The DOI matches its Crossref record.
Lead isotopic analyses of NIST Standard Reference Materials using multiple collector inductively coupled plasma mass spectrometry coupled with a modified external correction method for mass discrimination effect
Abstract
A correction method for the mass discrimination effect was developed for isotopic analyses using multiple collector inductively coupled plasma mass spectrometry (MC-ICP-MS). For Pb isotopic analysis using MC-ICP-MS, the correction factor for the mass discrimination effect on Pb is based on the addition of TI to the sample solution and measurement of TI isotopic ratios; the correction factor obtained using Tl is directly applied to the Pb isotopes (conventional external correction). However, the series of measurements of discrimination factors for several elements, including Rb, Sr, Ru, Nd, Hf, Re, Os, Tl and Pb (mass range 80–210 u), clearly reveal that the mass discrimination factors observed using MC-ICP-MS were a linear function of mass, suggesting that the correction factors observed using Tl isotopes were not exactly identical with those for Pb isotopes. Therefore, the correction factors obtained with Tl isotopes should be corrected for mass, and then applied to the Pb isotopes. The resultant Pb isotopic ratios for NIST Standard Reference Materials show excellent agreement (within 0.03% for 206Pb/204Pb and 20 ppm for 207Pb/206Pb) with the data obtained by the thermal ionization mass spectrometry. The correction method presented clearly demonstrates the wide versatility of the external correction technique for the precise isotopic analysis using MC-ICP-MS. The possible cause of the ‘exceptionally large’ mass discrimination effect observed for Ru and Os is discussed.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Chu, N.-C., Taylor, R. N., Chavagnac, V., Nesbitt, R. W., Boella, R. M., Milton, J. A., German, C. R., Bayon, G., & Burton, K. (2002) · Journal of Analytical Atomic Spectrometry · doi:10.1039/b206707b · Cited by 1,253
Siebert, C., Nägler, T. F., & Kramers, J. D. (2001) · Geochemistry Geophysics Geosystems · doi:10.1029/2000gc000124 · Cited by 456
Belshaw, N. S., Freedman, P. A., O’Nions, R. K., Frank, M., & Guo, Y. (1998) · International Journal of Mass Spectrometry · doi:10.1016/s1387-3806(98)14150-7 · Cited by 332
Thirlwall, M. F. (2000) · Chemical Geology · doi:10.1016/s0009-2541(99)00135-7 · Cited by 274
Metadata
- Authors
- Hirata, T.
- Venue
- The Analyst
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 1996
- Volume
- 121
- Issue
- 10
- Pages
- 1407
- ISSN
- 0003-2654 (ISSN-L)
- 1364-5528
- OpenAlex
- W1966286857
- Cited by
- 200
- References
- 0
- FWCI
- 7.71
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Lead isotopic analyses of NIST Standard Reference Materials using multiple collector inductively coupled plasma mass spectrometry coupled with a modified external correction method for mass discrimination effect. https://app.cochat.ai/papers/10.1039/an9962101407
- The paper
- Hirata, T. (1996). Lead isotopic analyses of NIST Standard Reference Materials using multiple collector inductively coupled plasma mass spectrometry coupled with a modified external correction method for mass discrimination effect. The Analyst. https://doi.org/10.1039/an9962101407
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.