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Record W7132015896

Extraction of valuable compounds from Bulgarian St. John'S Wort (Hypericum Perforatum L.). Antioxidant capacity and total polyphenolic content

2018· other· W7132015896 on OpenAlexaboutno aff
Chimshirova R., Karsheva M., Diankov S., Hinkov I.

Bibliographic record

VenueBulgarian Portal for Open Science · 2018
Typeother
Language
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsPolyphenolHypericum perforatumAntioxidant capacityExtraction (chemistry)AntioxidantAntimicrobial
DOInot available

Abstract

fetched live from OpenAlex

Ethnobotanical reports claim that St. John's Wort has important biological and chemical properties and can be used for the treatment of many diseases. Most studies related to Hypericum perforatum are focused on its antidepressant effects, but it has also been examined for wound healing, antiviral and antimicrobial activity. In this study the experiments are carried out at ambient temperature at constant stirring rate. The solvent is a 50 vol. % water-ethanolic solution, the solid-to-liquid ratio is 1:10 g mL-1, and the average particle size is 0,75 mm. The results show that the antioxidant capacity and the total polyphenolic content are superior compared to those reported by other authors. The liquid extracts have been stored in a refrigerator for 9 months, then they have been examined again and it has been noticed that their antioxidant effect and total polyphenolic content are preserved. After drying at 50°C, storage and regeneration, the quality of the extracts did not change, which is important issue for long term transportation and storage.

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)0.008
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.766
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0020.003
Science and technology studies0.0030.012
Scholarly communication0.0040.005
Open science0.0070.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0140.001

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 head0.064
GPT teacher head0.309
Teacher spread0.245 · 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; both teacher heads agree on what is shown here.

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
Published2018
Admission routes1
Has abstractyes

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