Study of the Volatile Compounds and Amino Acid Profile in Bacillus Fermented Castor Oil Bean Condiment
Bibliographic record
Abstract
<em>Bacillus subtilis</em> was used as a monoculture starter for the production of three different fermented castor oil bean condiments: B<sub>1</sub><sub> </sub>( 0% NaCl/Lime), B<sub>2</sub> (2% NaCl), B<sub>3</sub> (3% Lime). The volatile components of the three samples were determined using Gas –Chromatography / Mass Spectrometry (GC-MS) while High Performance Liquid Chromatography (HPLC) was used in the study of the amino acid contents. A total of seventeen volatile constituents were identified in the fermented castor oil bean samples using GC-MS. The compounds identified were of various types: acids, esters, alcohols, furans, ketones and others. However, acids were found to be the dominant constituent group followed by esters. Results from the amino acid analysis shows the three fermented castor oil bean samples contained sufficient amount of amino acids. The essential amino acids were in the range of 42.22 – 54.17% for EAA<sub>7</sub> and 63.76 – 73.82% for EAA<sub>10</sub> of total Free Amino Acids with the most abundant being tryptophan, isoleucine and phenyalanine. Bitter taste was observed as the predominant taste followed by sweet taste and tasteless amino acids. MSG-like taste was slight with B<sub>1</sub>:1.624 µg/ml, B<sub>2</sub>: 1.069 µg/ml and B<sub>3</sub>: 0.881 µg/ml. It is suggested that the desirable taste of <em>ogiri</em> from castor oil bean is formed by interactions between the amino acid and volatile components analyzed in this study.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".