Evidence map›Paper›PMID 35214344›Full record

ArticleSensors (Basel, Switzerland)2022

Canvas Painting Analysis Using Spectroscopic Analysis and Microcharacterisation Techniques.

Braeden Borg, Michelle Dunn, Andrew S M Ang, Carl Villis

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Interpol review of paint, tape, and glass evidence 2019-2022.Forensic science international. Synergy · 2023
    Review
  3. 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

4 authors.

Braeden BorgSchool of Science, Computing and Engineering Technologies, Swinburne University of Technology, Hawthorn, VIC 3123, Australia.
Michelle DunnSchool of Science, Computing and Engineering Technologies, Swinburne University of Technology, Hawthorn, VIC 3123, Australia.ORCID 0000-0002-1089-6870
Andrew S M AngSchool of Engineering, Swinburne University of Technology, Hawthorn, VIC 3123, Australia.ORCID 0000-0001-7664-9971
Carl VillisPaintings Conservation, National Gallery of Victoria, Melbourne, VIC 3000, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Raman spectroscopy is a well-recognised tool for the analysis of materials in canvas paintings. However, it can be difficult to interpret the peaks of the spectra without the additional context of the artwork such as the age, provenance, or colour. Reflectance spectrophotometry can be used to capture the colour of pigments, dyes, and lacquers, but is seldom used to complement Raman data. Additionally, reflectance spectrophotometry results can be influenced by the surface profile of the painting. To overcome these limitations, this work brings together three different analysis modalities to provide a singular, analytical map of the artwork. Raman spectroscopy was used to conduct the chemical identification of pigments, binding media, and varnish present in a synthetic painting sample. Reflectance spectrophotometry was applied to obtain colour information of the surface paint of the sample. Three-dimensional optical profilometry data was used to characterise the micro topology of the paint surface. These three data sets were spatially matched allowing the recorded spectroscopic data to be displayed with the corresponding colour and surface topography across the paint surface.

Indexed as

3-d optical profilometrycultural heritage conservationmicro characterisationRaman spectroscopyreflectance spectrophotometryspatial mapping

Identifiers

PMID35214344
PMCPMC8878647

What OpenQuestion holds

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Registered trials

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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.