多项式拟合法设定辐照灭菌剂量的研究

发布时间：2019-03-20 11:25

【摘要】：受传统方法精确度的限制,生产实践中辐照灭菌剂量的设定值往往超过产品的实际需要。多余的辐照剂量会对产品造成不必要的辐照损伤,同时也降低了辐照工厂的产能。本文通过理论研究证明,任一给定抗性分布的微生物种群存在一条非线性的"灭菌剂量曲线"。对于具有标准抗性分布(Standard distribution of resistances,SDR)的微生物种群,采用5种常用函数拟合其灭菌剂量曲线的结果表明,5次多项式函数的拟合程度最好。与传统使用线性函数拟合的方法相比,基于5次多项式函数拟合的灭菌剂量设定方法可以将所设定的灭菌剂量与理论值的偏差范围从-9.8%-123.1%缩小至-7.7%-1.9%。此方法可以在保证产品灭菌合格的基础上有效降低多余的辐照剂量。
[Abstract]:Due to the limitation of the precision of traditional methods, the setting value of irradiation sterilization dose in production practice often exceeds the actual requirement of the product. The excess radiation dose will cause unnecessary radiation damage to the product and reduce the production capacity of the irradiation plant. In this paper, it is proved by theoretical research that there is a nonlinear "sterilizing dose curve" for any given resistant microbial population. For the microbial population with standard resistance distribution (Standard distribution of resistances,SDR), 5 kinds of commonly used functions were used to fit the sterilization dose curve. The results showed that the fitting degree of the five times polynomial function was the best. Compared with the traditional method of linear function fitting, The sterilization dose setting method based on the fitting of 5 times polynomial function can reduce the deviation range between the set sterilization dose and the theoretical value from-9.8% to-7.7% and 1.9%, respectively, from-9.8% and 123.1% to-7.7% and 1.9% respectively. This method can effectively reduce the excess radiation dose on the basis of ensuring that the product is sterilized and qualified.
【作者单位】：南京航空航天大学核科学与工程系;
【基金】：中央高校基本科研业务费青年科技创新基金(No.NS2014060)资助
【分类号】：R187

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