The DOI matches its Crossref record; 105 of the 105 references it cites were found in a registry or an index.
Inductively Coupled Plasma–Mass Spectrometry (ICP-MS) for Quantitative Analysis in Environmental and Life Sciences: A Review of Challenges, Solutions, and Trends
Abstract
This focal point review provides an overview of recent developments and capabilities of inductively coupled plasma mass spectrometry (ICPMS) coupled with different separation techniques for applications in the fields of quantitative environmental and bio-analysis. Over the past years numerous technical improvements, which are highlighted in this review, have helped to promote the evolution of ICP-MS to one of the most versatile tools for elemental quantification. In particular, the benefits and possibilities of using state-of-the-art hyphenated ICP-MS approaches for quantitative analysis are demonstrated with a focus on environmental and bio-analytical applications.
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
Absolute quantification of proteins and phosphoproteins from cell lysates by tandem MS
Gerber, S. A., Rush, J., Stemman, O., Kirschner, M. W., & Gygi, S. P. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0832254100 · Cited by 1,733
Quantitative mass spectrometric multiple reaction monitoring assays for major plasma proteins
Anderson, L., & Hunter, C. L. (2006) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m500331-mcp200 · Cited by 1,230
Analysis of protein phosphorylation using mass spectrometry: deciphering the phosphoproteome
Mann, M., Ong, S.-E., Grønborg, M., Steen, H., Jensen, O. N., & Pandey, A. (2002) · Trends in Biotechnology · doi:10.1016/s0167-7799(02)01944-3 · Cited by 900
Reaction cells and collision cells for ICP-MS: a tutorial review
Tanner, S. D., Baranov, V. I., & Bandura, D. R. (2002) · Spectrochimica Acta Part B: Atomic Spectroscopy · doi:10.1016/s0584-8547(02)00069-1 · Cited by 670
Nørregaard Jensen, O. (2004) · Current Opinion in Chemical Biology · doi:10.1016/j.cbpa.2003.12.009 · Cited by 624
Inductively coupled plasma mass spectrometry
(1998) · Spectrochemical Analysis by Atomic Absorption and Emission · doi:10.1039/9781847551894-00197 · Cited by 581
Kirkpatrick, D. S., Gerber, S. A., & Gygi, S. P. (2005) · Methods · doi:10.1016/j.ymeth.2004.08.018 · Cited by 559
Interpreting the protein language using proteomics
Jensen, O. N. (2006) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm1939 · Cited by 502
Beynon, R. J., Doherty, M. K., Pratt, J. M., & Gaskell, S. J. (2005) · Nature Methods · doi:10.1038/nmeth774 · Cited by 472
Mass spectrometry of inductively coupled plasmas
Houk, R. S. (1986) · Analytical Chemistry · doi:10.1021/ac00292a003 · Cited by 464
Cited by
Metal–Organic Framework-Based Enzyme Biocomposites
Liang, W., Wied, P., Carraro, F., Sumby, C. J., Nidetzky, B., Tsung, C.-K., Falcaro, P., & Doonan, C. J. (2021) · Chemical Reviews · doi:10.1021/acs.chemrev.0c01029 · Cited by 784
Innovative methods in soil phosphorus research: A review
Kruse, J., Abraham, M., Amelung, W., Baum, C., Bol, R., Kühn, O., Lewandowski, H., Niederberger, J., Oelmann, Y., Rüger, C., et al. (2015) · Journal of Plant Nutrition and Soil Science · doi:10.1002/jpln.201400327 · Cited by 386
Application of laser-induced breakdown spectroscopy (LIBS) in environmental monitoring
Zhang, Y., Zhang, T., & Li, H. (2021) · Spectrochimica Acta Part B: Atomic Spectroscopy · doi:10.1016/j.sab.2021.106218 · Cited by 266
Grover, K., Koblova, A., Pezacki, A. T., Chang, C. J., & New, E. J. (2024) · Chemical Reviews · doi:10.1021/acs.chemrev.3c00819 · Cited by 129
Photonic Nanosensor for Colorimetric Detection of Metal Ions
Yetisen, A. K., Montelongo, Y., Qasim, M. M., Butt, H., Wilkinson, T. D., Monteiro, M. J., & Yun, S. H. (2015) · Analytical Chemistry · doi:10.1021/ac504274q · Cited by 94
Metadata
- Authors
- Pröfrock, D., & Prange, A.
- Venue
- Applied Spectroscopy
- Publisher
- SAGE Publications
- Published
- 2012-08
- Volume
- 66
- Issue
- 8
- Pages
- 843-868
- ISSN
- 0003-7028 (ISSN-L)
- 1943-3530
- OpenAlex
- W2104995124
- Cited by
- 329
- References
- 105
- FWCI
- 18.42
- 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: Inductively Coupled Plasma–Mass Spectrometry (ICP-MS) for Quantitative Analysis in Environmental and Life Sciences: A Review of Challenges, Solutions, and Trends. https://app.cochat.ai/papers/10.1366/12-06681
- The paper
- Pröfrock, D., & Prange, A. (2012). Inductively Coupled Plasma–Mass Spectrometry (ICP-MS) for Quantitative Analysis in Environmental and Life Sciences: A Review of Challenges, Solutions, and Trends. Applied Spectroscopy. https://doi.org/10.1366/12-06681
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.
