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 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) | 0.000 | 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 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".