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Development and validation of a model for predicting survival of young larvae of Tribolium castaneum exposed to elevated temperatures during heat treatment of grain-processing facilities

机译:在籽粒加工设施热处理期间暴露于柴油瘤幼苗幼虫生存模型的发展与验证

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Heat treatment involves raising the ambient temperature of grain-processing facilities to 50-60 degrees C for at least 24 h to manage stored-product insects. The young larvae (first instars) of the red flour beetle, Tribolium castaneum (Herbst), are the most heat tolerant stage at temperatures of 50-60 degrees C when compared to eggs, old larvae, pupae, and adults. A thermal death kinetic model was developed to predict survival of T. castaneum young larvae exposed to six constant elevated temperatures between 42 and 60 degrees C. The model was based on two non-linear relationships: 1) logarithmic decrease in survival of larvae as a function of time, and 2) logarithmic decrease in larval survival as a function of temperature. The model was validated with 12 time-dependent temperature datasets collected during actual heat treatments of pilot-scale flour and feed mills and a commercial grain-processing facility. The observed survival of larvae in plastic boxes vials with flour was used to validate model predictions. The heating rate to reach 50 degrees C from the ambient temperature, among the 12 datasets ranged from 0.9 to 7.8 degrees C/h. The mean absolute deviation between observed and predicted larval survival for 10 of the 12 datasets ranged from 2.1 to 11.4%; for the other two datasets it was 16.2 and 18.3%. These results show that the thermal death kinetic model can be used to predict survival of young larvae of T. castaneum based on time-dependent temperature profile obtained at any given location during heat treatment of grain-processing facilities. (C) 2017 Elsevier Ltd. All rights reserved.
机译:热处理涉及将晶粒处理设施的环境温度提高至50-60℃,至少24小时以管理储存 - 产品昆虫。红面粉甲虫的幼虫(首先龄),呋喃葡萄酒(草药)是与鸡蛋,老幼虫,蛹和成人相比50-60℃的温度最耐热的阶段。开发了一种热死亡动力学模型,以预测暴露于42至60摄氏度的六个恒定升高温度的T.castandum幼虫的存活。该模型基于两个非线性关系:1)幼虫存活的对数减少时间的函数,2)幼虫存活的对数减少作为温度的函数。该模型用12个时间依赖性温度数据集收集在试验型粉末和饲料厂的实际热处理和商业晶粒处理设施中。使用面粉的塑料盒小瓶中观察到的幼虫存活来验证模型预测。从环境温度达到50℃的加热速率,在12个数据集中为0.9至7.8摄氏度。在12个数据集中的10个观察和预测幼虫存活之间的平均绝对偏差范围为2.1至11.4%;对于其他两个数据集,它是16.2和18.3%。这些结果表明,热死亡动力学模型可用于预测基于在粮食处理设施的热处理期间在任何给定位置获得的时间依赖性温度曲线的幼虫的存活。 (c)2017 Elsevier Ltd.保留所有权利。

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