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| Author(s): |
Ramon Kenned de Sousa Almeida
Total Authors: 1
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| Document type: | Doctoral Thesis |
| Press: | Campinas, SP. |
| Institution: | Universidade Estadual de Campinas (UNICAMP). Instituto de Química |
| Defense date: | 2012-08-27 |
| Examining board members: |
Claudio Airoldi;
Maria Gardennia da Fonseca;
Edson Cavalcanti da Silva Filho;
Alviclér Magalhães;
Celso Aparecido Bertran
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| Advisor: | Claudio Airoldi |
| Abstract | |
Mesoporous SBA-15 and SBA-16 silicas synthesized by hydrothermal method using P123 and F127 copolymers as structure directing agents were organofunctionalized with silylating agents containing functional groups, such as nitrogen, oxygen and sulfur. The silicas were characterized by elemental analysis, infrared spectroscopy, nuclear magnetic resonance of carbon and silicon nuclei in solid state, thermogravimetry, surface area, X-ray scattering at low angle, scanning electron microscopy and transmission. The characterizations demonstrated the effectiveness of the synthesis of SBA-15 and SBA-16 silicas with hexagonal and cubic structures, respectively. The organofunctionalized silicas showed that the obtained surface modification gave highest degrees of anchoring when functionalized with organosilanes containing nitrogen. Besides the silicas, were also synthesized mesopororous carbons using silicas as hard template, which were functionalized with maleic anhydride and subsequent reaction with water and lithium aluminum hydride, resulting in carboxylic groups due to the reduction process. The effectiveness of the functionalized was proven, mainly by infrared spectroscopy, thermogravimetry, 13C NMR and X-ray photoelectron. Assays with ibuprofen and gemfibrozil releasing were performed on SBA-15 and SBA-16 silicas and the results showed that the ibuprofen is released from SBA-15 in a constant and controlled form for 77 h. Furthermore, release profiles of gemfobrozil gave 67 % of the drug released from both silicas, however the equilibrium time were 70 h when used SBA-15 and 24 h for SBA-16. In addition, it was found that the data has good fitting when applied for appropriate model and the release mechanisms are governed by the influence of diffusion and release time (AU) | |