The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Determining Transport Efficiency for the Purpose of Counting and Sizing Nanoparticles via Single Particle Inductively Coupled Plasma Mass Spectrometry
Open accessAbstract
Currently there are few ideal methods for the characterization of nanoparticles in complex, environmental samples, leading to significant gaps in toxicity and exposure assessments of nanomaterials. Single particle-inductively coupled plasma-mass spectrometry (spICPMS) is an emerging technique that can both size and count metal-containing nanoparticles. A major benefit of the spICPMS method is its ability to characterize nanoparticles at concentrations relevant to the environment. This paper presents a practical guide on how to count and size nanoparticles using spICPMS. Different methods are investigated for measuring transport efficiency (i.e., nebulization efficiency), an important term in the spICPMS calculations. In addition, an alternative protocol is provided for determining particle size that broadens the applicability of the technique to all types of inorganic nanoparticles. Initial comparison, using well-characterized, monodisperse silver nanoparticles, showed the importance of having an accurate transport efficiency value when determining particle number concentration and, if using the newly presented protocol, particle size. Ultimately, the goal of this paper is to provide improvements to nanometrology by further developing this technique for the characterization of metal-containing nanoparticles.
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
Limbach, L. K., Li, Y., Grass, R. N., Brunner, T. J., Hintermann, M. A., Muller, M., Gunther, D., & Stark, W. J. (2005) · Environmental Science & Technology · doi:10.1021/es051043o · Cited by 779
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
Self-citationGondikas, A. P., Kammer, F. V. D., Reed, R. B., Wagner, S., Ranville, J. F., & Hofmann, T. (2014) · Environmental Science & Technology · doi:10.1021/es405596y · Cited by 396
Self-citationLaborda, F., Jiménez-Lamana, J., Bolea, E., & Castillo, J. R. (2013) · Journal of Analytical Atomic Spectrometry · doi:10.1039/c3ja50100k · Cited by 277
De la Calle, I., Menta, M., & Séby, F. (2016) · Spectrochimica Acta Part B: Atomic Spectroscopy · doi:10.1016/j.sab.2016.09.007 · Cited by 99
Hanigan, D., Truong, L., Schoepf, J., Nosaka, T., Mulchandani, A., Tanguay, R. L., & Westerhoff, P. (2018) · Water Research · doi:10.1016/j.watres.2018.03.062 · Cited by 69
Metadata
- Authors
- Pace, H. E., Rogers, N. J., Jarolimek, C., Coleman, V. A., Higgins, C. P., & Ranville, J. F.
- Venue
- Analytical Chemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 2011-11-29
- Volume
- 83
- Issue
- 24
- Pages
- 9361-9369
- ISSN
- 0003-2700 (ISSN-L)
- 1520-6882
- OpenAlex
- W2007774048
- Cited by
- 816
- References
- 1
- FWCI
- 19.93
- 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.