Atom Probe Tomography Method for Determination of Iron Isotope Compositions at Nanoscale

Accurate isotope compositions of nanoparticles in planetary materials provide critical constraints on the evolution of the early solar system. Atom probe tomography (APT) can analyze isotopes in situ with the highest spatial resolution, making it ideal for nanoscale planetary materials. However, significant deviations between isotope ratios determined using APT and a traditional mass spectrometer have hindered the wide application of APT in isotope analysis. Here, we propose that these isotope ratio discrepancies arise from different uncounted rates of the isotopes in APT analysis. Theoretical assessment indicates that such discrepancies can be corrected using a suite of reference materials. Iron isotope analyses of Fe-Mn-Ni steels and meteoritic irons using APT and a multicollector inductively coupled plasma mass spectrometer (MC-ICP-MS) confirm a strong linear correlation between the two data sets, supporting the establishment of <sup>56</sup>Fe/<sup>54</sup>Fe and <sup>57</sup>Fe/<sup>54</sup>Fe calibration curves for APT data correction. The calibration curves were subsequently validated using four meteoritic irons with known Fe isotope ratios. Combining all of the errors, our corrected APT results achieve a 2σ uncertainty of <0.15‰ for δ<sup>56</sup>Fe. This precision demonstrates that our calibrated APT protocol enables accurate isotope determination, unlocking the potential of APT for precise isotope analysis of nanoscale planetary materials.

Authors

Institutions

Publication Details

Journal
Analytical Chemistry
Published
2026-03-27
DOI
https://doi.org/10.1021/acs.analchem.5c06672
Primary Topic
Paleontology and Stratigraphy of Fossils
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Atom Probe Tomography Method for Determination of Iron Isotope Compositions at Nanoscale

Gang Sha, Yang Kong, Liping Qin, Qiuli Li et al.
Analytical Chemistry
Paleontology and Stratigraphy of Fossils
article

Atom Probe Tomography Method for Determination of Iron Isotope Compositions at Nanoscale

Gang Sha, Yang Kong, Liping Qin, Qiuli Li, Weibiao Hsu, Zizhou Yang, Hejiu Hui, Weiqiang Li
article en

Abstract

Accurate isotope compositions of nanoparticles in planetary materials provide critical constraints on the evolution of the early solar system. Atom probe tomography (APT) can analyze isotopes in situ with the highest spatial resolution, making it ideal for nanoscale planetary materials. However, significant deviations between isotope ratios determined using APT and a traditional mass spectrometer have hindered the wide application of APT in isotope analysis. Here, we propose that these isotope ratio discrepancies arise from different uncounted rates of the isotopes in APT analysis. Theoretical assessment indicates that such discrepancies can be corrected using a suite of reference materials. Iron isotope analyses of Fe-Mn-Ni steels and meteoritic irons using APT and a multicollector inductively coupled plasma mass spectrometer (MC-ICP-MS) confirm a strong linear correlation between the two data sets, supporting the establishment of <sup>56</sup>Fe/<sup>54</sup>Fe and <sup>57</sup>Fe/<sup>54</sup>Fe calibration curves for APT data correction. The calibration curves were subsequently validated using four meteoritic irons with known Fe isotope ratios. Combining all of the errors, our corrected APT results achieve a 2σ uncertainty of <0.15‰ for δ<sup>56</sup>Fe. This precision demonstrates that our calibrated APT protocol enables accurate isotope determination, unlocking the potential of APT for precise isotope analysis of nanoscale planetary materials.

Analytical Chemistry
University of Science and Technology of China (CN), Planetary Science Institute (US), Chinese Academy of Sciences (CN), Center for NanoScience (DE), Purple Mountain Observatory (CN), Nanjing University of Science and Technology (CN), Institute of Geology and Geophysics (CN), Center for Excellence in Education (US), Nanjing University (CN)
Openalex Percentile: Top 3%
Paleontology and Stratigraphy of Fossils
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.