Room-temperature phosphorescence from bamboo fibers and designed materials
Bibliographic record
Abstract
Recent developments in room-temperature phosphorescence (RTP) from biobased polymers have shown great promise in realizing sustainable RTP systems. Here, we introduce an efficient “top-down” method to achieve RTP biofibers using sixteen species of bamboo following partial delignification (B-fibers). The photophysical characterization combined with structural, surface and chemical inquiries (XRD, XPS, FTIR) along with DFT calculations revealed the fundamental reasons for RTP, associated with the interactions between cellulose, hemicelluloses and the residual lignin. Multiple emissive oxygen-containing clusters and aromatic chromophores in the B-fibers were shown to be RTP-active (wavelengths going from 450 to 530 nm at an increased excitation from 240 to 360 nm). Green afterglow with a lifetime of 294.9 ms (excitation wavelength = 270 nm) was observed while blue fluorescence and long-lived yellow-green RTP took place under 365 nm irradiation. Such effects were modulated by the crystalline environment and hydrogen bonding interactions. The RTP emission of the B-fibers was found to be sensitive to temperature, excitation and humidity. Moreover, when combined with a water-soluble fluorescent dye (following simple immersion), red afterglow emission was demonstrated under the effect of energy-transfer. Following these results, we synthesized functional luminescent materials (paper, films, textiles and aerogels), proposed herein as practical, sustainable and compostable choices for photoexcitation in the visible range.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".