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Production Process of Canada Goldenrod Herb (Solidago canadensis) Tincture and Extract

2025· article· ru· W4416087859 on OpenAlex
Р. И. Лукашов, N. S. Gurina, М. Н. Повыдыш

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueRegulâtornye issledovaniâ i èkspertiza lekarstvennyh sredstv. · 2025
Typearticle
Languageru
FieldMedicine
TopicMedicinal plant effects and applications
Canadian institutionsnot available
Fundersnot available
KeywordsHerbTincture (heraldry)Raw materialYield (engineering)DistillationRhizome

Abstract

fetched live from OpenAlex

INTRODUCTION. Pre-treatment of local herbal substances is an essential growth vector in pharmaceutical industry. Canada goldenrod ( Solidago canadensis L.) is a promising source of anti-inflammatory and diuretic substance widespread in Russia and Belarus. Pre-treatment of herbal substances increases the yield of biologically active substances (in particular flavonoids) during extraction, a trait useful for obtaining tinctures and extracts of Canada goldenrod herbs. AIM. This study aimed to develop processing technology of tinctures and extracts obtained from pre-treated Canada goldenrod allowing to increase the content of flavonoids. MATERIALS AND METHODS. Canada goldenrod herb was the study object. Four pre-treatment options were studied: heat pre-treatment, defatting, and their combinations. The content of flavonoids was determined by high-performance liquid chromatography. Gas chromatography was used to define residual organic solvents. RESULTS. The highest yield of flavonoids in tinctures was observed with ethanol volume fraction of 60–70%, raw materials to extractant ratio 1 g to 25 ml, grinding degree of raw materials 2,000 μm, and a settling time of the primary extract no more than four days for remaceration. The highest content of flavonoids in dry extracts is achieved with 90% relative distillation volume, 80 °C distillation temperature, 40 min minimum distillation time, 6 cm thickness of the distilled layer, and no more than 4 days settling time of the primary extract. The highest yield of flavonoids in the tincture is observed in heat pre-treatment of Canada goldenrod herb and in pre-treatment defatting of the herbal raw material for the dry extract. CONCLUSIONS. Optimal technological parameters for production of Canada goldenrod herb tinctures and extracts have been established. The above technologies developed considering pre-treatment stage can be used to produce the specified extracts of Canada goldenrod herb enriched with flavonoids.

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.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.154
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.006
GPT teacher head0.253
Teacher spread0.247 · 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