology. 2005, Vol 101, Num 2, pp 217-225, issn 0168-1605, 9 p.Article

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