Evidence map›Paper›PMID 40400210›Full record

ArticleAngewandte Chemie (International ed. in English)2025

Lignin Dissolution and Direct Ultrasmall-Lignin-Nanoparticle Formation in Acidic and Alkaline Deep Eutectic Solvents: A Molecular-Level Insight.

Xin Yue, Jinxin Lin, Otto Mankinen, Terhi Suopajärvi, Marja Mikola, Atte Mikkelson, Harri Huttunen, Liheng Chen, Juha Ahola, Ville-Veikko Telkki and 2 more

Abstract read
In one paragraph

Article in Angewandte Chemie (International ed. in English), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
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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

12 authors.

Xin Yue *Fiber and Particle Engineering Research Unit, University of Oulu, Oulu, 90014, Finland.ORCID https://orcid.org/0000-0003-1364-3390
Jinxin Lin *School of Chemical Engineering and Light Industry, Guangdong University of Technology, Guangdong, 510006, China.
Otto MankinenNMR Research Unit, University of Oulu, Oulu, 90014, Finland.ORCID https://orcid.org/0000-0002-0580-090X
Terhi SuopajärviFiber and Particle Engineering Research Unit, University of Oulu, Oulu, 90014, Finland.ORCID https://orcid.org/0000-0001-5072-3838
Marja MikolaChemical Process Engineering Research Unit, University of Oulu, Oulu, 90014, Finland.ORCID https://orcid.org/0000-0001-9352-3967
Atte MikkelsonVTT Technical Research Center of Finland Ltd., Espoo, 02150, Finland.ORCID https://orcid.org/0000-0002-8582-1515
Harri HuttunenUnit of Measurement Technology MITY, University of Oulu, Oulu, 87400, Finland.
Liheng ChenSchool of Chemical Engineering and Light Industry, Guangdong University of Technology, Guangdong, 510006, China.
Juha AholaChemical Process Engineering Research Unit, University of Oulu, Oulu, 90014, Finland.ORCID https://orcid.org/0000-0001-7595-0711
Ville-Veikko TelkkiNMR Research Unit, University of Oulu, Oulu, 90014, Finland.ORCID https://orcid.org/0000-0003-0846-6852
Shirong SunSchool of Chemical Engineering and Light Industry, Guangdong University of Technology, Guangdong, 510006, China.ORCID https://orcid.org/0000-0002-1101-2571
Henrikki LiimatainenFiber and Particle Engineering Research Unit, University of Oulu, Oulu, 90014, Finland.ORCID https://orcid.org/0000-0002-7911-2632

Funding

BioKainuu VN/24008/2021-OKM-1European Research Council 772110National Natural Science Foundation of China 22208061Research Council of Finland 340099Research Council of Finland 355001Walter Ahlström Foundation 20240271
6 · The paper itself

Abstract

Although deep eutectic solvents (DESs) have demonstrated significant potential in lignin processing, their influence on molecular stacking and conformational evolution during lignin dissolution and nanoparticle formation remains insufficiently understood. Here, we develop a green, straightforward, and single-step approach to produce self-assembled lignin nanoparticles (LNPs). The LNPs obtained using the acidic DES method exhibited a great size reduction, with an average size approximately one-ninth of that produced by conventional solvent-exchange methods. To gain mechanistic insights into the reconstruction, dissolution, and self-assembly of lignin in DESs, we integrate structural characterization with molecular dynamics simulations. Specifically, we simulate the dynamic behavior and configurational states of high-molar-mass lignin models (4,182 g mol

Indexed as

Deep eutectic solventLigninMolecular dynamics simulationNoncovalent interaction

Identifiers

PMID40400210
PMCPMC12281085

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.