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Record W3159672655 · doi:10.26434/chemrxiv.14458854.v1

Binding of Heterocycles by Cyclohexanohemicucurbiturils and Solid-Phase Extraction of Sulfur-Containing Heterocycles from Water

2021· preprint· en· W3159672655 on OpenAlexaff
Tatsiana Shalima, Kamini A. Mishra, Sandra Kaabel, Lukáš Ustrnul, Simona Bartkova, Kaia Tõnsuaadu, Ivo Heinmaa, Riina Aav

Bibliographic record

VenueChemRxiv · 2021
Typepreprint
Languageen
FieldChemistry
TopicChemical Reaction Mechanisms
Canadian institutionsMcGill University
FundersEuropean Regional Development FundHorizon 2020 Framework ProgrammeEesti Teadusagentuur
KeywordsChemistrySulfurSorbentSolid phase extractionSorptionExtraction (chemistry)Isothermal titration calorimetryThermogravimetryAqueous solutionOrganic chemistryInorganic chemistryAdsorptionPhysical chemistry

Abstract

fetched live from OpenAlex

Here we report a study on cyclohexanohemicucurbit[8]uril (cycHC[8]) binding of sulfur-, oxygen- and nitrogen-containing heterocycles in both solid state and solution, which is investigated by single crystal X-ray diffraction, NMR spectroscopy, isothermal titration calorimetry, and thermogravimetry. Potential guests include environmental pollutants, hazardous compounds, and bioactive substances. We found that cycHC[8] encapsulates five- and six-membered sulfur- and oxygen-containing unsubstituted heterocycles and can be used as a selective sorption material for the extraction of sulfur-heterocycles from water. Both cycHC[6] and cycHC[8] can remove a substituted heterocycle, α-lipoic acid, from an aqueous solution via the formation of an external complex. The results show that cycHC[ n ] is a promising reusable sorbent material with the potential to be employed in molecular recognition and highly specific solid-phase extraction of sulfur-heterocycles.

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 score0.002
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.001
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 head0.021
GPT teacher head0.306
Teacher spread0.286 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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