Preparation of carboxylmethylchitosan and alginate blend membrane for diffusion-controlled release o

来源 :材料科学技术(英文版) | 被引量 : 0次 | 上传用户:ljq529632883
下载到本地 , 更方便阅读
声明 : 本文档内容版权归属内容提供方 , 如果您对本文有版权争议 , 可与客服联系进行内容授权或下架
论文部分内容阅读
Controlled drug release technology is becoming a commercially sound methodology of administering pharmaceutical therapies,and it is important to predict and control the release kinetics to fully take advantage of this technology.Carboxylmethylchitosan (CMCS) and alginate (SA) blend membranes were successfully prepared by solution casting technique and exposing to acetic acid atmosphere,which induced the protonation of the amino groups of CMCS,and the formation of polyelectrolyte composite hydrogels.By using diclofenac diethylamine as the model drug,the diffusion controlled drug release behaviors of the membranes were studied based on permeation experiment,which indicated that the swelling rates of the membranes could be adjusted by simply changing the weight ratio of CMCS/SA and effectively changed the release rate of the membrane.The study shows that CMCS/SA blend membranes are promising biomaterials used for modulating the permeation behavior and developing advanced drug delivery systems.
其他文献
大学生创新创业教育必须要靠政府以及社会各级组织的广泛关注和大力扶持.本文通过比较研究中国与西方高校创业教育保障机制的差异,并根据我国国情有选择的借鉴成功经验,分析
Although using elemental powder mixtures may provide broad alloy selection at low cost for selective laser melting(SLM),there is still a concern on the resultan
Dynamic control of the absorption frequency and intensity of metamaterial absorbers has attracted considerable attention,and many kinds of tunable metamaterial
期刊
New multilayer coatings were produced by incorporating alternating soft and hard DLC layers enabled by varying the bias voltage during deposition process while
为进一步提高多输入多输出(multiple-input multiple-output, MIMO)系统性能,研究了深度学习方法来联合解决MIMO系统信号检测与信道译码问题。通过将深度神经网络、自动编码器神经网络与传统MIMO通信系统的物理层架构进行有机融合,构建了基于神经网络的MIMO系统模型,可获取系统发射端的信息比特或码字及信道状态信息,采用了端对端的训练方式,使不同神经网络模型可学习系统收