کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10229315 | 518 | 2013 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Amphiphilic starlike dextran wrapped superparamagnetic iron oxide nanoparticle clsuters as effective magnetic resonance imaging probes
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی شیمی
بیو مهندسی (مهندسی زیستی)
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
Starlike polymers have been widely used in various fields, such as tissue engineering, imaging, gene and drug delivery because of their unique structures and properties. Dextran has long been used as a temporary plasma substitute because of its excellent biocompatibility. In this study, starlike polysaccharide with multiple dextran arms was designed and developed by attaching dextran to a β-cyclodextrin core through click chemistry. Next, starlike dextran was modified with aliphatic chains and these amphiphilic polymers can self-assemble into nanoscale micelles in water, and their critical micelle concentration values (3.7 Ã 10â8 M) are much lower comparing to its linear analogs (1.7 Ã 10â7 M), resulting in more stable nanostructures in aqueous environment. These micelles can encapsulate multiple superparamagnetic iron oxide nanoparticles and forming clustering particle nanostructures in water, and the resulting nanocomposites have a high T2 relaxivity of 436.8 Fe mmâ1 sâ1 under a 1.5T clinical magnetic resonance imaging (MRI) scanner. Further, dual functional probes were developed by loading both superparamagnetic iron oxide nanoparticles and small molecule anticancer drug doxorubicin into polymeric micelles. Multidrug-resistant breast cancer cells MCF-7/Adr treated with these probes can be characterized under MRI.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Biomaterials - Volume 34, Issue 4, January 2013, Pages 1193-1203
Journal: Biomaterials - Volume 34, Issue 4, January 2013, Pages 1193-1203
نویسندگان
Hongying Su, Yanhong Liu, Dan Wang, Changqiang Wu, Chunchao Xia, Qiyong Gong, Bin Song, Hua Ai,