放射性空气样本过滤器颗粒检测损失的元研究

J. Barnett, Hunter Z. Edwards
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引用次数: 0

摘要

利用本meta研究中其他已发表研究的数据,建立了空气样品过滤器质量负荷与相关分析自吸收因子之间的几个数学关系。总α和β应用程序解决了这项研究。当过滤介质加载颗粒物质时,由于质量加载的自吸收,存在测量损失的可能性。有助于吸收的成分包括微粒粉尘、放射性微粒和过滤材料。标准指出,当放射性物质渗透到收集介质中或被收集的材料自身吸收辐射会使检出率降低5%以上时,应使用修正系数。在此之前,据报道,在~10 mg·cm−2质量载荷范围内,自吸收造成的损耗高达100%。这些吸收损失可用来确定样品结果的校正因子。对于低质量负载(例如,≤0.1 mg·cm - 2),建议使用0.85 - 1范围内的校正因子,而在接近10 mg·cm - 2的较高质量负载时,则使用接近0的校正因子(表示接近100%的损耗)。根据已发表的研究数据,将自吸收损失百分比与质量负载联系起来的不同方法包括线性、指数、二次和三叉衍生函数。在适用的情况下,评估了强制零和非强制零的结果。从推导函数的评价来看,三叉函数提供了最佳的拟合。一旦样本滤波器的质量载荷已知,就可以应用三项式函数来估计损耗和相应的自吸收因子。当确定样品特定质量负荷时,应用于监测空气样品的放射设施堆栈的常规操作条件。当典型的堆样质量负载未达到5%损失阈值的ANSI/HPS N13.1-2021指南时,在高效微粒空气过滤系统中应用无校正因子可能是合理的。为简单起见,在一般情况下,将自吸收校正因子指定为5%阈值(即0.95)是保守的,但在重质量负载的情况下计算该因子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Meta-Study of Particulate Detection Losses on Radioactive Air Sample Filters
Several mathematical relationships between air sample filter mass loading and the correlated analytical self-absorption factor were developed using data from other published research in this meta-study. Gross-alpha and -beta ap-plications are addressed for this research. As filter media becomes loaded with particulate matter, there is potential for measurement losses due to self-absorption by mass loading. Components contributing to absorption include particulate dust, radioactive particulates, and filter material. Standards indicate a correction factor should be used when the penetration of radioactive material into the collection media or self-absorption of radiation by the material collected would reduce the detection rate by more than 5%. Previously, losses due to self-absorption have been reported up to 100% over a range up to ~10 mg·cm −2 mass loading. These absorption losses then can be used to determine a correction factor for sample results. For low mass loadings (e.g., ≤0.1 mg·cm −2 ) corrections factors in the 0.85 - 1 range have been recommended and used, while at higher mass loadings nearer to 10 mg·cm −2 correction factors closer to 0 (representing near 100% losses) are used. Based on data from published studies, the different methods for relating percent loss due to self-absorption to mass loading include linear, exponential, quadrati c, and trinomial derived functions. Where applicable, both forced zero and non-forced zero results were evaluated. From the derived functions evaluated, the trinomial function provided the best fit. Once the sample filter mass loading is known, the trinomial function can be applied to estimate losses and the corresponding self-absorption factor. When applied to routine operating conditions for radiological facility stacks monitored of an air sample when the sample-specific mass loading is determined. The application of no correction factor when the ANSI/HPS N13.1-2021 guidance of a 5% threshold for loss is not reached with typical stack sample mass loadings may be reasonable in high-efficiency particulate air filtered systems. For simplicity, it would be conservative in assigning the self-absorption correction factor at the 5% threshold (i.e., 0.95) for general uses but in cases of heavy mass loading to calculate the factor.
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