Literature DB >> 21932006

Evaluation of sensitivity of fluorescence-based asbestos detection by correlative microscopy.

Takenori Ishida1, Maxym Alexandrov, Tomoki Nishimura, Kenji Minakawa, Ryuichi Hirota, Kiyoshi Sekiguchi, Norihiko Kohyama, Akio Kuroda.   

Abstract

Fluorescence microscopy (FM) has recently been applied to the detection of airborne asbestos fibers that can cause asbestosis, mesothelioma and lung cancer. In our previous studies, we discovered that the E. coli protein DksA specifically binds to the most commonly used type of asbestos, chrysotile. We also demonstrated that fluorescent-labeled DksA enabled far more specific and sensitive detection of airborne asbestos fibers than conventional phase contrast microscopy (PCM). However, the actual diameter of the thinnest asbestos fibers visualized under the FM platform was unclear, as their dimensions were below the resolution of optical microscopy. Here, we used correlative microscopy (scanning electron microscopy [SEM] in combination with FM) to measure the actual diameters of asbestos fibers visualized under the FM platform with fluorescent-labeled DksA as a probe. Our analysis revealed that FM offers sufficient sensitivity to detect chrysotile fibrils as thin as 30-35 nm. We therefore conclude that as an analytical method, FM has the potential to detect all countable asbestos fibers in air samples, thus approaching the sensitivity of SEM. By visualizing thin asbestos fibers at approximately tenfold lower magnifications, FM enables markedly more rapid counting of fibers than SEM. Thus, fluorescence microscopy represents an advanced analytical tool for asbestos detection and monitoring.

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Year:  2011        PMID: 21932006     DOI: 10.1007/s10895-011-0967-3

Source DB:  PubMed          Journal:  J Fluoresc        ISSN: 1053-0509            Impact factor:   2.217


  10 in total

Review 1.  Correlative fluorescence and electron microscopy on ultrathin cryosections: bridging the resolution gap.

Authors:  J M Robinson; T Takizawa; A Pombo; P R Cook
Journal:  J Histochem Cytochem       Date:  2001-07       Impact factor: 2.479

2.  Improved fluorescent proteins for single-molecule research in molecular tracking and co-localization.

Authors:  Ralf Steinmeyer; Andrey Noskov; Cornelius Krasel; Isabell Weber; Christian Dees; Gregory S Harms
Journal:  J Fluoresc       Date:  2005-09       Impact factor: 2.217

3.  Estimation of fibril lengths in chrysotile asbestos fibres.

Authors:  A W Atkinson; R B Gettins; A L Rickards
Journal:  Nature       Date:  1970-06-06       Impact factor: 49.962

4.  Detection of chrysotile asbestos by using a chrysotile-binding protein.

Authors:  Akio Kuroda; Tomoki Nishimura; Takenori Ishida; Ryuichi Hirota; Kazutaka Nomura
Journal:  Biotechnol Bioeng       Date:  2008-02-01       Impact factor: 4.530

5.  Selective detection of airborne asbestos fibers using protein-based fluorescent probes.

Authors:  Takenori Ishida; Maxym Alexandrov; Tomoki Nishimura; Kenji Minakawa; Ryuichi Hirota; Kiyoshi Sekiguchi; Norihiko Kohyama; Akio Kuroda
Journal:  Environ Sci Technol       Date:  2010-01-15       Impact factor: 9.028

6.  Preparation and characteristics of standard reference samples of fibrous minerals for biological experiments.

Authors:  N Kohyama; I Tanaka; M Tomita; M Kudo; Y Shinohara
Journal:  Ind Health       Date:  1997-07       Impact factor: 2.179

7.  Asbestos: scientific developments and implications for public policy.

Authors:  B T Mossman; J Bignon; M Corn; A Seaton; J B Gee
Journal:  Science       Date:  1990-01-19       Impact factor: 47.728

Review 8.  Mechanisms of carcinogenesis and clinical features of asbestos-associated cancers.

Authors:  B T Mossman; D W Kamp; S A Weitzman
Journal:  Cancer Invest       Date:  1996       Impact factor: 2.176

9.  An epidemiological study of the role of chrysotile asbestos fibre dimensions in determining respiratory disease risk in exposed workers.

Authors:  L Stayner; E Kuempel; S Gilbert; M Hein; J Dement
Journal:  Occup Environ Med       Date:  2007-12-20       Impact factor: 4.402

Review 10.  Asbestos exposure indices.

Authors:  M Lippmann
Journal:  Environ Res       Date:  1988-06       Impact factor: 6.498

  10 in total
  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.  Live-cell imaging of macrophage phagocytosis of asbestos fibers under fluorescence microscopy.

Authors:  Takenori Ishida; Nobutoshi Fujihara; Tomoki Nishimura; Hisakage Funabashi; Ryuichi Hirota; Takeshi Ikeda; Akio Kuroda
Journal:  Genes Environ       Date:  2019-06-05

3.  Selective detection and automated counting of fluorescently-labeled chrysotile asbestos using a dual-mode high-throughput microscopy (DM-HTM) method.

Authors:  Myoung-Ock Cho; Hyo Mi Chang; Donghee Lee; Yeon Gyu Yu; Hwataik Han; Jung Kyung Kim
Journal:  Sensors (Basel)       Date:  2013-05-02       Impact factor: 3.576

4.  Molecular engineering of a fluorescent bioprobe for sensitive and selective detection of amphibole asbestos.

Authors:  Takenori Ishida; Maxym Alexandrov; Tomoki Nishimura; Ryuichi Hirota; Takeshi Ikeda; Akio Kuroda
Journal:  PLoS One       Date:  2013-09-27       Impact factor: 3.240

  4 in total

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