Storage Time: Influence of Nano-ZnO and Soft-Sterilization on Biophysical and Quality Attributes of Canned Cowpea (Vigna unguiculata, TN 5-78)
Bibliographic record
Abstract
<p>Cowpea seeds can be cooked in the dried form, sprouted, or ground into flour. This study is to investigate effect of soft-sterilization and nano-ZnO treatment on canned cowpea (TN 5-78) biophysical and quality attributes during 10 months of storage. Cowpea was blanched, ultrasonicated with nano-ZnO solution 0.025% (w/v) added prior to canning at 110 ºC for 15 min and analyzed every 2 months up to 10 month at ambient storage. Total mold and yeast count were below the limits of detection for nano-ZnO treated samples and control over the storage period though, some colonies of mesophilic bacteria were observed in the untreated samples at the 8th and 10th month of storage. There are significant differences (P &lt; 0.05) between the treated samples and untreated one at the 10th month of storage for the pea’s firmness. No significant differences was noticed between the samples from the initial analysis to the end of storage time for the leached solids percentage (P &lt; 0.05). Moreover, slight change in protein content and pH values were also found. The overall acceptability score of nano-ZnO treated samples remained in a good range up to 10<sup>th</sup> month of storage whereas, untreated samples was under acceptation level. Therefore, ZnO nanoparticules combined with heat can be a possible alternative approach to can foods that the quality attributes are altered by conventional thermal sterilization.</p><!--[endif] -->
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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 | 0.001 |
| 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".