Effect of an Anionic Lipid on the Barotropic Behavior of a Ternary Bicellar Mixture
Bibliographic record
Abstract
Dispersions of lipid mixtures comprising long- and short-chain phospholipids (bicellar mixtures) can form small isotropically reorienting particles (bilayered micelles), magnetically orientable stuctures, or unorientable lamellar structures. Application of hydrostatic pressure can also induce interdigitation of the long-chain lipid components. In this work, variable-pressure 2 H NMR was used to study the effect of head group charge on the barotropic behavior of bicellar mixtures. Observations at pressures up to 152 MPa and temperatures up to 64 °C were combined with earlier observations at lower pressure and lower temperature to obtain a pressure–temperature phase diagram for DMPC- d 54 /DMPG/DHPC (3:1:1). In this phase diagram, a region corresponding to small, isotropically reorienting particles at lower temperature and higher pressure is separated from a region corresponding to unorientable lamellar organization, at higher temperature and lower pressure, by a band in which the magnetically orientable phase is stable below ∼100 MPa and in which an interdigitated gel phase is stable above ∼120 MPa. From ∼46 to ∼52 °C, the dispersion transforms directly from the unorientable lamellar to isotropically reorienting particle phases upon isothermal pressurization. The extent to which this behavior reflects the presence of anionic lipid in the long-chain fraction of this mixture is illustrated by comparison with spectral series obtained during isothermal pressurization of DMPC- d 54 /DHPC (4:1) and DMPC- d 54 /DMPG/DHPC (2.7:1.3:1) at selected temperatures. These observations show how electrostatic interactions at a bilayer surface can affect the balance between hydrophobic and hydrophilic interactions that is reflected by a dispersion’s barotropic phase behavior.
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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) | 0.001 | 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".