Effect of Nut Treatments on Shea Butter Physicochemical Criteria and Wrapper Hygienic Quality Influence on Microbiological Properties
Bibliographic record
Abstract
<p>The increasing importance of traditional shea butter led to standards criteria establishment. Nevertheless, criteria are difficultly achieved because traditional processes are generally uncontrolled. In this study, optimal processing conditions in order to get shea butter in conformity with standard were determined. Hence, the drying duration and mode, the kernel quality and roasting time were varied. The wrapper hygienic quality effect was also considered. Resulting shea butters of each variation was analyzed and the ANOVA test performed on characteristics to evaluate variations effects. The peroxide index increased continuously (2.79 ± 0.05 to 10.30 ± 0.05 mEg O<sub>2</sub>/kg) from the first week to the fourth sun drying week, while unsapnifiable matter decreased (17.60 ± 0.05 to 1.55 ± 0.05%). Both peroxide and acid index were higher after five minutes of roasting than they were before; and shea butter conserved in sterile wrapper was germs free, compared to other wrappers. Moreover, the process taking into account all these optimal conditions conduced to shea butter with moisture (0.15%), acid (11.94 mg KOH/g), peroxide (2.79 ± 0.05 mEg O<sub>2</sub>/kg), saponifiable (196.10 ± 0.15 mg KOH/g), refractive (1.465 ± 0.005) index and melting point (35.0 ± 0.1 °C) conforming to international standard. Moreover, it was heavy metal and germs free, and its unsapnifiable content (17.61 ± 0.25%) was high.</p>
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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 | 0.000 |
| 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".