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Record W2156260398 · doi:10.5539/ijb.v2n2p17

Antioxidant Activity of Moutan Cortex Extracts by Multiple-Stage Extraction

2010· article· en· W2156260398 on OpenAlexvenueno aff
Guoqing Xing, Zhenya Zhang, Jiqiang Liu, Peijuan Zhang, Norío Sugiura

Bibliographic record

VenueInternational Journal of Biology · 2010
Typearticle
Languageen
FieldMedicine
TopicTraditional Chinese Medicine Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsPaeonolPaeonia suffruticosaChemistryDPPHAntioxidantPolysaccharideBark (sound)Traditional medicinePolyphenolGlycosideSteam distillationDistilled waterFood scienceChromatographyBiochemistryDistillationOrganic chemistryBiology

Abstract

fetched live from OpenAlex

Moutan cortex, a widely used traditional Chinese medicine for the treatment of various diseases, is the root bark of Peaonia suffruticosa Andrews (Paeoniaceae). In this study, the crude polysaccharides (CPS), paeonol and the crude total glycosides (CTG) of moutan cortex were extracted by the multiple-stage extraction. CPS was extracted by water, paeonol was distilled by steam distillation method, and CTG was extracted with ethanol after above two stages. The antioxidant activity of the extracts was evaluated with superoxide dismutase (SOD) and DPPH (1, 1-diphenyl-2-picryhydrazyl) radical scavenging activity assays. Among the three extracts, CTG exhibited the strongest SOD-like activity (510 U/mg) and DPPH radical-scavenging activity (EC50, 14.4 ?g/ml), CPS had a weak SOD-like activity and DPPH radical-scavenging activity. Paeonol, however, was inactive. The different biological activities among the three extracts may be attributed to differences in their chemical composition, partially supported by polysaccharides, and polyphenolic contents.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.793
Threshold uncertainty score0.551

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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 head0.018
GPT teacher head0.339
Teacher spread0.321 · 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
Published2010
Admission routes1
Has abstractyes

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