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Record W2116134282 · doi:10.1139/v09-140

A spectral displacement study of cyclodextrin/naphthenic acids inclusion complexes

2009· article· en· W2116134282 on OpenAlexaffvenue
Mohamed H. Mohamed, Lee D. Wilson, John V. Headley, Kerry M. Peru

Bibliographic record

VenueCanadian Journal of Chemistry · 2009
Typearticle
Languageen
FieldChemistry
TopicPetroleum Processing and Analysis
Canadian institutionsUniversity of SaskatchewanEnvironment and Climate Change Canada
Fundersnot available
KeywordsChemistryCarboxylateMoleculeAqueous solutionCyclodextrinNaphthenic acidStability constants of complexesStereochemistryHydrogen bondMedicinal chemistryCrystallographyOrganic chemistry

Abstract

fetched live from OpenAlex

The spectral displacement technique has been used to obtain 1:1 β-cyclodextrin (β-CD)/carboxylate anion equilibrium binding constants (K 2 ) for some complex mixtures of naphthenic acids (NAs) and some examples of single-component NAs in aqueous solution. Three specific examples of single-component NAs were chosen with variable Z values as follows: 2-hexyldecanoic acid (Z = 0; S1), trans-4-pentylcyclohexanecarboxylic acid (Z = –2; S2), and dicyclohexylacetic acid (Z = –4; S3). The estimated K 2 values for S1, S2, and S3 are as follows: 1.42 × 10 3 M –1 , 52.2 × 10 4 M –1 , and 13.1 × 10 4 M –1 , respectively. The corresponding K 2 values are 2.34 × 10 4 M –1 and 1.27 × 10 4 M –1 for commercial (Fluka) and industrial (Syncrude) sourced NAs, respectively. The magnitude of K 2 for 1:1 complexes formed between β-CD and S1, S2, or S3 did not correlate with the degree of hydrogen deficiency (Z-series) but there was a correlation with the size of the guest molecules (n) examined in this study. The correlation between complex stability and the relative size of the lipophilic fragments of the guest molecule are related to the importance of the hydrophobic effect for inclusion of such carboxylic acid guest molecules within β-CD.

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 categoriesInsufficient 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 score0.016
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 communication0.0000.000
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 head0.009
GPT teacher head0.240
Teacher spread0.231 · 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

Citations19
Published2009
Admission routes2
Has abstractyes

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