Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Applied Spectroscopy
  • Vol. 43,
  • Issue 7,
  • pp. 1252-1257
  • (1989)

Semiquantitative Survey Capabilities of Inductively Coupled Plasma Mass Spectrometry

Not Accessible

Your library or personal account may give you access

Abstract

The capabilities of Inductively Coupled Plasma Mass Spectrometry for elemental survey analysis have been characterized. The analysis is a three-step process which involves collecting a spectrum from mass 5 to 240, deconvolving the spectrum into elemental constituents, and converting the elemental count rates to concentrations. The entire process takes less than 10 min per sample. Detection limits are generally less than 1 ng/mL, and the precision of 16 replicate analyses of a sample is between 5 and 20% for the majority of the elements detected. It was determined that the figures of merit for this analysis did not vary significantly as the matrix changed.

PDF Article
More Like This
Multielemental analysis of prehistoric animal teeth by laser-induced breakdown spectroscopy and laser ablation inductively coupled plasma mass spectrometry

Michaela Galiová, Jozef Kaiser, Francisco J. Fortes, Karel Novotný, Radomír Malina, Lubomír Prokeš, Aleš Hrdlička, Tomáš Vaculovič, Miriam Nývltová Fišáková, Jiří Svoboda, Viktor Kanický, and Javier J. Laserna
Appl. Opt. 49(13) C191-C199 (2010)

Resonance-ionization mass spectrometry of carbon

L. J. Moore, J. D. Fassett, J. C. Travis, T. B. Lucatorto, and C. W. Clark
J. Opt. Soc. Am. B 2(9) 1561-1565 (1985)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.