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Record W2504602336 · doi:10.1002/ejlt.201600248

A short synthesis of siloxane phosphocholines

2016· article· en· W2504602336 on OpenAlexaff
Mark B. Frampton, Paul M. Zelisko

Bibliographic record

VenueEuropean Journal of Lipid Science and Technology · 2016
Typearticle
Languageen
FieldChemistry
TopicMass Spectrometry Techniques and Applications
Canadian institutionsBrock University
Fundersnot available
KeywordsSiloxanePOPCChemistryPhospholipidPhosphocholineOrganic chemistryNanotechnologyMaterials sciencePhosphatidylcholineBiochemistryPolymer

Abstract

fetched live from OpenAlex

Herein, we report our first generation synthesis of two new silicon‐containing phosphocholines (SiPCs) in which the fatty acid chains are terminated by trisiloxane units. We have been exploring the limits to which immobilized lipases can be used in the field of organosilicon chemistry, and the cornerstone of this work is a chemoenzymatic approach to synthesizing SiPCs that are structurally analogous to naturally occurring species such as 1‐palmitoyl‐2‐oleoyl‐sn‐glycero‐3‐phosphocholine (POPC). Practical applications: This research focuses on the chemoenzymatic synthesis of siloxane‐containing phospholipid systems. These compounds have different surface properties than the comparable biologically relevant phospholipids opening the doors for the potential application of these siloxane‐containing species as encapsulation/delivery vehicles and as a means of modifying surfaces. Surface pressure‐molecular area isotherms for siloxane‐phospholipids.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.008
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.004

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 head0.011
GPT teacher head0.244
Teacher spread0.232 · 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 source (direct Gemma or distilled Codex), 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

Citations8
Published2016
Admission routes1
Has abstractyes

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