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Summary Heat resistant micro‐organisms are an ongoing challenge to the food industry. Various factors may influence the heat resistance of micro‐organisms including type and strain; the environmental influences during cell and spore formations and during heat exposure; and the equipment and test tools used to perform the experimental process. In an attempt to analyse the influence of different test tools used on the heat inactivation processes, this study aimed to define the isothermal inactivation kinetics of Bacillus coagulans spores in tomato pulp at different temperatures and compare the inactivation of this bacterium when thermal death time (TDT) and capillary tube methods were used. Temperature ranges from 95 °C to 120 °C were studied, and inactivation kinetic parameters were estimated through the application of primary models. TDT inactivation curves consisted of shoulder and linear decline, while capillary method inactivation curves consisted of shoulder, linear decline and long tail. A secondary model was used to describe the influence of the temperature on spore inactivation parameters. The results showed test methods are at least as important in determining thermal processes as the micro‐organisms and media used.

The study of thermal resistant mould, including Byssochlamys nivea, is of extreme importance since it has been associated with fruit and fruit products. The aim of this work is to analyze the influence of water activity (aw) and ascospore age (I) on the growth of Byssochlamys nivea in pineapple juice. Mold growth was carried out under different conditions of water activity (aw) (0.99, 0.96, 0.95, 0.93, 0.90) and ascospore age (I) (30, 51, 60, 69, 90 days). Growth parameters as length of adaptation phase (λ), maximum specific growth rate (µmax) and maximum diameter reached by the colony (A) were obtained through the fit of the Modified Gompertz model to experimental data (measuring radial colony diameter). Statistica 6.0 was used for statistical analyses (significance level α = 0.05). The results obtained clearly showed that water activity is statistically significant and that it influences all growth parameters, while ascospore age does not have any statistically significant influence on growth parameters. Also, these data showed that by increasing aw from 0.90 to 0.99, the λ value substantially decreased, while µmax and A values rose. The data contributed for the understanding of the behavior of B. nivea in pineapple juice. Therefore, it provided mathematical models that can well predict growth parameters, also helping on microbiological control and products’ shelf life determination.

How can we estimate Bacillus coagulans inactivation during sudden temperature shifts in heat processing? This article provides a validated model that can be used to predict B. coagulans under changing temperature conditions. B. coagulans is a spore-forming bacillus that spoils acidified food products. The mathematical model developed here can be used to predict the spoilage risk following thermal process deviations for tomato products.