Efficient bioconversion of palm acid oil and palm kernel acid oil to poly(3-hydroxybutyrate) by <i>Cupriavidus necator</i>
Bibliographic record
Abstract
Efficient bioconversion of palm oil by-products to green materials serves as a prominent way to overcome wastage. Generally, major palm oil by-products such as palm acid oil (PAO) and palm kernel acid oil (PKAO) are used for animal feed. This pioneer study investigated the ability of Cupriavidus necator H16 (ATCC 17699) (formerly Ralstonia eutropha) to biologically convert these by-products to poly(3-hydroxybutyrate) [P(3HB)]. P(3HB) was synthesized when PAO or PKAO was fed as the sole carbon source. However, it was found that PKAO is superior with respect to higher amount of P(3HB) accumulation in 48 h (85 wt% of the dry cell mass). In addition, important culture parameters were identified, such as nitrogen sources and ratio of culture volume to flask volume, which significantly affected the P(3HB) content. The nitrogen concentration in the culture medium is very crucial in promoting the biosynthesis of P(3HB). The highest P(3HB) yield (3.1 g/L) was initiated at 4 mmol/L of urea. Less than 0.4 g/L of P(3HB) was obtained when 30.0 mmol/L or higher urea concentrations were used. This study has identified a suitable process to produce high P(3HB) yield from major palm oil by-products. It is also demonstrated that C. necator H16 has suitable metabolic pathways that allow the conversion of palm oil by-products to P(3HB) effectively. Hereby, surplus palm oil by-products can be converted to a relatively high-value and sustainable product.Key words: poly(3-hydroxybutyrate), palm oil, palm acid oil, palm kernel acid oil, Cupriavidus necator.
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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) | 0.001 | 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".