Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA.
Medical University of Graz, Diagnostic and Research Institute of Hygiene, Microbiology, and Environmental Medicine, Graz, Austria.
Appl Environ Microbiol. 2023 Dec 21;89(12):e0083223. doi: 10.1128/aem.00832-23. Epub 2023 Nov 20.
Planetary protection at the National Aeronautics and Space Administration (NASA) requires bioburden on certain spacecraft to be estimated via sampling in order to comply with biological cleanliness requirements. To achieve this, the recovery efficiency of devices used to sample the spacecraft pre-launch must be understood and their uncertainty quantified in order to produce the most reasonable estimates of bioburden. This study brings together experiments performed by NASA and the European Space Agency with approved swab and wipe sampling devices, inoculating steel coupons with laboratory strains of spp. spores commonly recovered from spacecraft assembly clean rooms (, , and ), with a mathematical model of the assay process to assess recovery efficiency. The statistical treatment developed in this study allows comparison of bioburden estimates made from different devices processed by different methods. This study also gives stakeholders and practitioners a statistically rigorous approach to predict bioburden that can be folded into future modeling efforts.
美国国家航空航天局(NASA)的行星保护要求通过采样来估算某些航天器上的生物负荷,以符合生物清洁度要求。为了实现这一目标,必须了解用于在发射前对航天器进行采样的设备的回收效率,并对其不确定性进行量化,以便对生物负荷进行最合理的估计。本研究汇集了 NASA 和欧洲航天局进行的实验,使用经过批准的拭子和擦拭采样设备,用通常从航天器组装洁净室中回收的实验室菌株 spp. 的孢子接种钢片( 、 、 和 ),并使用该检测过程的数学模型来评估回收效率。本研究中开发的统计处理方法允许比较使用不同方法处理的不同设备所进行的生物负荷估算。本研究还为利益相关者和从业者提供了一种严格的统计学方法来预测生物负荷,该方法可以纳入未来的建模工作中。