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Record W2993789069

Study on the ethanol extraction of isoflavones from callus of Sophora japonica L. fruits.

2012· article· en· W2993789069 on OpenAlexvenueno aff
PU Li-hua, Zhonghua Liu, Wei ZhengYuan, Jinfei Wang

Bibliographic record

VenueSeed · 2012
Typearticle
Languageen
FieldMedicine
TopicPhytoestrogen effects and research
Canadian institutionsnot available
Fundersnot available
KeywordsExtraction (chemistry)IsoflavonesCallusSophoraChemistryChromatographyEthanolJaponicaTraditional medicineBotanyBiologyBiochemistryMedicine
DOInot available

Abstract

fetched live from OpenAlex

In this paper,the contents of total isoflavone in callus of Sophora japonica L.Fruits were determined by violet and visible spectrophotometric methods in terms of sophoricoside equivalent.First of all,the single factor experiments were conducted,then the orthogonal experiment of L9(34)(four factors three levels) by colorimetric estimation was designed.The results of the study showed that the optimum process of ethanol extraction of isoflavone of Sophora japonica L.Fruits was obtained,when used 75 ℃ extraction temperature,9 h extraction times,60% ethanol concentration,and extracting liquid and extraction agent ratio was 70∶1.The extraction capacity of isoflavone of Sophora japonica L.was 12.045 mg/g at most.

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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.065
GPT teacher head0.367
Teacher spread0.302 · 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
Published2012
Admission routes1
Has abstractyes

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