Comparative study on starch and protein secondary structures in brown, red, and black rice influenced by microwave treatment
Bibliographic record
Abstract
This study compares the effects of microwave treatment (up to 220 s) on the starch and protein structures in brown, red, and black rice flours with 12 % initial moisture, representing typical low-moisture conditions. FTIR and XRD analyses revealed increased starch crystallinity, with brown rice showing the highest increase (9.71 %), followed by red (9.15 %) and black rice (4.40 %). A-type crystallinity rose in all rice types, while V-type decreased, suggesting disruption of amylose-lipid complexes. AFM and SEM confirmed partial starch granule disruption and reorganization into more compact structures. Protein analysis showed decreased β-sheet content, increased α-helix and β-turn structures, reduced hydrophobicity (by 10.06 %–51.65 %), and increased disulfide bonds, particularly in black rice (82.96 %), indicating enhanced molecular stability. These changes suggest potential improvements in texture, thermal stability, and possibly a reduced glycemic response, warranting further investigation of functional and digestibility properties. • Microwave treatment of pigmented rice with low moisture rises starch crystallinity. • Microwave treatment increases the A-type starch crystallinity in pigmented rice. • Polyphenols in pigmented rice promote A-type and reduce V-type crystallinity. • Microwave treatment enhances the ordered protein structure in rice flours. • Brown rice is the most sensitive to microwave while black rice is the most stable.
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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".