Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Exploring the Accuracy of Isotopic Analyses in Atom Probe Mass Spectrometry

Published

Author(s)

Frederick Meisenkothen, Daniel V. Samarov, Irina Kalish, Eric B. Steel

Abstract

Atom probe tomography (APT) can theoretically deliver accurate chemical and isotopic analyses at a high level of sensitivity, precision, and spatial resolution. However, empirical APT data often contain significant biases that lead to erroneous chemical concentration and isotopic abundance measurements. The present study explores the accuracy of quantitative isotopic analyses performed via atom probe mass spectrometry. A machine learning-based adaptive peak fitting algorithm was developed to provide a reproducible and mathematically defensible means to assign regions of interest in the mass spectrum to specific ion species. The isotopic abundance measurements made with the atom probe are compared directly with the known isotopic abundance values for each of the materials. Even in the presence of exceedingly high numbers of multi-hit detection events (up to 80%), and in absence of any deadtime corrections, isotopic abundance measurements were consistently measured with an accuracy better than 3% relative.
Citation
Ultramicroscopy
Volume
216

Keywords

atom probe, mass spectrometry, isotopic analysis, peak fitting, multi-hit detection events

Citation

Meisenkothen, F. , Samarov, D. , Kalish, I. and Steel, E. (2020), Exploring the Accuracy of Isotopic Analyses in Atom Probe Mass Spectrometry, Ultramicroscopy, [online], https://doi.org/10.1016/j.ultramic.2020.113018 (Accessed October 13, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created May 21, 2020, Updated June 30, 2020