Evidence map›Paper›PMID 42377315›Full record

ArticleLuminescence : the journal of biological and chemical luminescence2026

Photoluminescent Window From Delignified Wood Immobilized With Nanocellulose-Reinforced Crosslinked Alginate for Advanced Applications.

Salhah D Al-Qahtani, Ghadah M Al-Senani, Arwa S Alqahtani

Abstract read
In one paragraph

Article in Luminescence : the journal of biological and chemical luminescence, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Salhah D Al-QahtaniDepartment of Chemistry, College of Science, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.ORCID https://orcid.org/0000-0002-3876-0238
Ghadah M Al-SenaniDepartment of Chemistry, College of Science, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.ORCID https://orcid.org/0000-0001-6999-2544
Arwa S AlqahtaniDepartment of Chemistry, College of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia.

Funding

Princess Nourah bint Abdulrahman University PNURSP2026R122
6 · The paper itself

Abstract

Photoluminescent wood able to alter color upon exposure to UV light was produced. A composite comprising rare-earth aluminate nanoparticles (RAN) as a photoluminescent agent and cellulose nanocrystal-supported alginate (CNCA) as a hosting material was infiltrated into delignified hardwood (DLW), yielding transparent hardwood with photoluminescence characteristics. RAN is recognized for its excellent photostability and heat resistance. An optimal technique for generating translucent and photoluminescent hardwood entails the dispersion of RAN in cellulose nanocrystal-reinforced alginate, ensuring the absence of agglomeration. Cellulose nanocrystals were synthesized from microcrystalline cellulose by acid hydrolysis, demonstrating diameters of 7-12 nm. Cellulose nanocrystals were used as a nanofiller and a dispersant to avert the agglomeration of RAN. Both photoluminescent analysis and colorimetric parameters indicated a green color under UV light and a colorless appearance under visible light. The morphological analysis of RAN showed sizes ranging from 35 to 120 nm. The luminescent hardwoods were analyzed using several spectroscopic and microscopic methods. When excited at 375 nm, the photoluminescent hardwood exhibited an emission readout at 517 nm. Increasing the RAN level resulted in enhanced water resistance and superior protection against UV radiation. The luminous hardwood exhibited quick and reversible activity to UV radiation without fatigue.

Indexed as

AlginatesCelluloseLuminescenceNanoparticlesWoodGlucuronic AcidHexuronic AcidsUltraviolet RaysAlginatesCelluloseGlucuronic AcidHexuronic Acidsalginatecellulose nanocrystalsdelignified woodstimuli‐responsive smart window

Identifiers

PMID42377315
PMCPMC13349525

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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.