基于人体模型的松套动力空气净化呼吸器性能评估方法的开发。

Mike Bergman, Rohan Basu, Zhipeng Lei, George Niezgoda, Ziqing Zhuang
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引用次数: 0

摘要

目的:宽松动力空气净化呼吸器(PAPR)越来越多地用于医疗保健。NIOSH之前曾使用先进的人体模型头模来开发评估过滤面罩呼吸器适用性的方法;研究现在已经开始开发使用人头模型来评估PAPR性能的方法。这项初步研究调查了PAPR在不同工作速率下的性能,以支持基于人体模型的测试方法的开发。方法:使用安装在躯干上的中型NIOSH静态高级人头模型,在四种不同的工作速率(静息:11Lpm、低:25Lpm、中等:48Lpm和高:88Lpm)下测量三种宽松PAPR模型的人体模型穿透因子(mPF)。在每次测试过程中监测面罩内压差。使用两个冷凝颗粒计数器在2分钟的采样时间内测量试验室内以及PAPR面罩内的氯化钠气溶胶浓度。评估了两种测试系统配置,用于在呼气循环中将空气返回人头模型(过滤和未过滤)。计算每个模型/工作率组合的几何平均值(GM)和第5百分位mPF。结果:PAPR模型、工作率和测试配置对PAPR性能有显著影响。三种型号的PAPR气流速率分别约为185、210和235 Lpm。尽管在某些工作率/模型组合中观察到负最小压力,但所有模型的GM mPF和第5百分位mPF均大于其指定的职业安全与健康管理局指定的保护系数。结论:PAPR模型、工作率和测试配置影响PAPR性能。一旦测试方法成熟,先进的人头模型就有可能评估PAPR性能。利用本研究获得的知识,可以进一步开发基于人体模型的PAPR内向泄漏测试方法。未来的研究应改变PAPR气流速率,以更好地了解其对性能的影响。未来还需要更多的研究来评估使用高级人头模型的PAPR表现与用人类受试者测量的表现的相关性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Development of a Manikin-Based Performance Evaluation Method for Loose-Fitting Powered Air-Purifying Respirators.

Objective: Loose-fitting powered air-purifying respirators (PAPRs) are increasingly being used in healthcare. NIOSH has previously used advanced manikin headforms to develop methods to evaluate filtering facepiece respirator fit; research has now begun to develop methods to evaluate PAPR performance using headforms. This preliminary study investigated the performance of PAPRs at different work rates to support development of a manikin-based test method.

Methods: Manikin penetration factors (mPF) of three models of loose-fitting PAPRs were measured at four different work rates (REST: 11 Lpm, LOW: 25 Lpm, MODERATE: 48 Lpm, and HIGH: 88 Lpm) using a medium-sized NIOSH static advanced headform mounted onto a torso. In-mask differential pressure was monitored throughout each test. Two condensation particle counters were used to measure the sodium chloride aerosol concentrations in the test chamber and also inside the PAPR facepiece over a 2-minute sample period. Two test system configurations were evaluated for returning air to the headform in the exhalation cycle (filtered and unfiltered). Geometric mean (GM) and 5th percentile mPFs for each model/work rate combination were computed. Analysis of variance tests were used to assess the variables affecting mPF.

Results: PAPR model, work rate, and test configuration significantly affected PAPR performance. PAPR airflow rates for the three models were approximately 185, 210, and 235 Lpm. All models achieved GM mPFs and 5th percentile mPFs greater than their designated Occupational Safety and Health Administration assigned protection factors despite negative minimum pressures observed for some work rate/model combinations.

Conclusions: PAPR model, work rate, and test configuration affect PAPR performance. Advanced headforms have potential for assessing PAPR performance once test methods can be matured. A manikin-based inward leakage test method for PAPRs can be further developed using the knowledge gained from this study. Future studies should vary PAPR airflow rate to better understand the effects on performance. Additional future research is needed to evaluate the correlation of PAPR performance using advanced headforms to the performance measured with human subjects.

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