It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
Abstract
One of the potential candidates as a drug delivery agent that has been widely developed is mesoporous silica nanoparticle (MSN), which has several unique features. The high surface area and pore volume, tunable size particle, biocompatibility, and non-toxic are great features promising drug delivery carriers. The optimum condition to load the drug onto MSN is needed to maximize the loading of drugs. The drug loading is influenced by factors, such as silica to drug ratio, time, and pH condition. In this study, we had conducted the optimization of drug loading into MSN by implemented the Box-Behnken design of experiments. Also, the influence of each factor can be obtained through statistical calculation. The results showed that silica to drug ratio and pH condition significantly affect the loading capacity of MSN. The optimum condition obtained at silica to drug ratio, time, and pH conditions is 1, 48, and 3, respectively.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details
1 Chemistry Department, Faculty of Mathematic and Natural Sciences, Sebelas Maret University Surakarta, Indonesia
2 Departamento de Biología y Geología, Física y Química Inorgánica, Universidad Rey Juan Carlos, Móstoles, Madrid E-28933, Spain
3 Division of Inorganic and Physical Chemistry, Faculty of Mathematics and Natural Sciences, Institut Teknologi Bandung, Indonesia
4 Faculty of Pharmacy, Universitas Gadjah Mada, Yogyakarta, Indonesia