How to accurately predict solution-phase gold nanostar stability.
How to accurately predict solution-phase gold nanostar stability.
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DOI：
10.1007/s00216-018-1115-6
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发表时间：
2018-09
影响因子：
4.3
通讯作者：
Haes AJ
中科院分区：
文献类型：
--
作者：
Xi W;Phan HT;Haes AJ
当各向异性纳米颗粒分散在各种溶剂和基质中时，可能会发生不希望的纳米颗粒聚集和/或团聚。虽然（扩展的）Derjaguin，朗道，Verwey，Overbeek（DLVO）理论已成功地应用于预测纳米颗粒的稳定性，该模型未能准确预测各向异性纳米结构的物理稳定性，从而限制了其在实践中的适用性。在此，DLVO理论通过考虑纳米星尺寸如何影响纳米结构之间的吸引力和排斥力来准确地预测金纳米星的稳定性。该模型预测，使用平均曲率半径的nanostar尖端，而不是平均半径增加了实验观察到的纳米粒子的行为的准确性。通过测量悬浮在各种离子强度溶液中的金纳米星的时间依赖性局部表面等离子体共振（LSPR）光谱来验证上述预测。从碰撞理论计算的最小能量势垒作为纳米颗粒浓度的函数被用于引入动力学预测。总而言之，这些研究表明，金纳米星尺寸对于理解和预测各向异性纳米结构（如金纳米星）的趋势至关重要，这些纳米结构要么保持稳定并可重复使用，要么聚集并显示不一致的结果。因此，提供了对溶液中纳米颗粒间相互作用的更深入理解，并有望在未来导致这些重要材料的更一致和更有效的分析和生物分析应用。
Unwanted nanoparticle aggregation and/or agglomeration may occur when anisotropic nanoparticles are dispersed in various solvents and matrices. While (extended) Derjaguin, Landau, Verwey, Overbeek (DLVO) theory has been successfully applied to predict nanoparticle stability, the model fails at accurately predicting the physical stability of anisotropic nanostructures thus limiting its applicability in practice. Herein, DLVO theory accurately predicts gold nanostar stability by considering how nanostar dimension influences attractive and repulsive interactions between nanostructures. The model predicts that using the average radius of curvature of the nanostar tips instead of average radius increases the accuracy of experimentally observed nanoparticle behavior. The aforementioned predictions are validated by measuring time dependent localized surface plasmon resonance (LSPR) spectra of gold nanostars suspended in various ionic strength solutions. Minimum energy barriers calculated from collision theory as a function of nanoparticle concentration are utilized for introducing kinetic predictions. All in all, these studies suggest that gold nanostar dimensions are crucial for understanding and predicting the tendency of anisotropic nanostructures such as gold nanostars either to remain stable and be used reproducibly or aggregate and exhibit inconsistent results. Thus, a deeper understanding of inter-nanoparticle interactions in solution is provided and expected to lead to more consistent and efficient analytical and bioanalytical applications of these important materials in the future.
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DOI：
10.1016/s0927-7757(98)00566-4
发表时间：
1998-12-20
影响因子：
5.2
作者：
Lee, KT;Sathyagal, AN;McCormick, AV
通讯作者：
McCormick, AV
影响因子：
3.7
作者：
de Puig, Helena;Tam, Justina O.;Yen, Chun-Wan;Gehrke, Lee;Hamad-Schifferli, Kimberly
通讯作者：
Hamad-Schifferli, Kimberly
影响因子：
2.5
作者：
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通讯作者：
Hussian, S.
影响因子：
7.4
作者：
Haiss, Wolfgang;Thanh, Nguyen T. K.;Fernig, David G.
通讯作者：
Fernig, David G.
影响因子：
4.3
作者：
Casu, Alberto;Cabrini, Elisa;Pallavicini, Piersandro
通讯作者：
Pallavicini, Piersandro