Menthosomes, Novel Ultradeformable Vesicles for Transdermal Drug Delivery: Optimization and Characterization
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- Duangjit Sureewan
- Department of Pharmaceutics, Hoshi University Department of Pharmaceutical Technology, Faculty of Pharmacy, Silpakorn University
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- Obata Yasuko
- Department of Pharmaceutics, Hoshi University
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- Sano Hiromu
- Department of Pharmaceutics, Hoshi University
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- Kikuchi Shingo
- Department of Pharmaceutics, Hoshi University
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- Onuki Yoshinori
- Department of Pharmaceutics, Hoshi University
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- Opanasopit Praneet
- Department of Pharmaceutical Technology, Faculty of Pharmacy, Silpakorn University
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- Ngawhirunpat Tanasait
- Department of Pharmaceutical Technology, Faculty of Pharmacy, Silpakorn University
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- Maitani Yoshie
- Department of Drug Delivery Research, Hoshi University
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- Takayama Kozo
- Department of Pharmaceutics, Hoshi University
書誌事項
- 公開日
- 2012
- 資源種別
- journal article
- DOI
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- 10.1248/bpb.b12-00343
- 公開者
- 公益社団法人 日本薬学会
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説明
Menthosomes, novel deformable carriers for the enhancement of transdermal delivery are introduced in this study. Meloxicam (MX)-loaded menthosomes were formulated, and their physicochemical characteristics and skin permeability were evaluated. A two-factor spherical and second-order composite experimental design was used to prepare the formulation of the menthosomes. Ten formulations of menthosomes composed of a phospholipid as the lipid bilayer carrier, cholesterol (Chol) as a stabilizer and cetylpyridinium chloride (CPC) and L-menthol as penetration enhancers were prepared. The amounts of Chol and CPC were selected as causal factors. Physicochemical characteristics (particle size, size distribution, zeta potential, elasticity and drug content) and an in vitro skin-permeation study of meloxicam-loaded menthosomes were evaluated. The concentrations of MX that permeated the skin at 2–12 h and the flux were selected as response variables. The optimal formulation was estimated using a nonlinear response-surface method incorporating thin-plate spline interpolation. The experimental values were very close to the values predicted by the computer programs in this study. A Bayesian network analysis was applied to gain a mechanistic understanding of the relationships between causal factors and response variables.
収録刊行物
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- Biological & Pharmaceutical Bulletin
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Biological & Pharmaceutical Bulletin 35 (10), 1720-1728, 2012
公益社団法人 日本薬学会
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詳細情報 詳細情報について
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- CRID
- 1390282679610262144
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- NII論文ID
- 130001872364
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- NII書誌ID
- AA10885497
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- COI
- 1:STN:280:DC%2BC3s%2FisF2guw%3D%3D
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- ISSN
- 13475215
- 09186158
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- NDL書誌ID
- 023972518
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- PubMed
- 23037161
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- 本文言語コード
- en
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- 資料種別
- journal article
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- データソース種別
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- JaLC
- NDLサーチ
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- PubMed
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