Interaction of high pressure-stressed soy protein isolate and 5-methyltetrahydrofolate and its impact on the stability of 5-methyltetrahydrofolate
Bibliographic record
Abstract
5-Methyltetrahydrofolate (5-MTHF) is considered as a safer fortifier than folic acid (FA), but still unstable and less bioavailable. To investigated the soy protein isolate (SPI) or high hydrostatic pressure (HHP) treated SPI on the thermal stability of 5-MTHF and interaction of protein with 5-MTHF, the thermal stability of 5-MTHF in SPI-5MTHF complexes and HHP treated SPI-5MTHF complex was firstly investigated, and then revealed the effect of HHP on the structure and micromorphology of SPI by circular dichroism spectroscopy, free sulfhydryl content and scanning electron microscopy. Finally, the effect of HHP on the ability of the SPI to bind to 5-MTHF was also investigated by fluorescence spectrometry and isothermal titration. The results showed that the SPI-5MTHF complex was more thermally stable than free 5-MTHF in the thermal environment, and the retention of 5-MTHF was increased by about 306-fold. HHP also improved 5-MTHF stability in the HPP-SPI-5MTHF complex, with the highest retention of 5-MTHF of 104.77 ± 0.22 % at 300MPa. HHP increased apparent binding constants (4.83–26.78-fold) and binding sites (9.22 %–15.60 %) of SPI with 5-MTHF at pressures of 100–300 MPa. The interaction between SPI and 5-MTHF is a spontaneous exothermic reaction driven by enthalpy change. 5-MTHF is mainly bound to SPI by van der Waals forces and hydrogen bonding to form a complex. This study lays the foundation for further application of SPI or HHP-SPI as an encapsulation material to improve the stability and bioaccessibility of 5-MTHF. • SPI improved thermal stability of 5 MTHF • 100–300 MPa improved the interaction of SPI with 5 MTHF • The quenching effect of 5 MTHF on SPI was static quenching. • Low-pressure increased the binding constant and sites of 5 MTHF and SPI. • The interaction of SPI-5MTHF was van der Waals forces and hydrogen bonds.
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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 | 0.006 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".