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Record W2069001408 · doi:10.1021/op060011y

Polymorphic Generation through Solvent Selection:  Ranitidine Hydrochloride

2006· article· en· W2069001408 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueOrganic Process Research & Development · 2006
Typearticle
Languageen
FieldMaterials Science
TopicCrystallization and Solubility Studies
Canadian institutionsWestern University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsRecrystallization (geology)Ranitidine HydrochlorideNucleationCrystallizationSolventAcetonitrileMethanolPolymorphism (computer science)ChemistryFourier transform infrared spectroscopyChromatographyChemical engineeringOrganic chemistryRanitidine

Abstract

fetched live from OpenAlex

The fundamental processes of crystal nucleation and growth are strongly dependent on the solvents used in the crystallization process. Consequently, the product quality is also affected by the choice of solvent used in the process. In this study, several solvents were used, and their impact on the polymorphic generation of ranitidine hydrochloride (RAN-HCl) was studied using two different recrystallization modes. The solid-state FTIR and UV spectrophotometer were used for characterization and quantification of two polymorphic forms of RAN-HCl. It was found that methanol concentration greater than 10 wt % at nucleation onset favored formation of Form 2. The best results with respect to the solid bulk density were achieved with acetonitrile as an antisolvent.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.019
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.066
GPT teacher head0.339
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