Development of high-protein functional crackers enriched with adaptogenic compounds
Bibliographic record
Abstract
Consumers increasingly seek convenient, healthy snacks with innovative flavors and strong nutritional profiles. Traditional crackers are versatile but low in protein. Adding faba bean protein isolate offers a plant-based way to enhance protein content. Incorporating powdered roots from Rhodiola rosea (RR) and Eleutherococcus senticosus (ES) can further provide functional health benefits. This study aimed to develop high-protein crackers enriched with root powders and examined their impact on dough rheology, pasting properties, cracker texture, and bioactive compound stability after processing. RR and ES powders significantly reduced both G' and G'' moduli of the dough and increased apparent peak and final viscosity. Cracker hardness and distance to break decreased with root addition. Quantification of bioactive compounds confirmed that higher RR and ES levels led to increased salidroside, tyrosol, rosarin and eleutheroside E contents. These findings highlight the functional and structural advantages of incorporating Rhodiola rosea and Eleutherococcus senticosus into cracker formulations.
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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 | 0.000 |
| 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".