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Record W3041355405 · doi:10.1021/acs.macromol.0c00683

Active Role of Water in the Hydration of Macromolecules with Ionic End Group for Hydrophobic Effect-Caused Assembly

2020· article· en· W3041355405 on OpenAlexafffund
Huiwen He, Zhen Liu, Si Chen, Xiaohua He, Xu Wang, Xiaosong Wang

Bibliographic record

VenueMacromolecules · 2020
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSpectroscopy and Quantum Chemical Studies
Canadian institutionsUniversity of Waterloo
FundersChina Scholarship CouncilEast China Normal UniversityMinistry of Science and Technology of the People's Republic of ChinaNatural Sciences and Engineering Research Council of CanadaNational Natural Science Foundation of China
KeywordsChemistryAqueous solutionMacromoleculeMicelleIonic bondingHydrophobic effectSupramolecular chemistryPhosphoniumPolymer chemistryFourier transform infrared spectroscopyHydrophobeMoleculeIonOrganic chemistryChemical engineering

Abstract

fetched live from OpenAlex

The role of water in the hydration and aqueous assembly of hydrophobic P+X– (P+: macromolecular phosphonium cation, X–: anion) was investigated via complementary Fourier transform infrared (FT-IR) and low-field NMR analyses. The hydration of the macromolecular backbone was dependent on X–. When X– is I–, the ionic end group ordered water molecules that exerted a detectable long-range effect of dehydrating the backbone. The consequent hydrophobic interaction drove the aqueous assembly of P+I– into micelle-like aggregates, with the ionic group exposed to water. In contrast, the ion pair with a hydrophobic anion of [BPh4]− was not able to hold water and did not deplete the hydration water. The hydrated backbone endowed the assembly of P+[BPh4]− into vesicles that were driven by hydration interactions. This elucidation at the molecular level is craved to progress the aqueous supramolecular chemistry.

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 score0.003
Threshold uncertainty score0.399

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)0.0000.000

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 head0.006
GPT teacher head0.226
Teacher spread0.220 · 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

Citations12
Published2020
Admission routes2
Has abstractyes

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