Polyhydroxyalkanoates Production from Ralstonia Pickettii Bacteria: Structural and Mechanical Studies
Bibliographic record
Abstract
Bacterial Polyhydroxyalkanoates (PHAs) are a remarkably versatile category of biodegradable polymers with a variety of applications in the packaging, agricultural, biomedical, and pharmaceutical fields. In the present study, bacterial PHAs films are characterized by Fourier transform infrared (FTIR), Scanning electron microscope (SEM), Gas chromatography-mass spectroscopy (GC-MS), Differential scanning calorimetry (DSC), and Universal testing machine (UTM). It was found that almost 20% (w/w) of PHAs was produced from Ralstonia pickettii, and the five major types of the produced polymer were validated via FTIR analysis, i.e., 1046-1185 cm-1 (C-O stretching), 1723 cm-1 (C=O stretching), 2974-2926 cm-1 (CH3 and CH2 stretching) and 3450 cm-1 (OH stretching). The GC-MS chromatogram generated two main peaks, i.e., 2-butenoic acid methyl ester and 4-hexenoic acid methyl ester, at retention times of 4.62 min and 5.79 min, respectively. The main compounds of 2-butenoic acid methyl ester and 4-hexenoic acid methyl ester had percentage areas of 28% and 43%, respectively. Based GCMS analysis shows two monomer PHAs ie. 2-butenoic acid methyl ester and 4-hexenoic acid methyl ester, correspondingly. The blending of PHAs R. pickettii and PEG-400 positively decreases thermal properties and tensile strength and increases elongation at break.
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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".