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Record W4408012717 · doi:10.1016/j.cej.2025.161059

Laser-etched flexible microsupercapacitors based on nanocellulose and conductive metal–organic frameworks

2025· article· en· W4408012717 on OpenAlexaff
Shang Jiang, Xueying Kong, Hongli Chen, Weibing Wu, Huining Xiao, Maria Strømme, Chao Xu

Bibliographic record

VenueChemical Engineering Journal · 2025
Typearticle
Languageen
FieldMaterials Science
TopicSupercapacitor Materials and Fabrication
Canadian institutionsUniversity of New Brunswick
FundersStiftelsen ÅforskVetenskapsrådetNational Natural Science Foundation of China
KeywordsNanocelluloseMaterials scienceElectrical conductorLaserElectrically conductiveMetal-organic frameworkNanotechnologyComposite materialChemical engineeringCelluloseChemistryOrganic chemistryOptics

Abstract

fetched live from OpenAlex

Freestanding, conductive, and flexible nanopapers composed of cellulose nanofibers (CNF) and conductive metal–organic frameworks (c-MOF) was prepared. A simple laser etching technique was employed to process the CNF@c-MOF nanopapers into interdigitated electrodes, enabling the assembly of ultrathin microsupercapacitors (MSCs). The MSCs exhibit a high volumetric capacitance of 36.7 F cm −3 , rapid charge–discharge rates, excellent flexibility, and outstanding cycle stability. • Freestanding, flexible cellulose@conductive MOF nanopaper electrodes were prepared. • Laser etching enabled the design of nanopaper-based microsupercapacitors (MSCs). • MSCs are ultrathin (45 µm) and exhibit excellent flexibility. • Ultrathin MSCs achieved a high volumetric capacitance of up to 36.7 F cm −3 . Flexible supercapacitors hold promise for applications in wearable electronic devices. However, the challenges of achieving flexibility, miniaturization, and high volumetric capacitance persist. In this work, precise laser etching of cellulose composites, prepared via in-situ growth of conductive metal–organic frameworks (c-MOFs) on cellulose nanofibers (CNF), was employed to fabricate flexible, binder-free, and integrated microsupercapacitors (MSCs). The interfacial synthesis of Ni 3 (HITP) 2 (a type of c-MOF) on the surface of CNF yields a continuous and uniform conductive shell, enabling efficient electron transfer along the CNF@c-MOF nanofibers. The interwoven structure of the nanofibers creates a hierarchical porous network with enhanced surface area featuring interconnected porous channels, enabling rapid ion transport. The laser etching technique facilitates one-step production of integrated MSCs with a precisely interdigitated configurations and micron-scale accuracy. The fabricated MSCs demonstrate excellent mechanical stability, with a tensile strength of up to 81.9 MPa, and remarkable flexibility, maintaining consistent electrochemical performance under bending stress. The flexible device, with a thickness of only 45 µm, achieves a high volumetric specific capacitance of 36.7 F cm −3 at a current density of 0.17 mA cm −2 and a specific energy density of 2,497.5 µWh cm −3 at a power density of 53.3 mW cm −3 . This study provides a new strategy for designing flexible, binder-free, integrated MSCs with high capacitances and long cyclic stability, demonstrating significant potential for applications in wearable electronics.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.213
Teacher spread0.206 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2025
Admission routes1
Has abstractyes

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