THE EFFECT OF TEMPERATURE, PH, AND DIFFERENT SOLUBILIZING AGENTS ON STABILITY OF TAXOL
Bibliographic record
Abstract
Inabilities to attain adequate aqueous solubility and stability have made the preparation of a clinically suitable formulation of taxol difficult. Addition of nicotinamide (ND), 2-hydroxypropyl-β-cyclodextrin (HPsCD), polyethylene glycol, (PEG), bile salts (BS, 50:50 sodium cholate: deoxycholate), and cremophor EL can improve the solubility of taxol. Studies were undertaken to compare the stability of taxol in HPsCD (20%), ND (20%), PEG (20%), BS (20%), and cremophor EL (cremophor: ethanol 0.5% of each) solutions at 25, 37, 50, and 60 o C. Taxol concentration was measured by HPLC method. The rate of degradation proceeded in a Log-linear fashion and increased progressively with the elevation of temperature in all solutions except in HPβCD which taxol had negligible degradation. In the absence of added agents, taxol exhibited the lowest and highest stability at pH 1.2 and 4.5, respectively. Taxol was most stable in HPβCD followed by PEG and then ND. The stability of taxol increased linearly with the HPβCD concentration (0-5% w/v). Due to the observed improved stability and solubility, HPβCD may be considered for pharmaceutical studies as a suitable stabilizer for formulation of taxol.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".