Evidence map›Paper›PMID 42491310›Full record

ArticleResearch (Washington, D.C.)2026

Deep Eutectic Solvents Ignition-Triggered Interfacial Fusion for Structural-Grade Lignocellulosic Boards.

Huiru Yue, Cheng Zuo, Xinyi Hui, Jia-Long Wen, Tong-Qi Yuan

Abstract read
In one paragraph

Article in Research (Washington, D.C.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

5 authors.

Huiru YueState Key Laboratory of Efficient Production of Forest Resources, Beijing Key Laboratory of Lignocellulosic Chemistry, Beijing Forestry University, Beijing 100083, China.
Cheng ZuoState Key Laboratory of Efficient Production of Forest Resources, Beijing Key Laboratory of Lignocellulosic Chemistry, Beijing Forestry University, Beijing 100083, China.
Xinyi HuiState Key Laboratory of Efficient Production of Forest Resources, Beijing Key Laboratory of Lignocellulosic Chemistry, Beijing Forestry University, Beijing 100083, China.
Jia-Long WenState Key Laboratory of Efficient Production of Forest Resources, Beijing Key Laboratory of Lignocellulosic Chemistry, Beijing Forestry University, Beijing 100083, China.ORCID https://orcid.org/0000-0003-0156-5372
Tong-Qi YuanState Key Laboratory of Efficient Production of Forest Resources, Beijing Key Laboratory of Lignocellulosic Chemistry, Beijing Forestry University, Beijing 100083, China.ORCID https://orcid.org/0000-0002-1854-938X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lignocellulosic structural boards are often regarded as sustainable materials, yet most still depend on fossil-derived thermoset resins that generate volatile emissions, form weak and irreversible bonded interfaces, and complicate circular end-of-life management. Here, we introduce deep eutectic solvent (DES) ignition-triggered interfacial fusion, a closed-loop strategy that replaces external adhesives through a 2-stage sequence. In the ignition stage, a minimal amount of recyclable DES selectively activates lignocellulosic cell walls and mobilizes native lignin/hemicellulose toward particle contact zones, creating an interface-ready state. In the subsequent fusion stage, hot pressing reconstructs and locks these redistributed components into a continuous, lignin-rich bonding interphase, yielding an adhesive-free BioFuse-Board. The resulting BioFuse-Board delivers an internal bond strength up to 2.53 MPa (vs. the 0.45 MPa commercial requirement) and a 24-h thickness swelling of 10.05%. Mechanistically, ignition promotes β-

Identifiers

PMID42491310
PMCPMC13376383

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.