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模拟[具体内容]的径向生长:温度和水分活度的影响。 (原文中冒号前缺少具体所指内容)

Modelling the Radial Growth of : Effects of Temperature and Water Activity.

作者信息

Koňuchová Martina, Valík Ľubomír

机构信息

Department of Nutrition and Food Quality Assessment, Institute of Food Science and Nutrition, Faculty of Chemical and Food Technology, Slovak University of Technology in Bratislava, Radlinskeho 9, SK-812 37 Bratislava, Slovakia.

出版信息

Microorganisms. 2021 Mar 5;9(3):532. doi: 10.3390/microorganisms9030532.

Abstract

Modelling the growth of microorganisms in relation to environmental factors provides quantitative knowledge that can be used to predict their behaviour in foods. For this reason, the effects of temperature and water activity () adjusted with NaCl on the surface growth of two isolates and one culture strain of were studied. A dataset of growth parameters obtained from almost 600 growth curves was employed for secondary modelling with cardinal models (CMs). The theoretical minimal temperature resulting from the modelling of the mycelium proliferation rate ranged from -5.2 to -0.4 °C. Optimal and maximal temperatures were calculated and found to have narrow ranges of 25.4 to 28.0 °C and 34.2 to 37.6 °C, respectively. Cardinal values associated with radial growth ( from 0.948-0.960 and from 0.992-0.993) confirmed the salt sensitivity of the species. Model goodness-of-fit was evaluated by the coefficient of determination , which ranged from 0.954 to 0.985, and , which ranged from 0.28 to 0.42. Substantially higher variability accompanied the lag time for growth modelling than the radial growth rate modelling despite the square root transformation of the reciprocal lag phase data ( = 0.685 to 0.808). Nevertheless, the findings demonstrate that the outputs of growth modelling can be applied to the quantitative evaluation of the roles of in fresh cheese spoilage as well as the ripening of Camembert-type cheeses or various artisanal cheeses. Along with validation, the interactions with lactic acid bacteria can be included to improve the predictions of in the future.

摘要

对微生物生长与环境因素之间的关系进行建模可提供定量知识,这些知识可用于预测它们在食品中的行为。因此,研究了用氯化钠调节温度和水分活度对两种分离株和一种培养菌株在表面生长的影响。从近600条生长曲线获得的生长参数数据集用于基数模型(CMs)的二次建模。菌丝体增殖率建模得出的理论最低温度范围为-5.2至-0.4℃。计算得出最佳温度和最高温度范围较窄,分别为25.4至28.0℃和34.2至37.6℃。与径向生长相关的基数水分活度值(分别为0.948 - 0.960和0.992 - 0.993)证实了该物种对盐的敏感性。通过决定系数评估模型的拟合优度,其范围为0.954至0.985,均方根误差范围为0.28至0.42。尽管对倒数滞后期数据进行了平方根转换(均方根误差 = 0.685至0.808),但生长建模的滞后期的变异性仍远高于径向生长速率建模。然而,研究结果表明,生长建模的输出可应用于定量评估该菌在新鲜奶酪变质以及卡门培尔型奶酪或各种手工奶酪成熟过程中的作用。除了验证之外,未来还可纳入与乳酸菌的相互作用以改进该菌的预测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/55f1/7999232/b84a52da1db5/microorganisms-09-00532-g001.jpg

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