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模拟嗜热栖热放线菌孢子在植物基饮料中的失活以设计超高温瞬时灭菌工艺。

Modeling Geobacillus stearothermophilus spores inactivation in plant-based drinks to design UHT processing.

作者信息

Champidou Chrysanthi, Ellouze Mariem, Haddad Nabila, Membré Jeanne-Marie

机构信息

Food Safety Research Department, Nestlé Research, PO BOX44, CH-1000 Lausanne 26, Switzerland; Oniris VetAgroBio, INRAE, SECALIM, Nantes, France.

Digital Food Safety Department, Nestlé Research, PO BOX44, CH-1000 Lausanne 26, Switzerland.

出版信息

Food Res Int. 2025 Feb;201:115518. doi: 10.1016/j.foodres.2024.115518. Epub 2024 Dec 19.

DOI:10.1016/j.foodres.2024.115518
PMID:39849684
Abstract

This study provides predictive models for G. stearothermophilus spores inactivation in four plant-based drinks, half-skimmed bovine milk and Brain Heart Infusion (BHI) broth and while also evaluating of matrix effect on inactivation. Heat inactivation was performed using the capillary tube method within the temperature range 115-127 °C. Geeraerd's model - which incorporates initial level, shoulder duration, inactivation rate and tailing - was fitted to the data. Secondary models were developed on the logarithm of the D-values with validation at 130 °C. The Z values in the different matrices ranged between 7.93-9.98 °C and logD between 0.43-0.55. Statistical tests revealed no significant differences among the plant-based drinks enabling a general model for the four of them. However, the heat resistance was significantly higher in the bovine milk compared to plant-based drinks. The time to achieve a 5-log reduction under a UHT regime, was different, ranging from 4.28 s to 10.08 s at 140 °C for the six matrices. These differences indicate the importance of considering the food matrix in thermal processing. The findings of this study provide insights on designing thermal processes and support the development of data-driven risk assessments for these products.

摘要

本研究提供了嗜热脂肪芽孢杆菌孢子在四种植物性饮料、半脱脂牛奶和脑心浸液(BHI)肉汤中的失活预测模型,同时还评估了基质对失活的影响。使用毛细管法在115-127°C的温度范围内进行热失活。将包含初始水平、肩部持续时间、失活速率和拖尾的吉拉德模型拟合到数据中。基于D值的对数建立二级模型,并在130°C下进行验证。不同基质中的Z值在7.93-9.98°C之间,logD在0.43-0.55之间。统计检验表明,植物性饮料之间没有显著差异,因此可以为这四种饮料建立一个通用模型。然而,与植物性饮料相比,牛奶中的耐热性明显更高。在超高温处理条件下,六种基质在140°C达到5-log减少所需的时间不同,范围从4.28秒到10.08秒。这些差异表明在热加工过程中考虑食品基质的重要性。本研究结果为热加工工艺设计提供了见解,并支持对这些产品进行数据驱动的风险评估。

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