Hiring in life sciences? Share your open positions with our professional community. Read more Close

Advertisement

Mechanistic Insights into Moxifloxacin HCl Permeability from Nitrocellulose-Based In Situ Gels via Confocal Imaging and DFT Modeling.

Created on 09 Sep 2026

Authors

Nutdanai Lertsuphotvanit, Setthapong Senarat, Utsana Puapermpoonsiri, Siriporn Jungsuttiwong, Pimjai Pimbaotham, Napaphol Puyathorn, Thawatchai Phaechamud

Published in

AAPS PharmSciTech. Volume 27. Issue 7. Sep 08, 2026. Epub Sep 08, 2026.

Abstract

This study reports the development and multiscale evaluation of a nitrocellulose (Nc)-based in situ gel (ISG) system for localized delivery of moxifloxacin HCl (Mx) in periodontitis therapy. The formulations, composed of 15% w/w Nc dissolved in glycerol formal (Gf) or dimethyl sulfoxide (DMSO), exhibited rapid gelation within 1-3 min upon exposure to simulated crevicular media. SEM revealed solvent-dependent matrix morphology, with DMSO-based ISG forming denser and more porous structures, while Gf-based systems showed smoother, lamellar-like architectures. In vitro drug release through porcine mucosa membrane studies using Franz diffusion demonstrated sustained release profiles. CLSM imaging confirmed depth-restricted tissue penetration of sodium fluorescein (Sf), with fluorescence limited to < 50 µm in Nc-based ISGs versus > 100 µm Sf-loaded solvent controls. Drug distribution analysis further showed increased retention in Nc matrix and porcine mucosa in which Nc-formulations retarded diffusion into the receptor medium. DFT analysis revealed that Nc-Mx complex exhibited the most apparent binding energy (-2.43 eV) compared to Mx-solvent and Nc-solvent interactions, supporting a polymer-drug affinity-driven release mechanism. Collectively, these results establish Nc-based ISG as a promising platform for targeted mucosa-retentive delivery of antibiotics in periodontal therapy, combining tunable matrix formation with molecular-level control over drug diffusion.

PMID:
42711593
Bibliographic data and abstract were imported from PubMed on 09 Sep 2026.

Read full publication at:
Please sign in to see all details.

Advertisement

Stats

  • Community rating n/a 0 votes
  • Reviewers' rating n/a 0 votes
  • Your rating

1-terrible, 9-excellent. How would you rate this publication? Sign in in to submit your rating.

  • Recommendations n/a n/a positive of 0 vote(s)
  • Views 6
  • Comments 0

Recommended by

  • No recommendations yet.

Post a comment

You need to be signed in to post comments. You can sign in here.

Comments

There are no comments yet.

Advertisement