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A Study on the Antioxidant Properties and Stability of Ergothioneine from Culinary-Medicinal Mushrooms

2020· article· en· W3011846530 on OpenAlexaff
Xinqi Liu, Yiwen Huang, Jinyan Wang, Shuai Zhou, Yili Wang, Mengting Cai, Ling Yu, Qingjiu Tang

Bibliographic record

VenueInternational journal of medicinal mushrooms · 2020
Typearticle
Languageen
FieldMedicine
TopicFungal Biology and Applications
Canadian institutionsMinistry of Agriculture
Fundersnot available
KeywordsErgothioneineAntioxidantChemistryHydrogen peroxideAscorbic acidRadicalFood scienceReactive oxygen speciesMushroomBiochemistry

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.609
Threshold uncertainty score0.383

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.089
GPT teacher head0.308
Teacher spread0.220 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations31
Published2020
Admission routes1
Has abstractyes

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