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Gold Nanoparticles in Biology: Beyond Toxicity to Cellular Imaging

胶体金 纳米颗粒 纳米技术 等离子体子 动态光散射 材料科学 等离子纳米粒子 纳米棒 光散射 表面等离子共振 化学 散射 光学 光电子学 物理
作者
Catherine J. Murphy,Anand Gole,John W. Stone,Patrick N. Sisco,Alaaldin M. Alkilany,Edie C. Goldsmith,Sarah C. Baxter
出处
期刊:Accounts of Chemical Research [American Chemical Society]
卷期号:41 (12): 1721-1730 被引量:1774
标识
DOI:10.1021/ar800035u
摘要

Gold, enigmatically represented by the target-like design of its ancient alchemical symbol, has been considered a mystical material of great value for centuries. Nanoscale particles of gold now command a great deal of attention for biomedical applications. Depending on their size, shape, degree of aggregation, and local environment, gold nanoparticles can appear red, blue, or other colors. These visible colors reflect the underlying coherent oscillations of conduction-band electrons ("plasmons") upon irradiation with light of appropriate wavelengths. These plasmons underlie the intense absorption and elastic scattering of light, which in turn forms the basis for many biological sensing and imaging applications of gold nanoparticles. The brilliant elastic light-scattering properties of gold nanoparticles are sufficient to detect individual nanoparticles in a visible light microscope with ∼102 nm spatial resolution. Despite the great excitement about the potential uses of gold nanoparticles for medical diagnostics, as tracers, and for other biological applications, researchers are increasingly aware that potential nanoparticle toxicity must be investigated before any in vivo applications of gold nanoparticles can move forward. In this Account, we illustrate the importance of surface chemistry and cell type for interpretation of nanoparticle cytotoxicity studies. We also describe a relatively unusual live cell application with gold nanorods. The light-scattering properties of gold nanoparticles, as imaged in dark-field optical microscopy, can be used to infer their positions in a living cell construct. Using this positional information, we can quantitatively measure the deformational mechanical fields associated with living cells as they push and pull on their local environment. The local mechanical environment experienced by cells is part of a complex feedback loop that influences cell metabolism, gene expression, and migration.
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