Green Fabrication of All-Nanocellulose-Based Flexible Electroluminescent Devices with Biodegradability, Recyclability, and Extreme Environment Tolerance
Bibliographic record
Abstract
Flexible electroluminescent (EL) devices have become an important part of lighting and display. However, fabricating a flexible EL device with biodegradability, recyclability, and extreme environment tolerance through a facile and green method still remains challenging to date. Herein, an all-nanocellulose-based flexible EL device with recyclable phosphors is developed by using a sandwich-structured assembly strategy. Biomass-derived cellulose nanocrystals with II crystalline allomorphs (CNCs II) with high transmittance are utilized as a film-forming agent, a dispersant, and an antioxidant for transparent electrodes. Biomass-derived cellulose nanofibers with a high aspect ratio are introduced into the luminescent layer to improve the mechanical stability of the devices. The CNC II-silver nanowire electrodes with high transmittance (81.7%) and low sheet resistance (4.4 Ω sq –1 ) demonstrate conductive stability, damage resistance, and inoxidizability. The assembled EL devices with high luminance (135.7 cd m –2 at 400 V and 20 kHz), tensile strength (16.6 MPa), and mechanical cyclic stability can work properly over a wide temperature range (−20 to 60 °C). With the action of cellulase, the entire device can be completely biodegraded within 7 h. The device prepared with recycled phosphors basically maintains the original mechanical and luminescent properties. The patternable all-nanocellulose-based EL devices with biodegradability, recyclability, and extreme environment tolerance manufactured through an environmentally friendly approach offer a favorable option for future green electronics including wearable devices and flexible display screens.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".