Recovery of Medium-Chain-Length Poly(3-Hydroxyalkanoates) from <i>Pseudomonas putida</i> KT2440 by NaOH Digestion
Bibliographic record
Abstract
A method for the recovery of medium-chain-length polyhydroxyalkanoate (MCL-PHA) from Pseudomonas putida KT2440 was developed using NaOH digestion. PHA purity was affected by several factors, including NaOH concentration, temperature, digestion time, and number of treatment cycles. PHA purity of about 85% was attained after 70 g/L biomass containing 66% PHA was treated with 0.2 N NaOH at 22°C±1°C for 2 h or with 0.1 N at 80°C for 15 min. However, sequential treatment of 0.2 N NaOH at 22°C±1°C for 2 h followed by 0.1 N NaOH at 80°C±1°C for 15 min produced PHA with a higher purity of 94.7% and a recovery efficiency of 88%. Under these conditions, digestion had a negligible effect on PHA molecular weight. Further treatment with lysozyme gave a purity of 98.6%. This is the first study to demonstrate that MCL-PHA of lower density and crystallinity than other classes of PHAs can be effectively recovered by alkaline digestion. This method is a greener alternative and lower safety risk than current industrial-scale solvent recovery processes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".