MétaCan
Menu
Back to cohort
Record W2385061439

Study on the inclusion between diacerein and cyclodextrin by spectrophotometry

2013· article· en· W2385061439 on OpenAlexaff
Gao Su-y

Bibliographic record

VenueApplied Chemical Industry · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicLipid Membrane Structure and Behavior
Canadian institutionsScience North
Fundersnot available
KeywordsChemistryCyclodextrinEndothermic processExothermic reactionHydrogen bondvan der Waals forceSpectrophotometryInclusion compoundNuclear chemistryAdsorptionChromatographyPhysical chemistryOrganic chemistryMolecule
DOInot available

Abstract

fetched live from OpenAlex

The inclusions between diacerein and beta-cyclodextrin(β-CD) and hydroxypropyl-beta-cyclocextrin(HP-β-CD) were investigated by spectrophotometry at the physiological conditions.A spontaneous exothermic process was produced in the reaction of diacerein and β-CD according to thermodynamic parameters such as ΔrHm 0 and ΔrGm 0.Furthermore,it was concluded that diacerein interacted mainly with β-CD by hydrogen bond and Van Der Waals force according to thermodynamic parameters such as ΔrHm 0 and ΔrSm 0.At the same time,it was concluded that a spontaneous endothermic process was produced in the reaction of diacerein with HP-β-CD according to thermodynamic parameters such as ΔrHm 0 and ΔrGm 0.In addition,it was a hydrophobic interaction process by entropy driving according to thermodynamic parameters such as ΔrHm 0 and ΔrSm 0 in the reaction of diacerein and HP-β-CD.The results were in agreement with the experimental ones.The ratios of inclusion were all 1 ∶ 1 in diacerein with β-CD and HP-β-CD.And the bonding constant in diacerein-HP-β-CD system was more than the one in dicerein-β-CD system at the same temperature.

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)0.001
metaresearch head score (Gemma)0.001
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
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.252
Teacher spread0.240 · 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
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueApplied Chemical IndustrySame topicLipid Membrane Structure and BehaviorFrench-language works237,207