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Record W7033331852

Preparation of hypericin enriched St. John's wort extracts

2017· article· en· W7033331852 on OpenAlexaboutno aff

Bibliographic record

VenueElectronic Library of Belarusian State Technological University (Belarusian State Technological University) · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicNatural Compound Pharmacology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHypericinHypericum perforatumSorbentExtraction (chemistry)ElutionAbsorption (acoustics)Methanol
DOInot available

Abstract

fetched live from OpenAlex

Results of solid phase extraction (SPE) of St. John' s Wort extracts were described. In order to obtain the extract the air-dried plant material of Hypericum perforatum L. (cultivar Yantar) grown in the Central Botanical Garden of NAS of Belarus was used. Analysis of the St. John's wort extract solutions was carried out by electronic absorption spectroscopy. It was shown the influence of the nature of the solvent on the spectral characteristics of the ex tract. The sorbent Waters Sep-Pak S18®Vac RC was used for solid-phase extraction. The methanol solutions of different concentrations were used as an eluent system. For SPE metanol fractions absorption and fluorescence spectra were registered. It is shown that the main part of hypericin was eluted with 80% methanol. The values of quantum yields were calculated. These results suggest that solid phase extraction on the non-polar sorbent is a promising way to increase the content of the hypericin in the St. John's Wort extracts.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.012
GPT teacher head0.219
Teacher spread0.207 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2017
Admission routes1
Has abstractyes

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