Evidence map›Paper›PMID 40323692›Full record

ArticleChemSusChem2025

Dynamic Morphological Transformation and Self-Assembly of DNA-Functionalized Cellulose Nanocrystal Building Blocks.

Jinsu Park, Youngeun Kim, Seung-Yeop Kwak

Abstract read
In one paragraph

Article in ChemSusChem, 2025. 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

3 authors.

Jinsu ParkDepartment of Materials Science and Engineering, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, South Korea.ORCID 0000-0001-9037-6965
Youngeun KimDepartment of Materials Science and Engineering, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, South Korea.ORCID 0000-0002-9404-6936
Seung-Yeop KwakDepartment of Materials Science and Engineering, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, South Korea.ORCID 0000-0002-8903-4287

Funding

Creative-Pioneering Researchers Program through Seoul National UniversityNational Research Foundation of Korea (NRF) 2020R1A2C1005394SNU Materials Education/Research Division for Creative Global Leaders No. 4120200513611
6 · The paper itself

Abstract

Self-assembly of cellulose nanocrystals represents one of important pillars of nanoscience that integrates natural design motifs into development for sustainable solutions in key industries. However, there is only a limited number of methods that confer manipulation of interparticle interaction between cellulose nanocrystal building blocks and synthesis of well-defined self-assembly architectures. Herein, a DNA-mediated strategy that enables a dynamic stepwise rod-to-sphere-to-rod morphological transformation of cellulose building blocks is introduced, culminating in the formation of slab-like cellulose architectures in colloidal states. This work establishes a strategic bridge between cellulose nanocrystal assembly and programmable anisotropic nanoparticle systems while addressing a long-standing challenge in DNA nanotechnology to producing scalable, biocompatible micro-scale self-assembly architectures. This work is envisioned that it may galvanize further research that accelerate the development of transformative solutions to address unmet challenges in medicine, energy, and soft robotics, particularly as carriers and scaffolds.

Indexed as

CelluloseDNANanoparticlesCelluloseDNAartificial cellulosecellulose nanocrystalCNC‐DNA hybridsDNA‐mediated self‐assemblymicroscale polysaccharidal assembly architecture

Identifiers

PMID40323692
PMCPMC12302319

What OpenQuestion holds

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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.