An alternative to the HSE/NPL Mark II Phase Contrast Test Slide for airborne asbestos fiber analysis laboratories.

IF 1.5 4区 医学 Q4 ENVIRONMENTAL SCIENCES
Geoff Pickford, Joanna Szymanska
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引用次数: 0

Abstract

More than 55 years ago, an analytical method employing phase contrast optical microscopy was developed for the quantitative estimation of airborne asbestos fiber concentration, and it was found that the detection limit of these microscopes was dependent upon microscope design, microscope set-up, and observer performance. In the early 1980s, the HSE/NPL Mark II Phase Contrast Test Slide was developed which facilitated standardizing detection limits of microscopes and observers in laboratories around the world. This paper describes the development and testing of an alternative test slide, known as the Pickford Phase Contrast Test Slide, which employs state-of-the-art nano-fabrication technology. Each Pickford Test Slide is certified by the Environmental Analysis Laboratory of the Southern Cross University stating that it is equivalent in performance to that of the HSE/NPL Mark II test slide, which aligns with the United Kingdom Health and Safety Executive HSG248 Asbestos: The Analysts' Guide (2021) requirement. Users report that the Pickford Test Slide is much easier to use than the HSE/NPL Slide. Since the early 1980s, the certification of phase contrast microscope test slides has been based on subjective visibility testing, which is less than ideal because of variations between certifiers, reference standards, and microscopes. Hence, a unique objective visibility test was developed with the aim of replacing subjective testing, and also of conducting routine testing of the test slide phase objects following nano-fabrication. Routine testing has been useful because each Pickford Test Slide is tested and documented so that intricate nano-fabrication chip processes can be controlled over years of production. However, thousands of comparisons of both forms of testing have shown that it is very unlikely that objective visibility testing will ever replace subjective testing because valid and relevant objective testing depends upon standardizing several dozen microscope camera set-up parameters that vary from one camera to another. Further, because the ultimate use of a test slide has always been based on human visibility, validation may not be achievable.

用于气载石棉纤维分析实验室的 HSE/NPL Mark II 相位对比测试片的替代品。
55 年前,人们开发了一种采用相衬光学显微镜的分析方法,用于定量估计空气中石棉纤维的浓度,结果发现这些显微镜的检测限取决于显微镜的设计、显微镜的设置和观察者的表现。20 世纪 80 年代初,HSE/NPL Mark II 相位对比测试载玻片问世,它促进了世界各地实验室显微镜和观察者检测极限的标准化。本文介绍了另一种测试玻片的开发和测试情况,这种玻片被称为皮克福德相衬测试玻片,采用了最先进的纳米制造技术。每块 Pickford 测试玻片都经过南十字星大学环境分析实验室认证,证明其性能等同于 HSE/NPL Mark II 测试玻片,符合英国健康与安全管理局 HSG248《石棉》标准:分析师指南》(2021 年)的要求。用户反映,皮克福德测试玻片比 HSE/NPL 玻片更容易使用。自 20 世纪 80 年代初以来,相衬显微镜测试玻片的认证一直以主观能见度测试为基础,但由于认证人员、参考标准和显微镜之间存在差异,这种方法并不理想。因此,我们开发了一种独特的客观能见度测试,旨在取代主观测试,并对纳米制造后的测试玻片相位对象进行常规测试。常规测试非常有用,因为每个 Pickford 测试片都经过测试并记录在案,这样就可以在多年的生产过程中控制复杂的纳米制造芯片过程。然而,对这两种测试形式进行的数千次比较表明,客观可见度测试不太可能取代主观测试,因为有效和相关的客观测试取决于几十个显微镜相机设置参数的标准化,而这些参数因相机而异。此外,由于测试玻片的最终用途始终以人的可见度为基础,因此可能无法实现验证。
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来源期刊
Journal of Occupational and Environmental Hygiene
Journal of Occupational and Environmental Hygiene 环境科学-公共卫生、环境卫生与职业卫生
CiteScore
3.30
自引率
10.00%
发文量
81
审稿时长
12-24 weeks
期刊介绍: The Journal of Occupational and Environmental Hygiene ( JOEH ) is a joint publication of the American Industrial Hygiene Association (AIHA®) and ACGIH®. The JOEH is a peer-reviewed journal devoted to enhancing the knowledge and practice of occupational and environmental hygiene and safety by widely disseminating research articles and applied studies of the highest quality. The JOEH provides a written medium for the communication of ideas, methods, processes, and research in core and emerging areas of occupational and environmental hygiene. Core domains include, but are not limited to: exposure assessment, control strategies, ergonomics, and risk analysis. Emerging domains include, but are not limited to: sensor technology, emergency preparedness and response, changing workforce, and management and analysis of "big" data.
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