The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Single Particle Inductively Coupled Plasma Mass Spectrometry: A Powerful Tool for Nanoanalysis
Open accessAbstract
Single particle inductively coupled plasma mass spectrometry is an emergent ICPMS method for detecting, characterizing, and quantifying nanoparticles. Although the number of applications reported to date is limited, the relatively simple instrumental requirements, the low number concentration detection levels attainable, and the possibility to detect both the presence of dissolved and particulate forms of an element make this methodology very promising in the nanoscience related areas.
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
Cites
von der Kammer, F., Ferguson, P. L., Holden, P. A., Masion, A., Rogers, K. R., Klaine, S. J., Koelmans, A. A., Horne, N., & Unrine, J. M. (2012) · Environmental Toxicology and Chemistry · doi:10.1002/etc.723 · Cited by 448
Cited by
Nanoparticle Size Detection Limits by Single Particle ICP-MS for 40 Elements
Lee, S., Bi, X., Reed, R. B., Ranville, J. F., Herckes, P., & Westerhoff, P. (2014) · Environmental Science & Technology · doi:10.1021/es502422v · Cited by 448
Characterization of Nanomaterials
Mudalige, T., Qu, H., Van Haute, D., Ansar, S. M., Paredes, A., & Ingle, T. (2019) · Nanomaterials for Food Applications · doi:10.1016/b978-0-12-814130-4.00011-7 · Cited by 261
Hendel, T., Wuithschick, M., Kettemann, F., Birnbaum, A., Rademann, K., & Polte, J. (2014) · Analytical Chemistry · doi:10.1021/ac502053s · Cited by 235
Metadata
- Authors
- Laborda, F., Bolea, E., & Jiménez-Lamana, J.
- Venue
- Analytical Chemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 2013-12-18
- Volume
- 86
- Issue
- 5
- Pages
- 2270-2278
- ISSN
- 0003-2700 (ISSN-L)
- 1520-6882
- OpenAlex
- W2073052995
- Cited by
- 505
- References
- 1
- FWCI
- 21.18
- Type
- journal article
- Language
- en
- Open access
- green
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
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.