Interaction of single- and double-stranded DNA with multilayer MXene by fluorescence spectroscopy and molecular dynamics simulations

C. Lorena Manzanares-Palenzuela, Amir M. Pourrahimi, J. Gonzalez-Julian, Zdenek Sofer, Martin Pykal, Michal Otyepka, Martin Pumera

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

The integration of nucleic acids with nanomaterials has attracted great attention from various research communities in search of new nanoscale tools for a range of applications, from electronics to biomedical uses. MXenes are a new class of multielement 2D materials baring exciting properties mostly directed to energy-related fields. These advanced materials are now beginning to enter the biomedical field given their biocompatibility, hydrophilicity and near-infrared absorption. Herein, we elucidate the interaction of MXene Ti3C2Tx with fluorophore-tagged DNA by fluorescence measurements and molecular dynamics simulations. The system showed potential for biosensing with unequivocal detection at picomole levels and single-base discrimination. We found that this material possesses a kinetically unique entrapment/release behavior, with potential implications in time-controlled biomolecule delivery. Our findings present MXenes as platforms for binding nucleic acids, contributing to their potential for hybridization-based biosensing and related bio-applications.

Original languageEnglish
Pages (from-to)10010-10017
Number of pages8
JournalChemical Science
Volume10
Issue number43
DOIs
Publication statusPublished - 2019

Bibliographical note

Funding Information:
M. P. acknowledges the nancial support of Grant Agency of the Czech Republic (EXPRO: 19-26896X). C. L. M. P. acknowledges the nancial support of the European Union's Horizon 2020 Research and Innovation Programme under the Marie Skłodowska-Curie Actions IF grant agreement no. 795347. Special thanks to F. M. for graphical design insight. Z. S. was supported by the, specic university research (MSMT no. 20-SVV/2018) and the Neuron Foundation for science support. M. O. acknowledges ERC Consolidator project (from H2020) 683024.

All Science Journal Classification (ASJC) codes

  • Chemistry(all)

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