Effects of high hydrostatic pressure on folate and isoflavone contents, bioaccessibility, and physicochemical properties of soybean powder
Bibliographic record
Abstract
High hydrostatic pressure (HHP) can be applied to regulate the content, bioaccessibility, and mutual transformation of bioactive substances in food. The present study applied HHP of 100–500 MPa to treat soybeans and found that 100 MPa can significantly increase folate content and bioaccessibility in soybeans. Compared with the control group, the content of total soybean isoflavone (SIF) increased by 15.57% and bioaccessibility by 25.69% at 300 MPa. Under 500 MPa treatment, the proportion of glycitein and genistein in total SIF increased by 16.04% and 23.06%, respectively, and that of glycitin and genistin decreased by 5.3% and 24.09%, respectively. Furthermore, this study characterized the effects of different HHP conditions on soybean physicochemical properties via scanning electron microscopy, particle size distribution analysis, Fourier-transform infrared spectroscopy, and rheological property assessment. HHP changed the hydrogen bonds in soybean protein. Smaller particle sizes were observed in all HHP-treated soybean powder (SP) groups. The viscosity of SP treated at 100–400 MPa decreased, and the shear thinning behavior was significant. This study provides a reference for regulating the release, transformation, and absorption of bioactive compounds in soybeans through HHP application. • 100 MPa increased soybean folate content and bioaccessibility by 15.97% and 7.28%. • 300 MPa increased the SIF content and bioaccessibility by 15.57% and 25.69%. • 500 MPa increased the conversion of β-glucoside to aglycone. • HHP made soy particles smaller and improved the bioaccessibility of folate/SIF.
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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".