Abstract
The quantitative study of heat treatments for sterilisation uses the Bigelow model to calculate the sterilising value (F). Calculation of F requires the previous determination of parameters D (decimal reduction time at experimental temperature) and Z (thermal-death time parameter), obtained from the thermal-death kinetics. Herein we compare two different methods, namely the Bigelow model and a predictive-type statistical method, to calculate the sterilisation effect against Bacillus coagulans spores when heat was applied to runner bean preserves (variety: Helda). Samples were subjected to various autoclave treatments at working temperatures (T ai) of 105, 107, 110, and 115°C for periods from 3 to 35 min. The microorganism used was B. coagulans. Sterilisation achieved by these autoclave treatments was determined by using the equation based on the Bigelow model (n probe = F z Ti/D Ti) where n is the fractional concentration of colony-forming units (or some quality factor), F z Ti is F at temperature T i, and D Ti is D at temperature T i. The Bigelow model can be used to obtain Z (thermal-death time parameter), which is needed to calculate the traditional sterilisation factor F, but not to determine the reduction factor n for the heat treatments, particularly when microbial indicators with low decimal reduction times (D) are studied. The thermokinetic parameters for B. coagulans in runner bean solution resulted to be Z = 10.64°C and D 121 = 0.0264 min (Af = 1.04). Treatment at 115°C for 20 min resulted in the most efficient sterilisation effect for B. coagulans.
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This work was presented at the XVII National Microbiology Congress (Valladolid, Spain) and recommended to the journal Food Analytical Methods.
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Sacristán-Pérez-Minayo, G., León, A. & Reguera, J.I. Evaluation and Quantification of Heat Treatments Applied to Food Preserves. Food Anal. Methods 5, 774–780 (2012). https://doi.org/10.1007/s12161-011-9307-0
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DOI: https://doi.org/10.1007/s12161-011-9307-0