Modeling the growth/no-growth interface of Zygosaccharomyces bailii in mango puree

Probabilistic microbial modeling using logistic regression was used to pred ict critical temperatures to inhibit for at least 35 d Zygosaccharomyces ba ilii growth in a pH 3.5 mango puree formulated with 1000 ppm of potassium s orbate (KS) or sodium benzoate (NaB) at selected a(w) (0.99, 0.98, or 0.97) , The probability of growth was calculated, thereby ascertaining the set co nditions and critical temperatures required inhibiting yeast growth for dif ferent storage times, Using the logistic model, with a growth probability o f 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 de grees C.