Evaluation of <i>Vicia faba</i> plant genotypes using non-destructive vibrational molecular spectroscopic technique (ATR-FT/IR): molecular structure profiles of protein in relation to nutritional characteristics
Bibliographic record
Abstract
This study aimed to evaluate the impact of genotypes and tannin levels on the nutritional characteristics of faba bean seeds and their relation to protein molecular structure profiles using Fourier transform infrared spectroscopy (FTIR). Eight genotypes with low tannin (LT, n = 3) and normal tannin (NT, n = 5) levels were studied. Standard methods of analysis and NRC 2001 were used to obtain chemical and energy parameters. The protein molecular spectral study was performed using a spectrometer JASCO FT/IR–4200. Molecular features were analyzed in the mid-infrared region at ~4000–800 cm −1 and protein-related functional groups were obtained using OMNIC software. Results showed higher ( P < 0.01) soluble crude protein (SCP), rapidly degradable protein fraction (PA2), and intestinal digestibility of bypass protein (dIDP) in LT than NT. The slowly degradable protein fraction (PB2) was higher in NT ( P < 0.01) compared to LT. Higher absorbance was observed in spectral peaks related to amide I, amide II, and β-sheet in NT ( P < 0.05) compared to LT. The area ratio of amide I to amide II and the height ratio of α-helix to β-sheet were higher in LT compared to NT ( P < 0.01). This study provides a better understanding of associations between structure and nutritional characteristics in faba bean genotypes with different tannin levels.
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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 | 0.000 |
| 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".