Evidence map›Paper›PMID 26168964›Full record

ArticleAnalytical and bioanalytical chemistry2015

Recent advances in quantitative LA-ICP-MS analysis: challenges and solutions in the life sciences and environmental chemistry.

Andreas Limbeck, Patrick Galler, Maximilian Bonta, Gerald Bauer, Winfried Nischkauer, Frank Vanhaecke

Abstract read
In one paragraph

Article in Analytical and bioanalytical chemistry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

49 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. On-slide Preparation ofbioRxiv : the preprint server for biology · 2026
    Article
  6. Review
  7. Review
  8. Quantitative analysis using LA-ICP-MS and powder samples dispersed in polyvinyl alcohol films.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2025
    Article
  9. Article
  10. Article
  11. Human hair as a diagnostic tool in medicine.Biochemistry and biophysics reports · 2025
    Review
  12. Mass Spectrometry Imaging.Analytical chemistry · 2025
    Review
  13. Article
  14. Article
  15. Ways to Measure Metals: From ICP-MS to XRF.Current environmental health reports · 2025
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Andreas LimbeckInstitute of Chemical Technologies and Analytics, Division of Instrumental Analytical Chemistry, TU Wien, Getreidemarkt 9/164, 1060, Vienna, Austria, a.limbeck@tuwien.ac.at.
Patrick Galler
Maximilian Bonta
Gerald Bauer
Winfried Nischkauer
Frank Vanhaecke

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Laser ablation-inductively coupled plasma-mass spectrometry (LA-ICP-MS) is a widely accepted method for direct sampling of solid materials for trace elemental analysis. The number of reported applications is high and the application range is broad; besides geochemistry, LA-ICP-MS is mostly used in environmental chemistry and the life sciences. This review focuses on the application of LA-ICP-MS for quantification of trace elements in environmental, biological, and medical samples. The fundamental problems of LA-ICP-MS, such as sample-dependent ablation behavior and elemental fractionation, can be even more pronounced in environmental and life science applications as a result of the large variety of sample types and conditions. Besides variations in composition, the range of available sample states is highly diverse, including powders (e.g., soil samples, fly ash), hard tissues (e.g., bones, teeth), soft tissues (e.g., plants, tissue thin-cuts), or liquid samples (e.g., whole blood). Within this article, quantification approaches that have been proposed in the past are critically discussed and compared regarding the results obtained in the applications described. Although a large variety of sample types is discussed within this article, the quantification approaches used are similar for many analytical questions and have only been adapted to the specific questions. Nevertheless, none of them has proven to be a universally applicable method.

Identifiers

PMID26168964
PMCPMC4545187

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.