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Record W2365551513

Extraction and Antioxidant Activity of Tannic in Juglans mandshurica Maxim

2015· article· en· W2365551513 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueZhiwu yanjiu · 2015
Typearticle
Languageen
FieldNursing
TopicNuts composition and effects
Canadian institutionsScience North
Fundersnot available
KeywordsChemistryAcetoneExtraction (chemistry)Tannic acidProanthocyanidinTanninChromatographyJuglansAntioxidantVolume (thermodynamics)PolyphenolFood scienceOrganic chemistryBiochemistry
DOInot available

Abstract

fetched live from OpenAlex

Juglans mandshurica Maxim. tannins was extracted by ultrasonic method. Tannins content was determined by UV spectrophotometry. The effects of the volume fraction of acetone,ultrasonic temperature,ultrasonic time,and ratio of material to liquid on tannins were evaluated by orthogonal test method in the ultrasonic experiment. The optimal extraction conditions for the tannins in green peel of J. mandshurica were the volume fraction of acetone of 40%,ultrasonic temperature of 40℃,extraction time of 30 min,and solid-liquid ratio of 1∶15. The optimal extraction conditions for the tannins in leaves of J. mandshurica were the volume the fraction of acetone of 50%,ultrasonic temperature of 60℃,extraction time of 40 min,and solid-liquid ratio of1∶20. The tannins in both green peel and leaves had excellent scavenging capacity for hydroxyl radical,nitrite ions and superoxide anion. The ability of scavenging three kinds of free radicals of the tannins in leaves was stronger than that of the green peel. J. mandshurica tannins had strong antioxidation,and the tannins was with potential pharmaceutical value as a good natural antioxidant.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.776
Threshold uncertainty score0.341

Codex and Gemma teacher scores by category

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 head0.024
GPT teacher head0.297
Teacher spread0.273 · 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