| dc.contributor.author | Ulanowski, Z. | |
| dc.contributor.author | Wang, Z. | |
| dc.contributor.author | Kaye, Paul H. | |
| dc.contributor.author | Ludlow, I.K. | |
| dc.date.accessioned | 2010-05-27T10:34:20Z | |
| dc.date.available | 2010-05-27T10:34:20Z | |
| dc.date.issued | 1998 | |
| dc.identifier.citation | Ulanowski , Z , Wang , Z , Kaye , P H & Ludlow , I K 1998 , ' Respirable asbestos detection using light scattering and magnetic alignment ' , Journal of Aerosol Science , vol. 29 , no. Supp I , pp. 13-14 . https://doi.org/10.1016/S0021-8502(98)00083-4 | |
| dc.identifier.issn | 0021-8502 | |
| dc.identifier.other | dspace: 2299/4545 | |
| dc.identifier.other | ORCID: /0000-0003-4761-6980/work/32374680 | |
| dc.identifier.other | ORCID: /0000-0001-6950-4870/work/32372059 | |
| dc.identifier.uri | http://hdl.handle.net/2299/4545 | |
| dc.description | Original article can be found at: http://www.sciencedirect.com/science/journal/00218502 Copyright Elsevier Ltd. [Full text of this article is not available in the UHRA] | |
| dc.description.abstract | The detection of respirable asbestos fibres in the ambient environment has grown in importance as the health risks associated with this material have become more fully understood. However, there is no real-time method of identifying airborne asbestos in situ. A light scattering instrument allowing the detection of respirable asbestos has been constructed. It captures data relating to the spatial distribution of light scattered by single particles in flow using a photodiode array containing two concentric, segmented detector rings. The data allows real-time categorization of airborne particles accordingly to their shape (Kaye et al. 1997). However, discrimination on the basis of morphology alone can lead to misclassification - most notably to false positive identification of asbestos. To overcome this problem, the system has been enhanced to take advantage of magnetic properties of asbestos, which are virtually unique among respirable fibres. | en |
| dc.language.iso | eng | |
| dc.relation.ispartof | Journal of Aerosol Science | |
| dc.title | Respirable asbestos detection using light scattering and magnetic alignment | en |
| dc.contributor.institution | School of Physics, Astronomy and Mathematics | |
| dc.contributor.institution | Particle Instruments and diagnostics | |
| dc.contributor.institution | Centre for Research in Biodetection Technologies | |
| dc.contributor.institution | Centre for Hazard Detection and Protection Research | |
| dc.contributor.institution | Centre for Atmospheric and Climate Physics Research | |
| dc.contributor.institution | School of Physics, Engineering & Computer Science | |
| dc.contributor.institution | Department of Physics, Astronomy and Mathematics | |
| dc.description.status | Peer reviewed | |
| rioxxterms.versionofrecord | 10.1016/S0021-8502(98)00083-4 | |
| rioxxterms.type | Journal Article/Review | |
| herts.preservation.rarelyaccessed | true | |
