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New approaches to modeling Staphylococcus aureus inactivation by ultrasound

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Abstract

Ultrasound (US) is an effective technology to inactivate vegetative microorganisms in foods. In this study, the effect of amplitude levels (0.4, 7.5, and 37.5), duty cycles (0.3:0.7 s, 0.7:0.3 s, and 0.9: 0.1 s) and time (0, 2, 4, 6, 8, 10, 12, and 14 days) of US on inactivation of Staphylococcus aureus were investigated. In addition, genetic algorithm-artificial neural network (GA-ANN) and adaptive neuro-fuzzy inference system (ANFIS) models were used to predict inactivation of S. aureus. The GA-ANN and ANFIS were fed with three inputs of amplitude levels, duty cycles, and time. The inactivation rate of S. aureus was increased by increasing the amplitude levels, and the best inactivation was obtained at a 37.5 μm amplitude for which the S. aureus population was reduced to 2.59 CFU/mL. The high inactivation of S. aureus was achieved under a duty cycle of 0.7:0.3 s with reduction of the population to 1.49 CFU/mL. The developed GA-ANN, which included 17 hidden neurons, could predict the S. aureus population with a coefficient of determination of 0.986. The overall agreement between ANFIS predictions and experimental data was also very good (R 2 = 0.979). Sensitivity analysis results showed that the amplitude level was the most sensitive factor for prediction of S. aureus.

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Authors and Affiliations

  1. Young Researchers and Elite Club, Kermanshah Branch, Islamic Azad University, Kermanshah, Iran

    Bahman Soleimanzadeh

  2. Young Researchers and Elite Club, Ayatollah Amoli Branch, Islamic Azad University, Amol, Iran

    Atefeh Amoozandeh

  3. Department of Pharmacology, School of Medicine, Kashan University of Medical Sciences, Kashan, Iran

    Mehdi Shoferpour

  4. Young Researchers and Elite Club, Gorgan Branch, Islamic Azad University, Gorgan, Iran

    Mahmoud Yolmeh

Authors
  1. Bahman Soleimanzadeh
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  2. Atefeh Amoozandeh
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  3. Mehdi Shoferpour
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  4. Mahmoud Yolmeh
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Correspondence to Mahmoud Yolmeh.

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Soleimanzadeh, B., Amoozandeh, A., Shoferpour, M. et al. New approaches to modeling Staphylococcus aureus inactivation by ultrasound. Ann Microbiol 68, 313–319 (2018). https://doi.org/10.1007/s13213-015-1067-4

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  • DOI: https://doi.org/10.1007/s13213-015-1067-4

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