Lipid Stability of Soybeans in Grains and Soybeans Processed as Tofu
Bibliographic record
Abstract
Soybeans (Glycine max (L.) Merrill) contain bioactive substances. They are a functional, important food associated with reduced risks of chronic and degenerative diseases. This study assesses lipid stability and antioxidant in soy grains and processed soy tofu. The two soybean brands differed in antioxidant activity and total phenolic compounds, which ranged from 188.4 mg EAG.100g-1 and 3.17 to 1.56 umol of ferrous sulfate g-1. Both tofu samples only showed differences in total phenolic compounds, which ranged from 9.6 to 18.3 mg EAG.100g-1. Analysis of DPPH free radicals has not shown significant differences (P < 0.05) amongst analyzed soybean in grain and tofu brands; yet, we could identify antioxidant activities with an inhibition level above 50%. There was no significant difference among total lipid contents of the tested brands. Polyunsaturated and monounsaturated fatty acids found to be denser in soy and tofu samples were: linoleic, linolenic and oleic acid. The n-6/n-3 ratio values were satisfactory for soy and tofu. Thus, both soybean and tofu display significant antioxidant effects and are sources of polyunsaturated fatty acids.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".