A Study on the Antioxidant Properties and Stability of Ergothioneine from Culinary-Medicinal Mushrooms
Bibliographic record
Abstract
The naturally occurring amino acid ergothioneine (EGT) has excellent free radical scavenging ability, which was not different to ascorbic acid. The IC50 values for EGT scavenging hydrogen peroxide, hydroxyl radicals, and superoxide anions were 11.65 ± 0.31, 70.31 ± 1.59, and 160.44 ± 0.32 μg/mL, respectively. The EGT concentration in different species of mushrooms was significantly different (p < 0.05), but it was not significantly related to the ability of the mushrooms to scavenge reactive oxygen species (p > 0.05). After isolating EGT from mushrooms, we demonstrated that the antioxidant ability of EGT accounts for about 25% of the total antioxidant ability of the extract. We studied the stability of EGT and found that it has excellent light, thermal, and acid-base stability. However, the presence of Cu2+ decreased the concentration of EGT. Unlike EGT, the thermal stability of the EGT extracted from Pleurotus citrinopileatus (PEGT) was not as good as EGT, while long-term high-temperature heating caused a decrease in the concentration of PEGT. The results of our study provide a basis for further investigating EGT from mushrooms for research and development.
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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 | 0.000 | 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".