Anomalous hydration of glycolipid ohmline revealed by surface-specific vibrational spectroscopy
Bibliographic record
Abstract
Glycolipids are key structural and functional components of biological membranes, yet their interfacial hydration behavior remains poorly understood. Here, we use vibrational heterodyne-detected sum-frequency generation (HD-SFG) spectroscopy to probe the molecular structure of the air-water interface formed by monolayers of ohmline, a glycolipid bearing a lactose headgroup and carrying no formal charge. Upon electrolyte addition, we observe a striking reorientation of interfacial water and a reversal of the HD-SFG signal, indicative of apparent surface charging by an otherwise neutral headgroup. This charge-like behavior stems from ion-specific interactions: cations exhibit strong affinity for the glycolipid interface, while anion effects are comparatively weak. Quantitative analysis reveals that approximately one cation is trapped per ∼16 ohmline molecules. These results uncover an unconventional hydration mechanism for glycolipids, distinguishing them from classical phospholipids and shedding light on salt-modulated self-assembly processes such as the reversible formation of lipid nanotubes (LNTs). Our findings establish a framework for understanding ion-mediated phenomena in glycolipid-rich interfacial systems, with implications for membrane biophysics and soft materials design.
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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) | 0.000 | 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".