Evidence map›Paper›PMID 35027601›Full record

ArticleScientific reports2022

Multisensor hyperspectral imaging approach for the microchemical analysis of ultramarine blue pigments.

M González-Cabrera, K Wieland, E Eitenberger, A Bleier, L Brunnbauer, A Limbeck, H Hutter, C Haisch, B Lendl, A Domínguez-Vidal and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

M González-CabreraDepartment of Physical and Analytical Chemistry, Universidad de Jaén, Campus Las Lagunillas, s/n, 23071, Jaén, Spain.
K WielandInstitute of Chemical Technologies and Analytics, TU Wien, Getreidemarkt 9/164, 1060, Vienna, Austria.
E EitenbergerInstitute of Chemical Technologies and Analytics, TU Wien, Getreidemarkt 9/164, 1060, Vienna, Austria.
A BleierInstitute of Chemical Technologies and Analytics, TU Wien, Getreidemarkt 9/164, 1060, Vienna, Austria.
L BrunnbauerInstitute of Chemical Technologies and Analytics, TU Wien, Getreidemarkt 9/164, 1060, Vienna, Austria.
A LimbeckInstitute of Chemical Technologies and Analytics, TU Wien, Getreidemarkt 9/164, 1060, Vienna, Austria.
H HutterInstitute of Chemical Technologies and Analytics, TU Wien, Getreidemarkt 9/164, 1060, Vienna, Austria.
C HaischChair of Analytical Chemistry, Technical University of Munich, Elisabeth-Winterhalter-Weg 6, 81377, Munich, Germany.
B LendlInstitute of Chemical Technologies and Analytics, TU Wien, Getreidemarkt 9/164, 1060, Vienna, Austria.
A Domínguez-VidalDepartment of Physical and Analytical Chemistry, Universidad de Jaén, Campus Las Lagunillas, s/n, 23071, Jaén, Spain.
M J Ayora-CañadaDepartment of Physical and Analytical Chemistry, Universidad de Jaén, Campus Las Lagunillas, s/n, 23071, Jaén, Spain. mjayora@ujaen.es.

Funding

Ministerio de Economía, Industria y Competitividad, Gobierno de España BIA2017-87131-RMinisterio de Educación, Cultura y Deporte FPU15/03119
6 · The paper itself

Abstract

This work presents a multisensor hyperspectral approach for the characterization of ultramarine blue, a valuable historical pigment, at the microscopic scale combining the information of four analytical techniques at the elemental and molecular levels. The hyperspectral images collected were combined in a single hypercube, where the pixels of the various spectral components are aligned on top of each other. Selected spectral descriptors have been defined to reduce data dimensionality before applying unsupervised chemometric data analysis approaches. Lazurite, responsible for the blue color of the pigment, was detected as the major mineral phase present in synthetic and good quality pigments. Impurities like pyrite were detected in lower quality samples, although the clear identification of other mineral phases with silicate basis was more difficult. There is no correlation between the spatial distribution of the bands arising in the Raman spectra of natural samples in the region 1200-1850 cm

Identifiers

PMID35027601
PMCPMC8758711

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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.