Current status and role of carbopols in oral, nasal, transdermal, topical and ophthalmic drug delivery systems
Bibliographic record
Abstract
Both natural and synthetic biodegradable polymeric materials have revolutionized the pharmaceutical and medical fields due to their flexible properties and their ability to be to be customized to meet individual patient needs. These biodegradable materials have the potential to significantly advance drug formulation and biomedical implants by enhancing drug bioavailability, controlling undesirable pharmacokinetics, and modulating the residence time of drugs in systemic circulation, among other benefits. Carbopols are a class of high molecular weight synthetic polymers made by cross linking of poly (acrylic acid). They are widely employed in pharmaceuticals due to their attractive properties such as gelling ability, mucoadhesiveness, bioadhesiveness, thickening capability and biodegradability. Although these polymers were synthesized and patented in the mid-20th century, no comprehensive review on the role of carbopols in drug delivery systems has been reported to date. This review aims to specifically discuss the significance and impact of carbopol in the development of oral, nasal, transdermal, topical, and ophthalmic drug delivery systems. In addition to addressing the benefits and limitations of this polymer, this review also highlights future prospects and anticipated advancements based on existing research. • An insight into structure and properties of carbopol. • Discussion on classification of carbopol based on trade names. • Influence of carbopol in development of oral, nasal, topical, transdermal and ophthalmic drug delivery systems.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
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".