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Record W7135814517

The antioxidant activity of St. John's wort explantate cultures

2017· dissertation· cs· W7135814517 on OpenAlexaboutno aff
Rudolf Vrabec

Bibliographic record

VenueDigital Repository (National Repository of Grey Literature) · 2017
Typedissertation
Languagecs
FieldAgricultural and Biological Sciences
TopicNatural Compound Pharmacology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHyperosideAntioxidantHypericinHypericum perforatumEC50QuercetinFlavonoidBiological activity
DOInot available

Abstract

fetched live from OpenAlex

St. John's wort is a herbal medicine well known for its anti-depressant effect. It contains anthraquinone derivates, prenylated floroglucinols, tannins, hydroxycinnamic acids, and especially flavonoids, which have a wide range of biological effects on the body including antioxidant properties. Antioxidants are one of the possibilities to protect body from harmful influences of free radicals - highly reactive particles that damage biological structures. In this work, two methods (DPPH and superoxide radical) were used to determinate antioxidant activity of methanolic and aqueous extracts of dried St. John's wort - Hypericum Perforatum L. and its callus and suspension explant cultures. The results are processed into tables and graphs which compare the effectiveness of extracts to quench the radicals. EC50 for the methanolic extract was 0,064 mg/ml and for the aqueous extract 0,068 mg/ml. EC50 for the aqueous extract was 16,727 mg/ml, but unfortunatelly the other antioxidant activity values for EC50 were too low to evaluate. Determination of the content of flavonoids hyperoside and quercetin by high performance liquid chromatography shows that their highest content is in the drug extracts and that the explant cultures have negligible content of the flavonoids. There is no content of hypericin in all...

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication
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 score0.691
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0020.002
Open science0.0020.000
Research integrity0.0010.001
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 head0.015
GPT teacher head0.283
Teacher spread0.268 · 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.

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

Citations0
Published2017
Admission routes1
Has abstractyes

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