Evidence map›Paper›PMID 33976237›Full record

ArticleScientific reports2021

Combined laser-based X-ray fluorescence and particle-induced X-ray emission for versatile multi-element analysis.

Pilar Puyuelo-Valdes, Simon Vallières, Martina Salvadori, Sylvain Fourmaux, Stephane Payeur, Jean-Claude Kieffer, Fazia Hannachi, Patrizio Antici

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
4.6field-weighted citation impact, top 3% of its field
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

2 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. 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

8 authors at 3 institutions in 2 countries.

Pilar Puyuelo-ValdesINRS-EMT, 1650 blvd. Lionel-Boulet, Varennes, QC, J3X 1P7, Canada.
Simon VallièresINRS-EMT, 1650 blvd. Lionel-Boulet, Varennes, QC, J3X 1P7, Canada.
Martina SalvadoriINRS-EMT, 1650 blvd. Lionel-Boulet, Varennes, QC, J3X 1P7, Canada.
Sylvain FourmauxINRS-EMT, 1650 blvd. Lionel-Boulet, Varennes, QC, J3X 1P7, Canada.
Stephane PayeurINRS-EMT, 1650 blvd. Lionel-Boulet, Varennes, QC, J3X 1P7, Canada.
Jean-Claude KiefferINRS-EMT, 1650 blvd. Lionel-Boulet, Varennes, QC, J3X 1P7, Canada.
Fazia HannachiCENBG, CNRS-IN2P3, Université de Bordeaux, 33175, Gradignan Cedex, France.
Patrizio AnticiINRS-EMT, 1650 blvd. Lionel-Boulet, Varennes, QC, J3X 1P7, Canada. antici@emt.inrs.ca.
Institut National de la Recherche Scientifique · CACentre National de la Recherche Scientifique · FRLaboratoire de Physique des deux infinis Bordeaux · FR

Funding

Compute Canada Job: pve-323-acNatural Sciences and Engineering Research Council of Canada Discovery Grant RGPIN-2018-05772
6 · The paper itself

Abstract

Particle and radiation sources are widely employed in manifold applications. In the last decades, the upcoming of versatile, energetic, high-brilliance laser-based sources, as produced by intense laser-matter interactions, has introduced utilization of these sources in diverse areas, given their potential to complement or even outperform existing techniques. In this paper, we show that the interaction of an intense laser with a solid target produces a versatile, non-destructive, fast analysis technique that allows to switch from laser-driven PIXE (Particle-Induced X-ray Emission) to laser-driven XRF (X-ray Fluorescence) within single laser shots, by simply changing the atomic number of the interaction target. The combination of both processes improves the retrieval of constituents in materials and allows for volumetric analysis up to tens of microns and on cm

Identifiers

PMID33976237
PMCPMC8113557
OpenAlexW3163460766

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.