Extraction and Chemical Composition of Seed Kernel Oil from <em>Irvingia smithii</em> of Congo Basin
Bibliographic record
Abstract
This study is part of a wider program on the development of oilseeds in the Congo Basin and its aim was to contribute to the knowledge of <em>Irvingia smithii</em> kernel by studying his chemical composition following the example of those of <em>Irvingia gabonensis</em> and <em>Irvingia wombulu</em>. <em>Irvingia smithii</em> kernel, like those of <em>Irvingia gabonensis</em> and <em>Irvingia wombulu</em> is multipurpose, however, less known than the latter. The assessment of oilseeds of the kernel of <em>Irvingia smithii</em> showed that it is oleaginous with fat contents of about 55%. The fatty acid profile established by gas chromatography showed that the lauric acid content is higher than that of myristic acid (% C12: 0>% C14: 0) and both have a percentage of the total fatty acid content of nearly 90%. Palmitic acid (C16: 0), the third major constituent has nearly 5%. Oleic (C18: 1) and capric (C10: 0) acids have significant levels and palmitoleic (C16: 1) and stearic (C18: 0) acids are to trace. Triacylglycerol profile established by liquid chromatography coupled to the Evaporative Light Scattering Detector (ELSD) has three major TAG (% LaLaM >% LAMM >% LaLaLa), one minor TAG (MMM) and two TAG to trace (CLaLa and MMP). Fats of <em>Irvingia smithii</em> studied have levels of unsaponifiables ranging from 1.25 to 2.97% with the major components such as beta-sitosterol (36%) and stigmasterol (18%). For macronutrients, the most abundant element is Magnesium While the Iron is the least abundant with the following decreasing profile: Mg>P>Ca>Fe. Spectrometric assessment of color led to the remarkable presence of the peaks relating to the absorption of carotenoids and chlorophyll pigments located between 630 and 670 nm.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".