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Record W3206052234 · doi:10.1002/bkcs.12419

Protective effects of 3,4',5,7‐tetrahydroxyflavone against squalene monohydroperoxide‐induced skin wrinkles and its green extraction using deep eutectic solvents

2021· article· en· W3206052234 on OpenAlexfundno aff
Jong Woo Lee, Byung‐Young Kang, Junseong Park

Bibliographic record

VenueBulletin of the Korean Chemical Society · 2021
Typearticle
Languageen
FieldMedicine
TopicSkin Protection and Aging
Canadian institutionsnot available
FundersNational Research Foundation of KoreaMinistry of Environment - Saskatchewan
KeywordsSqualeneChemistryExtraction (chemistry)Stratum corneumHydrolysateAntioxidantLipid peroxidationEutectic systemBiochemistryNuclear chemistryOrganic chemistryBiologyHydrolysis

Abstract

fetched live from OpenAlex

Abstract Three flavone derivatives, 3,4′,5,7‐tetrahydroxyflavone (3,4′,5,7‐THF) and their glycosides 3,4′,5,7‐tetrahydroxyflavone‐3‐rhamnoglucoside, and 3,4′,5,7‐tetrahydroxyflavone‐3‐glucoside, were identified by partial enzymatic conversion of Camellia sinensis seed extract (CSSE). 2,2‐Diphenyl‐1‐picrylhydrazyl radical scavenging activity of these compounds and lipid peroxidation inhibition effects of 3.4′,5,7‐THF were tested to evaluate their antioxidant properties. To investigate the effects of 3,4′,5,7‐THF on squalene monohydroperoxide (SQLOOH)‐induced wrinkle formation, the dorsal skin of SKH1 hairless mice was used. Four weeks of treatment with 3,4′,5,7‐THF reduced wrinkle formation, in contrast to that observed in the group treated with SQLOOH only. A green and simple method has been suggested for the extraction of 3,4′,5,7‐THF from CSSE hydrolysate with nine deep eutectic solvents. A mixture of choline chloride and xylose yielded the best extraction result. These findings suggest that 3,4′,5,7‐THF is a natural compound with potential application in preventing SQLOOH associated skin aging.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.658

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.016
GPT teacher head0.258
Teacher spread0.242 · 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 designBench or experimental
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

Citations2
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueBulletin of the Korean Chemical SocietySame topicSkin Protection and AgingFrench-language works237,207