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Record W2003839629 · doi:10.1021/jp002096p

Solid-State <sup>23</sup>Na Nuclear Magnetic Resonance of Sodium Complexes with Crown Ethers, Cryptands, and Naturally Occurring Antibiotic Ionophores:  A Direct Probe to the Sodium-Binding Sites

2000· article· en· W2003839629 on OpenAlexaff
Alan Wong, Gang Wu

Bibliographic record

VenueThe Journal of Physical Chemistry A · 2000
Typearticle
Languageen
FieldChemistry
TopicAdvanced NMR Techniques and Applications
Canadian institutionsQueen's University
Fundersnot available
KeywordsCryptandChemistryIsotopes of sodiumSodiumChemical shiftMagic angle spinningQuadrupoleLigand (biochemistry)Solid-state nuclear magnetic resonanceValence (chemistry)IonophoreIonIonic bondingNuclear quadrupole resonanceNuclear magnetic resonance spectroscopyAnalytical Chemistry (journal)Inorganic chemistryNuclear magnetic resonancePhysical chemistryStereochemistryMembraneAtomic physics

Abstract

fetched live from OpenAlex

We report a systematic solid-state 23 Na nuclear magnetic resonance study of sodium complexes with crown ethers, cryptands, and naturally occurring antibiotic ionophores. Precise information about 23 Na quadrupole coupling constants and chemical shifts was determined from analysis of 23 Na magic-angle spinning (MAS) NMR spectra. We found that the experimental 23 Na chemical shifts can be related to an empirical parameter that is a function of the atomic valence of the donor ligand, the Na + −ligand distance, and the coordination number (CN) around the Na + ion of interest. A reasonably good correlation was also observed between the 23 Na quadrupole parameters measured in CDCl 3 solution and those measured in the solid state, indicating that the cation exchange is slow in CDCl 3 . In MeOH solution, however, neither 23 Na quadrupole parameters nor chemical shifts of the Na−ionophore complexes show correlation with the corresponding solid-state data. Finally, we report the 23 Na chemical shift tensor in Na(12C4) 2 ClO 4: δ 11 = δ 22 = −1 ppm and δ 33 = −15 ppm.

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 score0.010
Threshold uncertainty score0.536

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 science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.008
GPT teacher head0.259
Teacher spread0.250 · 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

Citations46
Published2000
Admission routes1
Has abstractyes

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