Literature DB >> 20000675

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

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

Abstract

Fluorescence microscopy (FM) is one of the most important analytical tools in modern life sciences, sufficiently sensitive to allow observation of single molecules. Here we describe the first application of the FM technique for the detection of inorganic environmental pollutants-airborne asbestos fibers that can cause asbestosis, mesothelioma, and lung cancer. In order to assess FM capabilities for detecting and counting asbestos fibers, we screened E. coli lysate for proteins that bind to amphibole asbestos. In combination with the previously discovered E. coli protein DksA (Kuroda et al., Biotechnol. Bioeng. 2008, 99, 285-289) that can specifically bind to chrysotile, the newly identified GatZ protein was used for selective and highly sensitive detection of two different asbestos types. Our novel FM-based method overcomes a number of limitations of the commonly used phase-contrast microscopy (PCM) method, offering a convenient alternative to PCM for airborne asbestos monitoring.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20000675     DOI: 10.1021/es902395h

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  7 in total

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

Authors:  Takenori Ishida; Maxym Alexandrov; Tomoki Nishimura; Kenji Minakawa; Ryuichi Hirota; Kiyoshi Sekiguchi; Norihiko Kohyama; Akio Kuroda
Journal:  J Fluoresc       Date:  2011-09-21       Impact factor: 2.217

2.  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

3.  In Situ Liquid Cell Observations of Asbestos Fiber Diffusion in Water.

Authors:  Lei Wu; Carlos Ortiz; Ye Xu; Jane Willenbring; Douglas Jerolmack
Journal:  Environ Sci Technol       Date:  2015-11-02       Impact factor: 9.028

4.  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

5.  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

6.  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

7.  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

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.