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用于碳纳米管的结构特异性识别和分离的DNA序列动图

Xiaomin Tu¹, Suresh Manohar, Anand Jagota

¹DuPont Central Research and Development, Wilmington, Delaware 19880, USA.

|July 10, 2009

概括

研究人员开发了一种基于DNA的方法来对单基拉性半导体单壁碳纳米管 (SWNT) 进行分类. 这一突破使得所有12种主要的半导体SWNT物种的净化成为可能,推动了SWNT的研究和应用.

科学领域:

材料科学材料科学材料科学
纳米技术纳米技术
化学化学化学

背景情况:

单壁碳纳米管 (SWNTs) 具有相同的圆柱形结构,但在性上有所不同,影响其性能.
目前的合成方法产生SWNT的混合物,阻碍了基础研究和需要特定性质的应用.
现有的分离技术主要针对金属/半导体分离,而不是更具挑战性的单基拉性净化.

研究的目的:

开发一种系统和通用的方法,用于从合成混合物中净化单个单基拉性半导体SWNT.
为了研究和开发,使所有主要的单基拉性半导体SWNT物种能够被隔离.

主要方法:

选了一个大型的DNA库 (约. 10^60个序列) 来识别特定的DNA结合剂.
利用 DNA 序列来识别和促进单个 SWNT 奇拉性质的色谱分离.
研究了DNA纳米管识别的结构基础,包括将DNA折叠成2D板和3D桶.

主要成果:

确定了20多个能够进行选择性SWNT净化的短DNA序列.
从合成混合物中成功净化了所有12种主要的单基拉性半导体SWNT物种.
对于基础研究和应用开发都显示出足够的收益率.

结论:

一个基于DNA的新策略为半导体SWNTs的单基拉性分类问题提供了通用的解决方案.
在DNA识别序列中的周期性 purin-pyrimidine 模式对于选择性结合和折叠在 SWNT 上至关重要.
这种方法显著提高了获得纯SWNT的能力,为新的科学发现和技术创新铺平了道路.

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