Evidence map›Paper›PMID 40192125›Full record

ArticleNano letters2025

Defectless and Uniform Single-Crystallite Dispersions of Sustainable Wood Nanocellulose with a Regulated Right-Handed Twist Periodicity.

Tomoki Ito, Kazuho Daicho, Shuji Fujisawa, Tsuguyuki Saito, Kayoko Kobayashi

Abstract read
In one paragraph

Article in Nano letters, 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

5 authors.

Tomoki ItoDepartment of Biomaterial Sciences, Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-8657, Japan.ORCID 0000-0002-2473-7117
Kazuho DaichoInstitute of Engineering Innovation, School of Engineering, University of Tokyo, 2-11-16 Yayoi, Bunkyo-ku, Tokyo 113-8656, Japan.ORCID 0000-0003-4203-2257
Shuji FujisawaDepartment of Biomaterial Sciences, Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-8657, Japan.ORCID 0000-0002-5221-6781
Tsuguyuki SaitoDepartment of Biomaterial Sciences, Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-8657, Japan.ORCID 0000-0003-1073-6663
Kayoko KobayashiDivision of Forest and Biomaterials Science, Graduate School of Agriculture, Kyoto University, Sakyo-ku, Kyoto 606-8502, Japan.ORCID 0000-0003-0459-7900

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Controlling the quality of cellulose nanofibers (CNFs), such as dispersibility and defects, is crucial for fully exploiting sustainable wood-derived CNFs. The dispersibility of CNFs is now tailorable, whereas the defects are still uncontrollable. This study is the first to demonstrate defect suppression through the selection of raw material species and the chemical pretreatment for cellulose. Two raw materials of softwood pulp and holocellulose are chosen from the perspective of the nanoscale supramolecular structure of plant celluloses. These two materials are subjected to regioselective surface oxidation using 4-acetamido-2,2,6,6-tetramethylpiperidinyl-1-oxyl as a catalyst at two different pHs to prepare four types of CNFs. Through statistical analysis of the CNF morphology using atomic force microscopy (AFM) image processing, we found a process yielding defectless CNF dispersions comprising uniform single crystallite units of cellulose. Wavelet transform analysis of AFM height profiles further revealed that the defectless CNFs exhibit regulated twist periodicity along much of their length.

Indexed as

cellulose nanofibersdefectsstatistical analysistwistwavelet transform

Identifiers

PMID40192125
PMCPMC12007098

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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.