Characterization of Phytic acid in Tempered Canned Red kidney beans (Phaseolus vulgaris) using Raman Spectroscopy
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Rapid and non-invasive analytical method for quality control is a priority for the food industry, hence the objective of this study is to use Raman spectroscopy (RS) to identify phytic acid in RKB. Phytic Acid was extracted from treated ground dry RKB, while standard concentration of PA was prepared from a PA solution 50% w/w. Extracted samples and standard solutions were analyzed using the RS. The laser light beams focused on the PA samples generated molecular bond vibrations which resulted to inelastic scattering of photons in the light beam. The result showed that P-O-C, and P=O which are bonds identified with PA emitted light intensities at wavelength 858.13, and 1198.04 nm, respectively. Correlation (0.93) was established between results obtained for the standard RAMAN spectroscopy method and UV spectrophotometric method. Canned BL treatments showed increased concentration with blanched samples with lowest concentration (0.1175 g/mL) for P-O-C. Thus, the correlation established is indicative that the RS has potential applications in the food industry.
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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 | 0.000 |
| 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 it