Correlation Dynamics and Enhanced Signals for Serial DNA Sequencing

Abstract

Nanopore based sequencing has demonstrated significant potential for the development of fast, accurate, and cost-efficient fingerprinting techniques for next generation molecular detection and sequencing. We propose a specific multi-layered graphene-based nanopore device architecture for the recognition of single DNA bases. Molecular detection and analysis can be accomplished through the detection of transverse currents as the molecule or DNA base translocates through the nanopore. To increase the overall signal-to-noise ratio and the accuracy, we implement a new "multi-point cross-correlation" technique for identification of DNA bases or other molecules on the molecular level. We demonstrate that the cross-correlations between each nanopore will greatly enhance the transverse current signal for each molecule. We implement first-principles transport calculations for DNA bases surveyed across a multi-layered graphene nanopore system to illustrate the advantages of proposed geometry. A time-series analysis of the cross-correlation functions illustrates the potential of this method for enhancing the signal-to-noise ratio. This work constitutes a significant step forward in facilitating fingerprinting of single biomolecules using solid state technology.

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Cited by in corpus (4)

• Recent progress in atomistic simulation of electrical current DNA sequencing
• First-principles vs. semi-empirical modeling of global and local electronic transport properties of graphene nanopore-based sensors for DNA sequencing
• First principles investigation of nanopore sequencing using variable voltage bias on graphene-based nanoribbons
• Improving sequencing by tunneling with multiplexing and cross-correlations