메뉴 건너뛰기




Volumn 47, Issue , 2015, Pages 606-614

Application of artificial neural network to predict Escherichia coli O157:H7 inactivation on beef surfaces

Author keywords

Artificial neural network; Beef; E.coli O157:H7; Inactivation; Low voltage direct electric current; Predictive modeling

Indexed keywords


EID: 84907244370     PISSN: 09567135     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.foodcont.2014.08.002     Document Type: Article
Times cited : (34)

References (35)
  • 1
    • 0034564603 scopus 로고    scopus 로고
    • Artificial neural networks: fundamentals, computing, design, and application
    • Basheer I.A., Hajmeer M. Artificial neural networks: fundamentals, computing, design, and application. Journal of Microbiological Methods 2000, 43(1):3-31.
    • (2000) Journal of Microbiological Methods , vol.43 , Issue.1 , pp. 3-31
    • Basheer, I.A.1    Hajmeer, M.2
  • 2
    • 0027949037 scopus 로고
    • Expansion of response surface models for the growth of Escherichia coli O157:H7 to include sodium nitrite as a variable
    • Buchanan R.L., Bagi L.K. Expansion of response surface models for the growth of Escherichia coli O157:H7 to include sodium nitrite as a variable. International Journal of Food Microbiology 1994, 23(l):317-332.
    • (1994) International Journal of Food Microbiology , vol.23 , Issue.1 , pp. 317-332
    • Buchanan, R.L.1    Bagi, L.K.2
  • 5
    • 0000155950 scopus 로고
    • The Cascade-Correlation learning architecture
    • Morgan-Kaufmann, Los Altos, CA, USA, D.S. Touretzky (Ed.)
    • Fahlman S.E., Lebiere C. The Cascade-Correlation learning architecture. Advances in Neural Information Processing Systems 2 1990, Morgan-Kaufmann, Los Altos, CA, USA. D.S. Touretzky (Ed.).
    • (1990) Advances in Neural Information Processing Systems 2
    • Fahlman, S.E.1    Lebiere, C.2
  • 7
    • 0036064637 scopus 로고    scopus 로고
    • Aprobabilistic neural network approach for modeling and classification of bacterial growth/no-growth data
    • Hajmeer M., Basheer I.A. Aprobabilistic neural network approach for modeling and classification of bacterial growth/no-growth data. Journal of Microbiological Methods 2002, 51(2):217-226.
    • (2002) Journal of Microbiological Methods , vol.51 , Issue.2 , pp. 217-226
    • Hajmeer, M.1    Basheer, I.A.2
  • 8
    • 0031031431 scopus 로고    scopus 로고
    • Computational neural networks for predictive microbiology II. Application to microbial growth
    • Hajmeer M., Basheer I.A., Najjar Y. Computational neural networks for predictive microbiology II. Application to microbial growth. International Journal of Food Microbiology 1997, 34:51-66.
    • (1997) International Journal of Food Microbiology , vol.34 , pp. 51-66
    • Hajmeer, M.1    Basheer, I.A.2    Najjar, Y.3
  • 10
    • 0035648084 scopus 로고    scopus 로고
    • Optimization of computational neural network for its application in the prediction of microbial growth in foods
    • Hervas C., Zurera G., Garcia R.M., Martinez J.A. Optimization of computational neural network for its application in the prediction of microbial growth in foods. Food Science Technology International 2001, 7(2):159-163.
    • (2001) Food Science Technology International , vol.7 , Issue.2 , pp. 159-163
    • Hervas, C.1    Zurera, G.2    Garcia, R.M.3    Martinez, J.A.4
  • 11
    • 84863821055 scopus 로고    scopus 로고
    • Annual cost of illness and quality-adjusted life year losses in the United States due to 14 foodborne pathogens
    • Hoffmann S., Batz M.B., Morris J.G. Annual cost of illness and quality-adjusted life year losses in the United States due to 14 foodborne pathogens. Journal of Food Protection 2012, 7:1292-1302.
    • (2012) Journal of Food Protection , vol.7 , pp. 1292-1302
    • Hoffmann, S.1    Batz, M.B.2    Morris, J.G.3
  • 15
    • 0034946875 scopus 로고    scopus 로고
    • Application of artificial neural networks for predicting the thermal inactivation of bacteria: a combined effect of temperature, pH and water activity
    • Lou W., Nakai S. Application of artificial neural networks for predicting the thermal inactivation of bacteria: a combined effect of temperature, pH and water activity. Food Research International 2001, 34:573-579.
    • (2001) Food Research International , vol.34 , pp. 573-579
    • Lou, W.1    Nakai, S.2
  • 16
    • 79151470472 scopus 로고    scopus 로고
    • Reduction of Escherichia coli O157:H7 on beef surfaces using low-voltage direct electric current and the impact on sensory properties
    • Mahapatra A.K., Harris D.L., Nguyen C.N., Kannan G. Reduction of Escherichia coli O157:H7 on beef surfaces using low-voltage direct electric current and the impact on sensory properties. Journal of Electrostatics 2011, 69:30-35.
    • (2011) Journal of Electrostatics , vol.69 , pp. 30-35
    • Mahapatra, A.K.1    Harris, D.L.2    Nguyen, C.N.3    Kannan, G.4
  • 19
    • 84907245242 scopus 로고    scopus 로고
    • Neuralware, 409 Elk Street, Suite 200, Carnegie PA 15106-2627, USA, NeuralWorks
    • ®; the complete solution for neural data modeling user guide 2013, Neuralware, 409 Elk Street, Suite 200, Carnegie PA 15106-2627, USA. http://www.neuralware.com.
    • (2013) ®; the complete solution for neural data modeling user guide
  • 20
    • 38349070929 scopus 로고    scopus 로고
    • Predicting survival of Escherichia coli O157:H7 in dry fermented sausage using artificial neural networks
    • Palanichamy A., Jayas D.S., Holley R.A. Predicting survival of Escherichia coli O157:H7 in dry fermented sausage using artificial neural networks. Journal of Food Protection 2008, 6:6-12.
    • (2008) Journal of Food Protection , vol.6 , pp. 6-12
    • Palanichamy, A.1    Jayas, D.S.2    Holley, R.A.3
  • 21
    • 79954575819 scopus 로고    scopus 로고
    • Acomparison of artificial neural networks and partial least squares modelling for the rapid detection of the microbial spoilage of beef fillets based on Fourier transform infrared spectral fingerprints
    • Panagou E.Z., Mohareb F.R., Argyri A.A., Bessant C.M., Nychas G.E. Acomparison of artificial neural networks and partial least squares modelling for the rapid detection of the microbial spoilage of beef fillets based on Fourier transform infrared spectral fingerprints. Food Microbiology 2011, 28(4):782-790.
    • (2011) Food Microbiology , vol.28 , Issue.4 , pp. 782-790
    • Panagou, E.Z.1    Mohareb, F.R.2    Argyri, A.A.3    Bessant, C.M.4    Nychas, G.E.5
  • 23
    • 0034970346 scopus 로고    scopus 로고
    • Modeling the survival of Escherichia coli O157:H7 in Uncooked, Semidry, Fermented Sausage
    • Pond T.J., Wood D.S., Mumin I.M., Barbut S., Griffiths M.W. Modeling the survival of Escherichia coli O157:H7 in Uncooked, Semidry, Fermented Sausage. Journal of Food Protection 2001, 6:759-906.
    • (2001) Journal of Food Protection , vol.6 , pp. 759-906
    • Pond, T.J.1    Wood, D.S.2    Mumin, I.M.3    Barbut, S.4    Griffiths, M.W.5
  • 25
    • 0026002750 scopus 로고
    • Comparison of Arrhenius-type and Belehradek-type models for prediction of bacterial growth in foods
    • Ratkowsky D.A., Ross T., McMeekin T.A., Olley J. Comparison of Arrhenius-type and Belehradek-type models for prediction of bacterial growth in foods. Journal of Applied Bacteriology 1991, 71:452-459.
    • (1991) Journal of Applied Bacteriology , vol.71 , pp. 452-459
    • Ratkowsky, D.A.1    Ross, T.2    McMeekin, T.A.3    Olley, J.4
  • 26
    • 0002983776 scopus 로고
    • Statistical Aspects of Neural Networks
    • Chapman & Hall, London, O.E. Barndorff-Nielsen, J.L. Jensen, W.S. Kendall (Eds.)
    • Ripley B.D. Statistical Aspects of Neural Networks. Networks and Chaos: Statistical and Probabilistic Aspects 1993, Chapman & Hall, London. O.E. Barndorff-Nielsen, J.L. Jensen, W.S. Kendall (Eds.).
    • (1993) Networks and Chaos: Statistical and Probabilistic Aspects
    • Ripley, B.D.1
  • 28
    • 0035871395 scopus 로고    scopus 로고
    • Comparison of artificial neural networks with other statistical approaches: results from medical data sets
    • Sargent D.J. Comparison of artificial neural networks with other statistical approaches: results from medical data sets. Cancer 2001, 91(8 Suppl.):1636-1642.
    • (2001) Cancer , vol.91 , Issue.8 SUPPL. , pp. 1636-1642
    • Sargent, D.J.1
  • 30
    • 0003439913 scopus 로고    scopus 로고
    • Statistical Analysis System, Inc., Cary, NC, SAS
    • SAS Users Guide: Statistics 2010, Statistical Analysis System, Inc., Cary, NC.
    • (2010) Users Guide: Statistics
  • 33
    • 0028130362 scopus 로고
    • Model for the combined effect of temperature, initial pH, sodium chloride and sodium nitrite concentrations on anaerobic growth of Shigella flexneri
    • Zaika L.L., Moulden E., Weimer L., Phillips J.G., Buchanan R.L. Model for the combined effect of temperature, initial pH, sodium chloride and sodium nitrite concentrations on anaerobic growth of Shigella flexneri. International Journal of Food Microbiology 1994, 23:345-358.
    • (1994) International Journal of Food Microbiology , vol.23 , pp. 345-358
    • Zaika, L.L.1    Moulden, E.2    Weimer, L.3    Phillips, J.G.4    Buchanan, R.L.5
  • 34
    • 84888115242 scopus 로고    scopus 로고
    • Prevalence of Escherichia coli O157:H7, Listeria monocytogenes and Salmonella spp. in Beef, Buffalo and Lamb using Multiplex PCR
    • Zarei M., Basiri N., Jamnejad A., Eskandari M.H. Prevalence of Escherichia coli O157:H7, Listeria monocytogenes and Salmonella spp. in Beef, Buffalo and Lamb using Multiplex PCR. Jundishapur Journal of Microbiology 2013, 6(8):e7244.
    • (2013) Jundishapur Journal of Microbiology , vol.6 , Issue.8
    • Zarei, M.1    Basiri, N.2    Jamnejad, A.3    Eskandari, M.H.4
  • 35
    • 58149388697 scopus 로고    scopus 로고
    • Overview of artificial neural networks
    • Humana Press, New York, USA, D. Livingstone (Ed.)
    • Zou J., Han Y., So S.S. Overview of artificial neural networks. Artificial neural networks : Methods and applications 2008, 15-23. Humana Press, New York, USA. D. Livingstone (Ed.).
    • (2008) Artificial neural networks : Methods and applications , pp. 15-23
    • Zou, J.1    Han, Y.2    So, S.S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.