Activation of polyhydroxyalkanoates: functionalization and modification
Bibliographic record
Abstract
Polyhydroxyalkanoates (PHAs) serve numerous bacteria as storage compounds. It is generally believed that under unbalanced growth conditions, n-hydroxyalkanoates are synthesized inside the bacterial cells, polymerized to polyesters, and densely packed in granules. In the absence of extracellular carbon, the internally stored PHAs are depolymerized and consequently metabolized to enable cell maintenance and reproduction. However, some bacteria exhibit growth associated production and degradation of PHAs as part of the cell sustainment. This natural production and degradation cycle indicates that PHAs possess biodegradability and may have biocompatibility properties. Since the discovery that some bacteria can incorporate 3-hydroxyalkanoates bearing functional groups from related substrates, research has led to structural diversification of PHAs by biosynthesis and chemical modifications. A commonly applied route for tailoring PHAs is their in situ functionalization by biosynthetically producing side chains with terminal double bonds followed by chemistry. Non-functionalized PHAs can also be activated by surface modification techniques. The resulting tailor-made structural and material properties have positioned polyhydroxyalkanoates well to contribute to the manufacturing of second and third generation biomaterials.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".