Molecular characterization of a new strain of <i>Aspergillus</i> and ricinoleic acid production from castor oil by the fungus
Bibliographic record
Abstract
Abstract The derivatives of castor oil have wide industrial applications. Different strains were isolated that metabolize the castor oil. Among these, Isolate D which was later identified as Aspergillus flavus BU22S was selected for further study. Major metabolite produced by the strain was extracted and identified using mass spectrometry (MS) followed by HPLC analysis. The metabolite was found to be ricinoleic acid. Ricinoleic acid is widely used in polymer industries, cosmetics, pharmaceutical industries, lubricants, and in textiles. The product yield of the selected isolate was studied with different castor oil concentrations under different process conditions. Agitation speed as well as oil concentration were found to have a significant effect on ricinoleic acid production. The best yield, that is, 79.5 g/kg of total oil was obtained at a lower agitation speed. The strain consumed some amount of oil, which can be reduced from 90% to 29% by optimizing the process parameters.
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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) | 0.000 | 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 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".