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Record W4414985633 · doi:10.1002/adfm.202509239

Luminescent Squid‐Inspired Phosphorescent Hydrogels with Persistent Afterglow and Dynamic Information Display

2025· article· en· W4414985633 on OpenAlexaff
Zhiheng Zhou, Xinzhen Fan, Chuanzhuang Zhao

Bibliographic record

VenueAdvanced Functional Materials · 2025
Typearticle
Languageen
FieldMaterials Science
TopicLuminescence and Fluorescent Materials
Canadian institutionsUniversité de MontréalUniversité du Québec à Montréal
FundersNational Natural Science Foundation of China
KeywordsPhosphorescenceSelf-healing hydrogelsLuminescencePolyacrylic acidAfterglowPolymerizationAcrylic acidPersistent luminescence

Abstract

fetched live from OpenAlex

Abstract A critical challenge in multifunctional room‐temperature phosphorescent (RTP) hydrogels is the balance between the persistent afterglow and the editable phosphorescent information. Inspired by the Hawaiian bobtail squid ( Euprymna scolopes ), which modulates bioluminescence through symbiotic bacterial storage and release, a biomimetic RTP hydrogel system is introduced that overcomes this limitation. The hydrogel, synthesized via polymerization of acrylic acid (AA) with diethylenetriamine (DETA), followed by Ca 2+ coordination with COO − in polyacrylic acid (PAA) chains, exhibits remarkable phosphorescence (afterglow > 6.5 s) and three synergistic functionalities: 1) Dynamic information re‐editability via water erasing and salt printing for real‐time information programming; 2) Thermomechanical responsiveness enabling reversible stiffness modulation and thermal concealment of photonic information; 3) Self‐healing through dynamic hydrogen bonding, facilitating dynamic reconfiguration of luminescent patterns. This RTP hydrogel establishes a robust platform for the edition of information, which emphasizes the potential of bioinspired strategies for advancing intelligent materials in bioimaging, flexible displayers, and information encryption.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.022
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.004
GPT teacher head0.201
Teacher spread0.198 · 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 teacher head, not a consensus.

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

Citations7
Published2025
Admission routes1
Has abstractyes

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