Investigating methods of normalization for X-ray fluorescence measurements of zinc in nail clippings using the TOPAS Monte Carlo code. (April 2022)
- Record Type:
- Journal Article
- Title:
- Investigating methods of normalization for X-ray fluorescence measurements of zinc in nail clippings using the TOPAS Monte Carlo code. (April 2022)
- Main Title:
- Investigating methods of normalization for X-ray fluorescence measurements of zinc in nail clippings using the TOPAS Monte Carlo code
- Authors:
- Sharma, Utsav
Van Delinder, Kurt
Gräfe, James L.
Fleming, David E.B. - Abstract:
- Abstract: Development of portable X-ray fluorescence devices has made it easier to quickly assess trace elements such as zinc in human tissue. A TOPAS Monte Carlo code was used to investigate the use of a portable X-ray fluorescence system for detecting zinc in nail clippings. The obtained energy spectra from different nail thicknesses were analyzed and three different normalization techniques (coherent, Compton, and entire spectrum) were introduced. The simulation results suggested that coherent normalization can be a particularly robust normalization procedure. Highlights: Monte Carlo simulation was used to investigate an XRF method for zinc in nail clippings. Various normalization techniques were introduced to account for variation in signal. Coherent normalization was found to be a robust normalization procedure.
- Is Part Of:
- Applied radiation and isotopes. Volume 182(2022)
- Journal:
- Applied radiation and isotopes
- Issue:
- Volume 182(2022)
- Issue Display:
- Volume 182, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 182
- Issue:
- 2022
- Issue Sort Value:
- 2022-0182-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-04
- Subjects:
- Radiology -- Periodicals
Radiation -- Industrial applications -- Periodicals
Nuclear chemistry -- Periodicals
Internet resource
Periodical
660.298 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09698043 ↗
http://catalog.hathitrust.org/api/volumes/oclc/27456684.html ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.apradiso.2022.110151 ↗
- Languages:
- English
- ISSNs:
- 0969-8043
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 1576.565000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 21071.xml