Sodium Chloride Suppresses the Bitterness of Protein Hydrolysates by Decreasing Hydrophobic Interactions
Bibliographic record
Abstract
The formation of bitter off-flavor is a long-existing issue during food protein hydrolysis. The aim of this study is to determine the mechanism of sodium chloride (NaCl) suppressing the bitterness of protein hydrolysates. In this study, the bitterness of egg white hydrolysate (EWH) and hen meat hydrolysate (HPH) was determined using an electronic tongue. The results showed that the bitterness intensity of quinine hydrochloride, EWH, and HPH was suppressed significantly by NaCl in a concentration-dependent manner (P < 0.05). The particle sizes, turbidity, zeta potentials, and surface hydrophobicity of EWH and HPH were also significantly decreased by NaCl at concentrations of 0.05, 0.1, 0.3, and 0.5 M (P < 0.05). These results indicated that adding NaCl at certain concentrations led to a salting-in effect, burying hydrophobic groups and decreasing the surface hydrophobicity of peptides, resulting in the decrease of bitterness. Using NaCl is an alternative, effective, and cheap strategy to suppress protein hydrolysate bitterness by decreasing hydrophobic interactions in food industry. PRACTICAL APPLICATION: NaCl can be used as an effective bitterness masker for food protein hydrolysates by decreasing hydrophobic interactions of peptides.
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".