ArticleJournal of applied oral science : revista FOB2019
Doxycycline release and antibacterial activity from PMMA/PEO electrospun fiber mats.
Article in Journal of applied oral science : revista FOB, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 28 citations in OpenAlex.
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- PEGylated chitosan xerogels for localized periodontal therapy: design, characterization, and drug release.Scientific reports · 2025Article
- Electrospun nanofibers: Focus on local therapeutic delivery targeting infectious disease.Journal of drug delivery science and technology · 2025Article
- Electrospun Carvacrol-Loaded Polyacrylonitrile/Poly(ethylene oxide) Nanofibrous Films as Wound Dressings.ACS omega · 2024Article
- Treatment of periodontal disease: does drug delivery matter?Frontiers in bioengineering and biotechnology · 2024Article
- A Neural Network Approach to Reducing the Costs of Parameter-Setting in the Production of Polyethylene Oxide Nanofibers.Micromachines · 2023Article
- Antibacterial and Physical Properties of PVM/MA Copolymer- Incorporated Polymethyl Methacrylate as a Novel Antimicrobial Acrylic Resin Material.Molecules (Basel, Switzerland) · 2022Article
- Article
- Electrospun Polymer Nanofibers with Antimicrobial Activity.Polymers · 2022Review
- Understanding and utilizing textile-based electrostatic flocking for biomedical applications.Applied physics reviews · 2021Review
- Novel oxygen-generation from electrospun nanofibrous scaffolds with anticancer properties: synthesis of PMMA-conjugate PVP-HRSC advances · 2021Article
- Development of an antibacterial and anti-metalloproteinase dental adhesive for long-lasting resin composite restorations.Journal of materials chemistry. B · 2020Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo investigate the use of polymethyl methacrylate (PMMA) electrospun fiber mats containing different amounts of polyethylene oxide (PEO) as a doxycycline delivery system and to test antibacterial activity against an oral pathogen. METHODOLOGY: PMMA powders or PEO (mol wt 200 Kd) (10,20,30% w/w/) were dissolved in N, N-dimethylformamide (DMF) to obtain a final polymer concentration of 15% in DMF (w/v). 2% Doxycycline monohydrate was added to the solutions and submitted to vortex mixing. The solution was transferred to a plastic syringe and fit into a nanofiber electrospinning unit. The parameters applied were: voltage at 17.2 kV; distance of 20 cm between the needle tip and the collector plate; target speed at 2 m/min; and transverse speed at 1cm/min. Syringe pump speed was 0.15 mm/min. The drug release analysis was performed by removing aliquots of the drug-containing solution (in PBS) at specific periods. Doxycycline release was quantified using RP-HPLC. Fiber mats from all groups had their antibacterial action tested against S. mutans based on inhibition halos formed around the specimens. The experiments were performed in triplicate. Gravimetric analysis at specific periods was performed to determine any polymer loss. Morphological characterization of the electrospun fibers was completed under an optical microscope followed by SEM analysis.
resultsThe addition of PEO to the PMMA fibers did not affect the appearance and diameter of fibers. However, increasing the %PEO caused higher doxycycline release in the first 24 h. Fibers containing 30% PEO showed statistically significant higher release when compared with the other groups. Doxycycline released from the fibers containing 20% or 30% of PEO showed effective against S. mutans.
conclusionThe incorporation of PEO at 20% and 30% into PMMA fiber mat resulted in effective drug release systems, with detected antibacterial activity against S. mutans.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.