Related Experiment Video
Updated: May 30, 2026

Engineering Molecular Recognition with Bio-mimetic Polymers on Single Walled Carbon Nanotubes
Published on: January 10, 2017
Evolution of DNA sequences toward recognition of metallic armchair carbon nanotubes
Xiaomin Tu1, Angela R Hight Walker, Constantine Y Khripin
1Polymers Division, National Institute of Standards and Technology, Gaithersburg, Maryland 20899, USA.
Abstract:
The armchair carbon nanotube is an ideal system to study fundamental physics in one-dimensional metals and potentially a superb material for applications such as electrical power transmission. Synthesis and purification efforts to date have failed to produce a homogeneous population of such a material. Here we report evolutionary strategies to find DNA sequences for the recognition and subsequent purification of (6,6) and (7,7) armchair species from synthetic mixtures. The new sequences were derived by single-point scanning mutation and sequence motif variation of previously identified ones for semiconducting tubes. Optical absorption spectroscopy of the purified armchair tubes revealed well-resolved first- and second-order electronic transitions accompanied by prominent sideband features that have neither been predicted nor observed previously. Resonance Raman spectroscopy showed a single Lorentzian peak for the in-plane carbon-carbon stretching mode (G band) of the armchair tubes, repudiating the common practice of using such a line shape to infer the absence of metallic species. Our work demonstrates the exquisite sensitivity of DNA to nanotube metallicity and makes the long-anticipated pure armchair tubes available as seeds for their mass amplification.
Related Concept Videos
Maxam-Gilbert Sequencing
Challenges of the Maxam-Gilbert Method
The...
DNA as a Genetic Template
Next-generation Sequencing
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features.
The DNA Helix
The DNA Helix
Evolutionary Relationships through Genome Comparisons

