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Comparative study on the efficacy of sodium hypochlorite, aqueous ozone, and peracetic acid in the elimination of Salmonella from cattle manure contaminated various surfaces supported by Bayesian analysis

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  • Ameer Megahed
  • Brian Aldridge
  • James Lowe

Abstract

Providing the dairy industry with an effective and safe disinfectant is considered a key step in improving the farm hygiene and biosecurity. Salmonella infection via foodborne transmission remains a major public health threat. The main objective of this study was therefore to characterize and compare the decontamination power of NaOCl, aqueous-O3, and PAA against cattle manure based-Salmonella heavily contaminated various surfaces (plastic, nylon, rubber, and wood) using Bayesian analysis. In a crossover design, 14 strips of each material were randomly assigned between 3 groups, treatment (n = 6), positive-control (contaminated with feces-Salmonella mixture, but not exposed to disinfectants, n = 6), and negative control (laboratory blank, inoculated only with sterile water, n = 2). The strips were soaked in cattle manure inoculated with 107–108 of Salmonella Typhimurium-Choleraesuis (aSTC) and exposed to 50 mL of 200 ppm NaOCl, 9 ppm aqueous-O3, or 400 ppm PAA for 4 minutes. Bayesian methods were used for analysis. On plastic and nylon surfaces, NaOCl, aqueous-O3, or PAA reduce aSTC population to a safe level (>5.0-log10) within 4 minutes. On rubber surface, PAA and aqueous-O3 can produce a reduction in aSTC population 50% and 30% higher than NaOCl with posterior probabilities of 97% and 90%, respectively. However, PAA can produce reduction factor on wood surface 40% higher than aqueous-O3 and NaOCl with posterior probabilities of 97% and 73%, respectively. We conclude that smooth surfaces were most effectively decontaminated. Peracetic acid of 400 ppm can provide an effective means for controlling Salmonella population heavily contaminated various surfaces in dairy operations. However, the safe residues and strong reactivity makes aqueous-O3 and PAA attractive alternative disinfectants for improving farm hygiene and biosecurity.

Suggested Citation

  • Ameer Megahed & Brian Aldridge & James Lowe, 2019. "Comparative study on the efficacy of sodium hypochlorite, aqueous ozone, and peracetic acid in the elimination of Salmonella from cattle manure contaminated various surfaces supported by Bayesian anal," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-15, May.
  • Handle: RePEc:plo:pone00:0217428
    DOI: 10.1371/journal.pone.0217428
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    References listed on IDEAS

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    1. Western, Bruce & Jackman, Simon, 1994. "Bayesian Inference for Comparative Research," American Political Science Review, Cambridge University Press, vol. 88(2), pages 412-423, June.
    2. Frenzen, Paul D. & Riggs, T. Lynn & Buzby, Jean C. & Breuer, Thomas & Roberts, Tanya & Voetsch, Drew & Reddy, Sudha & FoodNet Working Group, 1999. "Salmonella Cost Estimate Updated Using FoodNet Data," Food Review/ National Food Review, United States Department of Agriculture, Economic Research Service, vol. 22(2), May.
    3. David J. Spiegelhalter & Nicola G. Best & Bradley P. Carlin & Angelika Van Der Linde, 2002. "Bayesian measures of model complexity and fit," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(4), pages 583-639, October.
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