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Predicting outgrowth and inactivation of Clostridium perfringens in meat products during low temperature long time heat treatment

机译:在低温长时间热处理期间预测肉制产物中的梭菌产物的梭菌和灭活

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摘要

OBJECTIVESous-vide cooking and molecular gastronomy has started a wave of experimenting with Low Temperature Long Time (LTLT) heat treatments. Heat treatments, at temperatures as low as 50°C, have been suggested by celebrity chefs. LTLT treatments often take hours to reach to the final core temperature and Cl. perfringens is, therefore, of special interest as it may outgrow during the coming up time and cause food safety problems. This study was undertaken to set up a predictive tool to establish the outgrowth potential of C. perfringens in LTLT meat products as a function of the applied heating profile.METHODSChallenge tests were performed at two dynamic temperature profiles (fast LTLT, 2.6 h from 10 to 53°C, and slow LTLT, 3.8 h from 10 to 53°C) with three types of inoculums (spores, heat-active spores and vegetative cells) of Cl. perfringens 790-94 in two different types of meat pork (pH 5.6) and chicken (pH adjusted to 6.8). Challenge tests representing LTLT treatments of beef were collected from the literature. The obtained growth data were used for evaluation of three different growth models originally validated for prediction of growth during cooling (Le Marc et al. 2008, Juneja et al. 2011, Jaloustre et al. 2011). The data in inactivation phase were used for evaluation of three inactivation models generated by Foegeding and Busta (1980), van Asselt and Zwietering (2006) and Jaloustre et al. (2012). Finally, a new growth model, derived from the model structure of Le Marc et al. (2008), was developed from literature data (215 isothermal growth data), and was combined with a linear inactivation model developed from data at 53°C from this study for completely predicting fate of Cl. perfringens during LTLT treatment. RESULTSVery short lag times were observed in most of the challenge tests, especially in high pH chicken. By using the acceptable prediction zone method, performance of literature models was evaluated and none of the growth and inactivation models could successfully predict the growth or inactivation of Cl. perfringens for the LTLT conditions of our challenge tests. Therefore, a new growth model and a new inactivation model were developed and combined to predict the overall fate of Cl. Perfringens during LTLT profiles at 53°C. However, predicted lag time was still much longer than the observed lag time in our challenge tests, which caused a general underestimation of growth giving rise to overestimation of inactivation in particular for chicken. To obtain more precise predictions, an RLT of 2-3 was recommended for chicken, independent on type of inoculums, and for vegetative cells in pork. For spores and heated spores in pork the increase of Cl. perfringens during LTLT coming up time never exceeded 1 log10-unit.CONCLUSIONS AND IMPACT OF THE STUDYA model combining both growth as well as inactivation for prediction of fate of Cl. perfringens during the LTLT treatment was developed. The model is the first predictive model specifically designed for LTLT treatment of meats. Very short lag times were observed during LTLT treatments, which were not observed in isothermal or cooling conditions previously. The reason for short lag time during slowly increasing temperature conditions, and how to predict it, should be interesting for future studies.
机译:目的广泛的烹饪和分子美食学已经开始了对低温长时间(LTLT)热处理的实验浪潮。名人厨师建议在低至50°C的温度下进行热处理。 LTLT处理通常需要几个小时才能达到最终核心温度和Cl。因此,产气荚膜杆菌特别受关注,因为它可能会在生长时间过长而引起食品安全问题。进行这项研究是为了建立一种预测工具,以建立LTLT肉制品中产气荚膜梭菌的生长潜力作为所施加加热曲线的函数.METHODS在两个动态温度曲线上进行了挑战测试(LTLT快速,从10到2.6 h 53°C,缓慢LTLT,从10到53°C 3.8小时),带有三种Cl接种物(孢子,热活性孢子和营养细胞)。在两种不同类型的肉猪肉(pH值为5.6)和鸡肉(pH值已调整为6.8)中加入了perfringens 790-94。从文献中收集了代表LTLT处理牛肉的挑战测试。所获得的生长数据用于评估三个不同的生长模型,这些模型最初经过验证可用于预测冷却过程中的生长(Le Marc等,2008; Juneja等,2011; Jaloustre等,2011)。灭活阶段的数据用于评估Foegeding和Busta(1980),van Asselt和Zwietering(2006)和Jaloustre等人生成的三种灭活模型。 (2012)。最后,从Le Marc等人的模型结构中得出了一个新的增长模型。 (2008年)是根据文献数据(215个等温增长数据)开发的,并与根据本研究在53°C的数据开发的线性灭活模型相结合,以完全预测Cl的命运。 LTLT治疗期间发生了产气荚膜炎。结果在大多数挑战试验中观察到非常短的滞后时间,尤其是在高pH值的鸡中。通过使用可接受的预测区方法,评估了文献模型的性能,并且没有任何生长和灭活模型能够成功预测Cl的生长或灭活。针对我们的挑战测试的LTLT条件进行操作。因此,开发并结合了新的生长模型和新的灭活模型以预测Cl的总体命运。在53°C下进行LTLT曲线过程中产生的香味。但是,预测的滞后时间仍比我们在挑战测试中观察到的滞后时间长得多,这导致对生长的普遍低估,从而导致对灭活的高估,尤其是对鸡的灭活。为了获得更精确的预测,建议鸡的RLT为2-3,与接种物的类型无关,而猪肉的营养细胞也是如此。对于猪肉中的孢子和加热的孢子,Cl的增加。 LTLT出现过程中的产气荚膜杆菌从未超过1 log10-单位。结论和研究模型结合生长和失活预测Cl的命运。 LTLT治疗期间出现了产气荚膜炎。该模型是专门为LTLT处理肉类而专门设计的第一个预测模型。在LTLT处理期间观察到非常短的延迟时间,而以前在等温或冷却条件下则没有观察到。在缓慢升高的温度条件下滞后时间短的原因以及如何进行预测,应该为以后的研究带来兴趣。

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