Acid Hydrolyzed Pearl Millet Starch Nanoparticles: Synthesis and Characterization
Bibliographic record
Abstract
Abstract The amylose content in native starch is reduced through hydrolysis, impacting its physicochemical properties. Starch nanoparticles exhibit enhanced water and oil absorption capacities, attributed to increased hydrolysis and subsequently higher solubility. Moreover, the swelling power of starch nanoparticles is notably higher, indicating improved functionality. Pasting properties are altered, with reduced peak viscosity, breakdown viscosity, and setback viscosity in modified starches. Dynamic light scattering reveals a significant reduction in particle size for starch nanoparticles compared to native starch. Morphological analysis using field emission‐scanning electron microscopy (FE‐SEM) highlights distinct granule shapes and surfaces between the two starch types. The X‐ray diffraction patterns confirm an A‐type crystalline structure in both native and modified starches. Fourier transform infrared (FTIR) spectroscopy verifies no significant difference in functional groups due to extraction or hydrolysis methods. This comprehensive investigation provides valuable insights into the chemical modification of pearl millet starch, shedding light on its potential applications in various industries, including food and pharmaceuticals.
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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".