Evidence map›Paper›PMID 41900273›Full record

ArticleMicromachines2026

Synthesis and Characterization of CNC/CNF/rGO Composite Films for Advanced Functional Applications.

Ghazaleh Ramezani, Ion Stiharu, Theo G M van de Ven, Hossein Ramezani, Vahe Nerguizian

Abstract read
In one paragraph

Article in Micromachines, 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.

Ghazaleh RamezaniDepartment of Mechanical and Industrial Engineering, Concordia University, Montreal, QC H3G 1M8, Canada.ORCID 0009-0006-8797-9136
Ion StiharuDepartment of Mechanical and Industrial Engineering, Concordia University, Montreal, QC H3G 1M8, Canada.ORCID 0000-0001-7505-1441
Theo G M van de VenDepartment of Chemistry, McGill University, Montreal, QC H4A 3J1, Canada.
Hossein RamezaniDepartment of Mechanical Engineering, Clemson University, Clemson, SC 29634, USA.
Vahe NerguizianDépartement de Génie Électrique, École de Technologie Supérieure, Montreal, QC H3C 1K3, Canada.

Funding

Natural Sciences and Engineering Research Council of Canada RGPIN 1512/2021
6 · The paper itself

Abstract

Developing advanced functional materials requires the synergistic integration of nanoscale reinforcements with tailored properties. In this work, composite films of cellulose nanocrystals (CNCs), cellulose nanofibrils (CNFs), and reduced graphene oxide (rGO) were synthesized using a combination of solution casting, high shear homogenization, vacuum filtration, and environmentally friendly chemical reduction. The resulting CNC/CNF/rGO films exhibited a robust hierarchical structure with strong interfacial interactions, enabling exceptional mechanical properties, specifically a tensile strength of 215 MPa and a Young's modulus of 18 GPa, alongside a continuous conductive network confirmed by frequency-independent electrical conductivity up to 30 kHz. Comprehensive dielectric characterization revealed frequency-dependent permittivity and low dielectric loss, aligning with Maxwell-Wagner theoretical predictions for heterogeneous composites. The composites also demonstrated thermal stability, with electrical conductivity increasing monotonically from 0 °C to 200 °C. These findings highlighted the CNC/CNF/rGO films' suitability for applications in flexible electronics, electromagnetic shielding, packaging, and high-performance structural materials. Future optimization and modeling approaches, including fractional calculus, are recommended to further enhance multifunctionality and exploit the unique synergistic interactions intrinsic to nanocellulose-graphene oxide platforms.

Indexed as

cellulose nanocrystalscellulose nanofibrilscomposite filmsdielectric spectroscopyelectrical conductivitymechanical propertiesreduced graphene oxide

Identifiers

PMID41900273
PMCPMC13028729

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.