Abstract
ABSTRACT:Probabilistic microbial modeling using logistic regression was used to predict critical temperatures to inhibit for at least 35 d Zygosaccharomyces bailii growth in a pH 3.5 mango puree formulated with 1000 ppm of potassium sorbate (KS) or sodium benzoate (NaB) at selected aw (0.99, 0.98, or 0.97). The probability of growth was calculated, thereby ascertaining the set conditions and critical temperatures required inhibiting yeast growth for different storage times. Using the logistic model, with a growth probability of 0.05, critical temperatures were higher for KS than for NaB. Use of KS to inhibit Z. bailii growth enabled for mango puree 30 d of storage at 6.4 °C.
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