Tuned biodegradation using poly(hydroxybutyrate-co-valerate) nanobiohybrids: Emerging biomaterials for tissue engineering and drug delivery
Bibliographic record
Abstract
Our studies focus on controlled and tuned biodegradation, mechanism of biodegradation, biocompatibility, genotoxicity and controlled and sustained drug release performance of poly(hydroxybutyrate-co-valerate) nanohybrids. Nanohybrids were prepared using layered silicates with two different surface modifiers through a solution route. Biodegradation has been investigated in compost, microorganisms (pseudomonas stutzeri) and pure enzymes, showing both enhanced and suppressed rates as compared to that of the pure polymer. Two nanoclays that increased the strong filler dependency phenomena were used to control the biodegradation rate. Complete biodegradation mechanism has been revealed, which indicates that the pH of the medium dictates the rate of biodegradation by activating the enzyme responsible for degradation. Biodegradation has also been controlled by optimizing the processing conditions of the specimens. Biocompatibility of the nanohybrids has been tested at the intra-cellular level by sub-cellular localization of HIPK2 protein, in addition to the typical cell adherence on the nanohybrid films demonstrating that there is no induced genotoxic stress either from the polymer or from the nanoparticles. Biocompatible nanohybrids have been used for drug delivery, showing sustained and controlled release of drugs in presence of nanoparticles. Hence, the developed nanohybrids illustrate potential biomaterials for tissue engineering and drug delivery.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 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".