Temperature−Composition Diagram of Dimyristoylphosphatidylcholine−Dicaproylphosphatidylcholine “Bicelles” Self-Orienting in the Magnetic Field. A Solid State <sup>2</sup>H and <sup>31</sup>P NMR Study
Bibliographic record
Abstract
Mixtures of dimyristoylphosphatidylcholine (DMPC) and dicaproylphosphatidylcholine (DCPC) were investigated by solid-state 31 P and 2 H NMR. By variation of the mole fraction, X, of DMPC in DCPC, the temperature, and the water content, the conditions at which small discoidal particles, the so-called “bicelles”, self-orient in the magnetic field were determined. The bicellar region has an ellipsoidal shape and is delineated by compositions and temperatures ranging from X = 65−87% and T = 25−45 °C, at 80% hydration in the presence of 100 mM KCl. In the absence of salt, the bicelles still orient in the field but for a narrower range of composition ( X ≈ 72−87%). The degree of macroscopic orientation increases in the presence of salt. Reducing hydration to 40% increases the breadth of the bicelle domain. On the contrary, above 95% water content, bicelles are no longer detected by NMR. In the bicelle domain, water shows residual ordering which linearly increases with the decrease in water content. Analysis of the water behavior in terms of bound and free water suggests that water bound to bicelles has the same surface properties as in pure lipid membranes and that it promotes swelling. Perdeuteration of the DMPC lipid chains indicates a reduction in local ordering in the bicelle core, relative to pure lipid dispersions, for corresponding temperatures. As a consequence, the bilayer would be slightly thinner in the bicelle.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".