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首页> 外文期刊>Journal of applied microbiology >Prediction of growth of Bacillus megaterium spores as affected by gamma radiation dose and spore load
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Prediction of growth of Bacillus megaterium spores as affected by gamma radiation dose and spore load

机译:γ射线剂量和孢子负荷对巨大芽孢杆菌孢子生长的预测

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Aims: To provide data on the interaction of radiation dose (x_1) and microbial contamination load (x_2), as predictor variables, on the percentage of vials exhibiting growth of Bacillus megaterium spores (y). Methods and Results: the influence of a wide range of spore loads (1-50 000 spores of B. megaterium vial~(-1)) and gamma radiation doses (0.2-10 kGy) on the contaminated samples was determined. Each contamination load was studied by adding the specific number of spores to 100 vials containing nutrient broth and exposing them to various doses of gamma radiation. Curves representing the number of contaminated vials against the dose of radiation were sigmoidal in shape and the data showed an indirect relationship. Data were analysed by regression analysis which revealed a significant correlation (R~2 = 0.85). The relationship among the tested variables is exponential and can be described by the following equation: y = 1 - (1 - e~(-0.0173x_1))~(x_2) It was also estimated that, for each increase of 1 in the number of spores per vial, there is an increase of 1 in the number of contaminated vials. Conclusions: The two variables (x_1 and x_2) have great influence on the radiation sterilization efficiency and the proposed mathematical model is valid for the prediction of this efficiency. Significance and Impact of the Study: The results of the present investigation can be of useful industrial application and can help to set acceptance and rejection limits for the production of materials vulnerable to microbial contamination.
机译:目的:提供有关辐射剂量(x_1)和微生物污染负荷(x_2)相互作用的数据,作为预测变量,用于显示巨大芽孢杆菌孢子生长的小瓶百分比(y)。方法与结果:确定了大范围的孢子负荷(巨大芽孢杆菌小瓶〜(-1)的孢子1〜5万个)和γ辐射剂量(0.2〜10 kGy)对受污染样品的影响。通过将特定数量的孢子添加到100个含有营养肉汤的小瓶中,并将它们暴露于各种剂量的γ辐射中,来研究每种污染负荷。代表受污染小瓶数量与辐射剂量的关系曲线呈S形,数据显示出间接关系。通过回归分析对数据进行分析,结果显示出显着的相关性(R〜2 = 0.85)。被测变量之间的关系是指数关系,可以用以下等式描述:y = 1-(1-e〜(-0.0173x_1))〜(x_2)估计数字每增加1,每个小瓶中的孢子数量增加,被污染小瓶的数量增加1。结论:这两个变量(x_1和x_2)对辐射灭菌效率有很大的影响,所提出的数学模型对于辐射效率的预测是有效的。研究的意义和影响:本研究的结果可以在工业上有用,并且可以帮助设定易受微生物污染的材料的生产的接受和拒绝极限。

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