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Record W4413367839 · doi:10.1002/cplu.202500453

Acid‐Responsive Inks via Shuttling in a Pseudorotaxane Complex

2025· article· en· W4413367839 on OpenAlexafffund
Yihan Shi, Robert Plavan, Miguel A. Soto, Mark J. MacLachlan

Bibliographic record

VenueChemPlusChem · 2025
Typearticle
Languageen
FieldChemistry
TopicSupramolecular Chemistry and Complexes
Canadian institutionsUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research Chairs
KeywordsChemistryProtonationMoleculeDeprotonationCationic polymerizationSolventPhotochemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Pseudorotaxanes are host‐guest complexes where a guest molecule threads through a ring‐shaped host via noncovalent interactions. If the guest has two recognition sites, the host can dynamically shuttle between them. These complexes enable stimulus‐responsive molecular shuttles, where a stimulus, such as pH change, can control the position of the host, affecting properties like color and solubility. In this study, a guest molecule ( Gc ) with two recognition sites—1,4‐dialkoxyphenylene and pH‐sensitive 1,5‐diaminonaphthalene—is synthesized. These sites interact strongly with cyclobis(paraquat‐ p ‐phenylene) ( CBPQT 4 + ), a cationic host. CBPQT 4 + binds to the neutral diaminonaphthalene group to produce a green solution. Upon protonation of the diaminonaphthalene group, the host shifts to the dialkoxyphenylene site, turning the solution light orange. This color‐switching behavior remains stable over multiple protonation‐deprotonation cycles. The pseudorotaxane complex can also be disassembled via slow solvent diffusion, allowing recovery of the Gc and CBPQT 4 + components. Additionally, cellulose nanocrystal films incorporating the Gc ⊂ CBPQT 4 + complex show similar green‐to‐orange color shifts, demonstrating their potential for information encryption applications.

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), Insufficient payload (model declined to judge)
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 score0.118
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
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.014
GPT teacher head0.261
Teacher spread0.247 · 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

Citations1
Published2025
Admission routes2
Has abstractyes

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