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Record W2016854454 · doi:10.1021/je500482k

Solubility of Two Polymorphs of Erlotinib Hydrochloride in Isopropanol and Acetone from (273.15 to 303.15) K

2014· article· en· W2016854454 on OpenAlex
Jie Lü, Xiaolan Zhan, Lianwei Chen, Lijuan Zhang, Shimin Mao

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

VenueJournal of Chemical & Engineering Data · 2014
Typearticle
Languageen
FieldMaterials Science
TopicCrystallization and Solubility Studies
Canadian institutionsUniversity of Toronto
FundersNational Natural Science Foundation of China
KeywordsSolubilityChemistryAcetoneMetastabilitySolubilizationHydrochlorideChromatographyNuclear chemistryOrganic chemistry

Abstract

fetched live from OpenAlex

In this work the solubility of two polymorphic forms A and B of erlotinib hydrochloride in isopropanol (IPA) and acetone were determined by means of high-performance liquid chromatography (HPLC) in the temperature range from (273.15 to 303.15) K. The experimental data were correlated with the modified Apelblat equation. In particular, the effect of the surfactant Tween 80 on the solubility of both polymorphs was studied as well. The results show that the solubility of both polymorphs generally increases with the temperature, and polymorph A has a higher solubility than polymorph B which indicates that polymorph A is the metastable form. The modified Apelblat equation shows a good agreement with the experimental data with a percent error less than 3 %. Furthermore, the solubility of both polymorphs increases in a linear fashion with increasing the content of Tween 80 in organic solvents, wherein Tween 80 presents a same solubilization capacity to both polymorphs and a higher solubilization capacity in acetone than in IPA.

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)0.002
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.431

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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 head0.022
GPT teacher head0.271
Teacher spread0.249 · 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