کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5435135 1509145 2017 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Development and in vitro evaluation of potential electromodulated transdermal drug delivery systems based on carbon nanotube buckypapers
ترجمه فارسی عنوان
توسعه و ارزیابی درون سلولهای تحریک پذیری بالقوه الکترومغناطیسی ترانسدورال مبتنی بر نانوذرات کربنی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی مواد بیومتریال
چکیده انگلیسی


- Drug loaded buckypapers from carbon nanotubes were prepared and characterized.
- Their potentialities for transdermal drug delivery applications were evaluated.
- The application of electric biases modified release profiles.
- Five different mathematical models were fitted to the release profiles.
- The two-compartment pseudo-second-order model was the most appropriate.

Buckypapers based on different types of carbon nanotubes with and without the addition of four model drugs, two of basic nature (clonidine hydrochloride, selegiline hydrochloride) and the others of acidic character (flurbiprofen, ketorolac tromethamine) were prepared and characterized. The influence of the conditions employed in the preparation of the buckypapers (dispersion time and solvents used in the preparation, as well as the type of carbon nanotubes used and the characteristics of the drug involved) on their conductivity was especially examined. The in vitro performance of the drug loaded buckypapers as passive and active transdermal drug release systems, the latter being modulated by means of the application of electric voltages, was studied. Passive drug loaded buckypapers presented characteristic release profiles, also depending on the drug used, which indicate differences in the drug-carbon nanotubes non-covalent interactions. Application of electrical biases of appropriate polarities enabled the modulation of the drug release profiles in any desired direction. Different mathematical models were fitted to passive and electromodulated experimental release data for the four model drugs. Among these models, the most appropriate for data description was a two-compartment pseudo-second-order one.

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ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Materials Science and Engineering: C - Volume 76, 1 July 2017, Pages 431-438
نویسندگان
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