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Record W4403511589 · doi:10.1021/acs.langmuir.4c03240

Iron Gall Ink Revisited: Visible Light-Induced, Eosin-Mediated Acceleration of Fe<sup>2+</sup> Oxidation in Pattern Nanoarchitectonics of Fe<sup>3+</sup>-Tannic Acid Films

2024· article· en· W4403511589 on OpenAlexaff
Hyunwoo Choi, Hyeong Bin Rheem, Duc Tai Nguyen, Sang Yeong Han, Hojae Lee, Insung S. Choi

Bibliographic record

VenueLangmuir · 2024
Typearticle
Languageen
FieldMaterials Science
TopicAdvanced Nanomaterials in Catalysis
Canadian institutionsKootenay Association for Science & Technology
FundersNational Research Foundation of Korea
KeywordsTannic acidMaterials scienceVisible spectrumNuclear chemistryChemistryAnalytical Chemistry (journal)NanotechnologyChemical engineeringOptoelectronicsOrganic chemistry

Abstract

fetched live from OpenAlex

Inspired by iron gall ink (IGI), the Fe 2+ ion is utilized for the continuous formation of Fe 3+ -tannic acid (TA) films through its in situ oxidation to the Fe 3+ ion. Although several IGI-based strategies have been developed to meet different application requirements, there remains a need for the precise kinetic control for Fe 2+ oxidation, along with one-step spatial controllability. This work demonstrates a visible light-induced method for oxidizing Fe 2+ to Fe 3+ ions, achieving the kinetic control over Fe 3+ -TA film formation. Photoexcitation of eosin Y leads to significantly accelerated film formation in a continuous manner, as shown by an 11-fold increase in film thickness compared with the air oxidation-based IGI method. Mechanistic studies reveal that the process is O 2 -dependent, and the kinetics of the film-forming process could be easily tuned by changing the light intensity or eosin Y concentration. Furthermore, the spatiotemporal controllability of the photoreaction allows for the pattern generation of Fe 3+ -TA complexes, proteins, and cells.

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)0.001
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 score0.009
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.016
GPT teacher head0.268
Teacher spread0.252 · 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

Citations4
Published2024
Admission routes1
Has abstractyes

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