Evidence map›Paper›PMID 39771441›Full record

ArticlePolymers2024

Detecting Early Degradation of Wood Ultrastructure with Nonlinear Optical Imaging and Fluorescence Lifetime Analysis.

Alice Dal Fovo, Riccardo Cicchi, Claudia Gagliardi, Enrico Baria, Marco Fioravanti, Raffaella Fontana

Abstract read
In one paragraph

Article in Polymers, 2024. 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
–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

2 citing papers in PubMed.

  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

6 authors.

Alice Dal FovoNational Research Council-National Institute of Optics, Largo E. Fermi, 6, 50125 Florence, Italy.ORCID 0000-0001-7960-2546
Riccardo CicchiNational Research Council-National Institute of Optics, Largo E. Fermi, 6, 50125 Florence, Italy.ORCID 0000-0002-2583-6694
Claudia GagliardiDepartment of Agricultural, Food, Environmental and Forestry Sciences and Technologies (DAGRI), University of Florence, Piazzale delle Cascine, 18, 50144 Florence, Italy.
Enrico BariaDepartment of Physics and Astronomy, University of Florence, Via Sansone, 1, 50019 Sesto Fiorentino, Italy.ORCID 0000-0001-9679-7736
Marco FioravantiDepartment of Agricultural, Food, Environmental and Forestry Sciences and Technologies (DAGRI), University of Florence, Piazzale delle Cascine, 18, 50144 Florence, Italy.ORCID 0000-0002-4590-5044
Raffaella FontanaNational Research Council-National Institute of Optics, Largo E. Fermi, 6, 50125 Florence, Italy.

Funding

PNRR H2IOSC (Humanities and Cultural Heritage ItalianOpen Science Cloud) Project (IR0000029) CUP_B63C22000730005
6 · The paper itself

Abstract

Understanding the deterioration processes in wooden artefacts is essential for accurately assessing their conservation status and developing effective preservation strategies. Advanced imaging techniques are currently being explored to study the impact of chemical changes on the structural and mechanical properties of wood. Nonlinear optical modalities, including second harmonic generation (SHG) and two-photon excited fluorescence (TPEF), combined with fluorescence lifetime imaging microscopy (FLIM), offer a promising non-destructive diagnostic method for evaluating lignocellulose-based materials. In this study, we employed a nonlinear multimodal approach to examine the effects of artificially induced delignification on samples of Norway spruce (

Indexed as

cellulosedelignificationfluorescence lifetime imaging microscopy (FLIM)hemicelluloseligninsecond harmonic generation (SHG)two-photon excited fluorescence (TPEF)wood deterioration

Identifiers

PMID39771441
PMCPMC11678981

What OpenQuestion holds

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LicenceCC BY
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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.