Designed for Dentistry, Articaine in NLC Improves Anaesthesia atInflamed Tissues
Bibliographic record
Abstract
Although used on a regular basis, local anaesthetics fail in places where inflammation is present, a problem for routine dental care. Intrinsic factors of the inflammatory process prevent anaesthetics from performing their function, at safe doses. The encapsulation of local anaesthetics in nanostructured lipid carriers (NLC) produces formulations with good physicochemical characteristics and improved anaesthetic effect. In that sense we developed an NLC formulation for articaine (ATC), a local anaesthetic with increasing use in dentistry. The developed formulation showed average particle sizes of 237.6 3.3 nm, low polydispersity (PDI=0.169 0.015) and negative zeta potentials (-42.1 0.5 mV), suitable for parenteral application. ATC was successfully encapsulated (%EE = 66.8 2.3%) in such lipid nanocarriers. When tested in vivo, in a rodent carrageenan-induced inflammation model, NLC-ATC decreased by 35% the inflammatory hyperalgesia response, in relation to free articaine. These results had encouraged us to propose further clinical evaluation tests to test the formulation in dentistry.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".