Effect of high-pressure homogenization on soy hulls and okara with or without soy hulls: Characterization and functionalities
Bibliographic record
Abstract
The production of soy milk and tofu may or may not involve a hulling step, generating two distinct by-products: okara from dehulled soybeans (okara㊀SH) and non-dehulled soybeans (okara㊉SH), which retain soy hulls (SH). The main objective of this study was to investigate the compositional and functional differences between these by-products and the effects of high-pressure homogenization (HPH) on their physicochemical, structural, and functional properties. Okara㊀SH, okara㊉SH, and SH were analyzed before and after HPH (1000 bar, 1 pass). Results showed that SH significantly impacted okara㊉SH composition, reducing protein content by 9 % (20.73 ± 0.02 %) while increasing cellulose by 46 % (15.44 ± 1.41 %) compared to okara㊀SH (22.61 ± 0.39 % protein, 9.88 ± 0.09 % cellulose). SH also influenced functional properties, lowering swelling capacity by 46 % (7.02 ± 0.69 to 3.80 ± 0.47 mL/g) and glucose adsorption capacity by 34 % (2.40 ± 0.18 to 1.58 ± 0.07 mmol/g) in okara㊉SH. HPH was beneficial for all samples; however, a positive effect of SH was observed for certain properties, such as oil-holding capacity (OHC). HPH significantly improved OHC, with increases of 467 % in SH (from 2.20 ± 0.02 g/g to 12.47 ± 0.68 g/g), 435 % in okara㊉SH (from 2.50 ± 0.05 g/g to 13.38 ± 0.51 g/g), and 425 % in okara㊀SH (from 2.78 ± 0.02 g/g to 14.60 ± 0.40 g/g). Moreover, water-holding capacity and solubility also improved post-HPH, suggesting enhanced application potential. Structural analysis confirmed HPH-induced modifications, including particle size reduction and matrix disintegration. These findings highlight HPH as a promising method for improving the functionality of soy by-products, particularly for food applications requiring enhanced water and oil retention properties. • High-pressure homogenization improved okara's functional properties. • Soy hulls reduced protein but increased cellulose in non-dehulled okara. • Oil-holding capacity improved significantly after homogenization. • Swelling and glucose adsorption decreased in non-dehulled okara. • Homogenization altered okara's structure, enhancing its potential applications.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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) | 0.001 | 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".