Predicting Growth of Weissella Viridescens in Culture Medium under Dynamic Temperature Conditions

Wiaslan Figueiredo Martins, Daniel Angelo Longhi, Natielle Maria Costa Menezes, Ana Paula Rosa da Silva Camargo, João Borges Laurindo, Gláucia Maria Falcão de Aragão
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引用次数: 4

Abstract

The lactic acid bacteria (LAB) are among the main spoilage microorganisms of foods, and the Weissella viridescens (formerly Lactobacillus viridescens) is well known to cause deterioration on the meat surface in vacuum packed meat products, even under refrigerated conditions. Therefore, this study evaluated the predictive ability of Baranyi and Roberts dynamic model to describe W. viridescens growth in culture medium (which simulates a food rich in nutrients), subjected to dynamic temperature conditions. Baranyi and Roberts primary model was fitted to the growth curves of W. viridescens in culture medium under six different isothermal temperatures (4, 8, 12, 16, 20 and 30°C) previously obtained in our laboratory. Four secondary models (linear, square root, exponential and Arrhenius type) were assessed to describe the influence of temperature on the growth parameters. The square root was the best model to describe temperature influence on μmax parameter. For Ymax parameter, the secondary model was considered the mean values obtained experimentally in the studied temperature range. Experimental data were used to evaluate the model predictions under dynamic conditions for two different temperature profiles, NIP-1 (12-16-20-25°C) and NIP-2 (16-12-8-4°C). According to the statistical indexes, the model showed better predictive ability for NIP-1, with RMSE of 0.3341, R2 of 0.9939, bias factor of 1.0046 and accuracy factor of 1.0197; the growth of W. viridescens under NIP-2 conditions was underestimated, indicating a fail dangerous prediction. The results showed that the predictive model can be used to predict the shelf life of meat products spoiled by W. viridescens.

动态温度条件下魏氏病毒在培养基中的生长预测
乳酸菌(LAB)是食品的主要腐败微生物之一,众所周知,在真空包装的肉制品中,即使在冷藏条件下,Weissella viri下降病毒(以前称为病毒下降乳杆菌)也会导致肉表面变质。因此,本研究评估了Baranyi和Roberts动态模型在动态温度条件下描述病毒垂丝茅在培养基(模拟营养丰富的食物)中生长的预测能力。Baranyi和Roberts的初级模型拟合了我们实验室之前获得的六种不同等温温度(4、8、12、16、20和30℃)下的培养基中毒垂w的生长曲线。采用线性模型、平方根模型、指数模型和Arrhenius模型来描述温度对生长参数的影响。平方根是描述温度对μmax参数影响的最佳模型。对于Ymax参数,二次模型考虑在研究温度范围内的实验平均值。利用实验数据,对NIP-1(12-16-20-25°C)和NIP-2(16-12-8-4°C)两种不同温度剖面在动态条件下的模型预测结果进行了评价。统计指标表明,该模型对nip1具有较好的预测能力,RMSE为0.3341,R2为0.9939,偏倚因子为1.0046,准确度因子为1.0197;在NIP-2条件下,病毒垂下W. viridowns的生长被低估,表明危险预测失败。结果表明,该预测模型可用于预测毒芽孢杆菌变质肉制品的保质期。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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