动态光散射
材料科学
场流分馏
表征(材料科学)
原子力显微镜
壳聚糖
分馏
化学工程
显微镜
分析化学(期刊)
静态光散射
纳米技术
纳米颗粒
色谱法
化学
光学
物理
工程类
作者
Guillaume Rigaux,Cecilia Virginia Gheran,Maïté Callewaert,Cyril Cadiou,Sorina Nicoleta Voicu,Anca Dinischiotu,M.-C. Andry,Luce Vander Elst,Sophie Laurent,Robert N. Müller,Alexandre Berquand,Michaël Molinari,Sandrine Huclier‐Markai,Françoise Chuburu
出处
期刊:Nanotechnology
[IOP Publishing]
日期:2016-12-28
卷期号:28 (5): 055705-055705
被引量:21
标识
DOI:10.1088/1361-6528/aa5188
摘要
Chitosan CS-tripolyphosphate TPP/hyaluronic acid HA nanohydrogels loaded with gadolinium chelates (GdDOTA ⊂ CS-TPP/HA NGs) synthesized by ionic gelation were designed for lymph node (LN) MRI. In order to be efficiently drained to LNs, nanogels (NGs) needed to exhibit a diameter ϕ < 100 nm. For that, formulation parameters were tuned, using (i) CS of two different molecular weights (51 and 37 kDa) and (ii) variable CS/TPP ratio (2 < CS/TPP < 8). Characterization of NG size distribution by dynamic light scattering (DLS) and asymetrical flow-field-flow-fractionation (AF4) showed discrepancies since DLS diameters were consistently above 200 nm while AF4 showed individual nano-objects with ϕ < 100 nm. Such a difference could be correlated to the presence of aggregates inherent to ionic gelation. This point was clarified by atomic force microscopy (AFM) in liquid mode which highlighted the main presence of individual nano-objects in nanosuspensions. Thus, combination of DLS, AF4 and AFM provided a more precise characterization of GdDOTA ⊂ CS-TPP/HA nanohydrogels which, in turn, allowed to select formulations leading to NGs of suitable mean sizes showing good MRI efficiency and negligible toxicity.
科研通智能强力驱动
Strongly Powered by AbleSci AI