Antifreeze proteins as gas hydrate inhibitors
Bibliographic record
Abstract
Certain organisms survive low temperatures using a range of physiological changes including the production of antifreeze proteins (AFPs), which have evolved to adsorb to ice crystals. Several of these proteins have been purified and shown to also inhibit the crystallization of clathrate hydrates. They have been found to be effective against structure II (sII) hydrates formed from the liquid tetrahydrofuran, sI and sII gas hydrates formed from single gases, as well as sII natural gas hydrates using a mixture of three gases, as assessed using a variety of instrumentation including stirred reactors, differential scanning calorimetry, nuclear magnetic resonance, Raman spectroscopy, and X-ray powder diffraction. For the most part, AFPs are equal to or more effective than the commercial kinetic hydrate inhibitor (KHI) polyvinylpyrolidone, even under field conditions where saline and liquid hydrocarbons are present. Enclathrated gas analysis has revealed that the adsorption of AFPs to the hydrate surface is distinct from tested commercial KHIs and results in properties that should make these proteins more valuable in some field applications. Efforts to overcome the difficulties of recombinant protein production are ongoing, but in silico models of AFP adsorption to hydrates may offer the opportunity to design commercial KHIs for hydrocarbon recovery and transport with all the attributes of these AFP ”green inhibitors”, including their benefits for human and environmental safety.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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) | 0.003 | 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 teacher head, 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".