Literature DB >> 11341557

Measurement of airborne fibers: a review.

P A Baron1.   

Abstract

Current fiber measurement techniques arose primarily due to health concerns over asbestos exposure. Fiber toxicity appears to be primarily a function of fiber concentration, dimensions and durability in the lungs. There are two basic approaches to fiber measurement. Fibers can be collected on filters and counted or analyzed by light or electron microscopy; alternatively, fibers can be detected directly using a combination of fiber alignment and light scattering techniques. All of these measurement approaches work best when the fibers are simple rod-shaped particles. However, most fibers can exist as curved rods, complex bundles of fibrils, and agglomerates of fibers and compact particles. These non-ideal shapes contribute to measurement bias and variability.

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Year:  2001        PMID: 11341557     DOI: 10.2486/indhealth.39.39

Source DB:  PubMed          Journal:  Ind Health        ISSN: 0019-8366            Impact factor:   2.179


  4 in total

1.  Development of an automated asbestos counting software based on fluorescence microscopy.

Authors:  Maxym Alexandrov; Etsuko Ichida; Tomoki Nishimura; Kousuke Aoki; Takenori Ishida; Ryuichi Hirota; Takeshi Ikeda; Tetsuo Kawasaki; Akio Kuroda
Journal:  Environ Monit Assess       Date:  2014-12-03       Impact factor: 2.513

2.  Efficacy of screens in removing long fibers from an aerosol stream--sample preparation technique for toxicology studies.

Authors:  Bon Ki Ku; Gregory J Deye; Leonid A Turkevich
Journal:  Inhal Toxicol       Date:  2014-01-14       Impact factor: 2.724

3.  Automated counting of airborne asbestos fibers by a high-throughput microscopy (HTM) method.

Authors:  Myoung-Ock Cho; Seonghee Yoon; Hwataik Han; Jung Kyung Kim
Journal:  Sensors (Basel)       Date:  2011-07-18       Impact factor: 3.576

Review 4.  Interstitial Lung Diseases in Developing Countries.

Authors:  Pilar Rivera-Ortega; Maria Molina-Molina
Journal:  Ann Glob Health       Date:  2019-01-22       Impact factor: 2.462

  4 in total

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