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Record W4393899478 · doi:10.1021/acs.macromol.3c02552

Single-Molecule Study Reveals Ion-Dependent Conformational Change and Nanomechanical Property of Crown Ether-Based Polymer

2024· article· en· W4393899478 on OpenAlexaff
Xin Liu, Ruixiang Yao, Zhe Sun, Houyu Zhang, Feng Yan, Hongbin Li, Wenke Zhang

Bibliographic record

VenueMacromolecules · 2024
Typearticle
Languageen
FieldChemistry
TopicMolecular Sensors and Ion Detection
Canadian institutionsUniversity of British Columbia
FundersNational Key Research and Development Program of ChinaMajor Research PlanProgram for New Century Excellent Talents in University
KeywordsCrown etherMoleculePolymerConformational changeEtherMaterials scienceChemical physicsIonCrystallographyChemistryStereochemistryOrganic chemistryComposite material

Abstract

fetched live from OpenAlex

The host–guest recognition of crown ethers and alkali metal ions plays a key role in many functional systems. The understanding of the static conformation of the crown ether ring and guest ion is steadily growing, but little is known about the dynamic response of the complex structure when the crown ether ring is deformed. In this study, we successfully monitored the conformational changes of the host–guest complex formed by poly(dibenzo-18-crown-6) and metal ions through single-molecule force spectroscopy and constrained geometry simulated external force calculations. A distinctive shoulder-like force plateau can be observed on the force–extension curve, which depends on both the cation and anion species. Quantum chemical calculations revealed that during the conformation change, the number of coordination bonds between the oxygen atoms on the ring and K + ions were dynamically changed from six to four with an intermediate bond number of two, and K + was gradually squeezed out of the center of the crown ether ring. In addition, the size of the alkali metal ions was found to greatly affect its deformation pathway. This study deepened our understanding of crown ether-based host–guest interactions in a brand-new vision. And, it is useful for tuning the properties of crown ether-based functional materials because the DB18C6 unit can be easily incorporated into the network of polymer materials. Furthermore, such a method can be used to explore and tune the host–guest interactions in other macrocycle-based systems.

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 categoriesnone
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 score0.698

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 communication0.0000.000
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 head0.034
GPT teacher head0.253
Teacher spread0.219 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations10
Published2024
Admission routes1
Has abstractyes

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