Review of Pharmaceutical Applications of Diethylene Glycol Monoethyl Ether
Bibliographic record
Abstract
Diethylene glycol monoethyl ether (DEGME) is a hydroalcoholic solvent that gained tremendous attention in the cosmetics, food, nanoformulations, and pharmaceutical industries. Due to its physicochemical features, it has been widely used as a penetration enhancer, surfactant, and solubilizer. Among numerous tradenames defined for DEGME -- Carbitol® (by Dow Chemical Co., USA), and Transcutol® HP, CG, and P. (by Gattefossé Co., France) -- are known to be employed in pharmaceutical industries. Transcutol® CG is utilized only in cosmetics; however, Transcutol® P and Carbitol® are both used in various pharmaceutical topical dosage forms such as creams, gels, etc. Additionally, Transcutol® HP is used in all administration routes. In view of this, the application of DEGME is highlighted in the areas of industry and pharmaceutical sciences. Moreover, in this review the prominent characteristics, pharmacokinetics, and toxicity of DEGME are examined and it is suggested that DEGME is a promising solvent/solubilizer with comparable assignments to other conventional excipients.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.004 |
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 source (direct Gemma or distilled Codex), 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".