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Biocidal effectiveness of combustion products of reactive materials: a phenomenological model

机译:反应材料燃烧产物的生物灭菌效果:一种现象学模型

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Reactive materials (RMs) generating biocidal combustion products were developed for countering biological weapons of mass destruction. In experiments, aerosolized spores and bacteria simulating bio-agents are exposed to the RM combustion products. An inactivation factor (IF) defined as an inverse fraction of microorganisms surviving the exposure serves to compare different RMs. Such comparisons identify promising RMs, which generate highly biocidal combustion products. It is necessary to quantitatively characterize the biocidal effectiveness of these materials while modeling combustion of relevant RMs in practical configurations, such as an expanding fireball. The objective of this research effort is to develop a phenomenological model describing the efficiency of biocidal products generated by RMs. Here, we developed a hydrodynamic model of the experimental setup, which was previously built and utilized for testing various biocidal materials. This model is capable of predicting the field of temperatures and concentration of biocidal species (iodine) generated in combustion. The iodine generation was described accounting for the burn rates previously determined for the iodine-bearing RM particles. Trajectories for 100,000 microorganisms aerosolized into the flow system and exposed to the heated combustion products were determined. The exposure of each microorganism to both temperature and iodine concentration profiles was quantified by a model designed to correlate the predicted exposure levels with previously obtained experimental IF values.
机译:开发了产生杀生物燃烧产物的反应材料(RMS)以对抗大规模杀伤生物武器。在实验中,雾化孢子和模拟生物试剂的细菌暴露于RM燃烧产物。将灭活因子(IF)定义为在曝光中存活的微生物的倒数分数用于比较不同的RMS。这种比较识别有前途的RMS,其产生高杀生物燃烧产物。有必要定量表征这些材料的杀生物效力,同时在实际配置中建模相关RMS的燃烧,例如扩张的火球。这项研究的目的是开发一种表现出一种现象学模型,描述了RMS产生的杀生物产品的效率。在这里,我们开发了一种实验设置的流体动力学模型,其先前是用于测试各种杀生物材料的实验装置。该模型能够预测燃烧中产生的杀生物物种(碘)的温度和浓度领域。描述了碘生成核算以前确定含碘RM颗粒的燃烧速率。确定100,000微粒雾化到流动系统并暴露于加热燃烧产物的轨迹。通过旨在将预测的暴露水平与先前获得的实验值相关联的模型来定量每种微生物对温度和碘浓度分布的暴露。

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