AI Article Synopsis

  • This study introduces a novel biosensor using a nanocomposite made of multiwalled carbon nanotubes and zinc nanoparticles to detect the agricultural pathogen Chili leaf curl betasatellite (ChLCB).
  • The nanocomposite facilitates the immobilization of probe DNA strands, allowing for sensitive electrochemical detection through hybridization, which translates binding events into measurable signals.
  • The biosensor demonstrated a high specificity for the target DNA, being three times more effective than for non-complementary DNA, and has potential applications for detecting other plant viruses and biomolecules.

Article Abstract

The emergence of nanotechnology has opened new horizons for constructing efficient recognition interfaces. This is the first report where the potential of a multiwalled carbon nanotube based zinc nanocomposite (MWCNTs-Zn NPs) investigated for the detection of an agricultural pathogen i.e. Chili leaf curl betasatellite (ChLCB). Atomic force microscope analyses revealed the presence of multiwalled carbon nanotubes (MWCNTs) having a diameter of 50-100nm with zinc nanoparticles (Zn-NPs) of 25-500nm. In this system, these bunches of Zn-NPs anchored along the whole lengths of MWCNTs were used for the immobilization of probe DNA strands. The electrochemical performance of DNA biosensor was assessed in the absence and presence of the complementary DNA during cyclic and differential pulse voltammetry scans. Target binding events occurring on the interface surface patterned with single-stranded DNA was quantitatively translated into electrochemical signals due to hybridization process. In the presence of complementary target DNA, as the result of duplex formation, there was a decrease in the peak current from 1.89×10 to 5.84×10A. The specificity of this electrochemical DNA biosensor was found to be three times as compared to non-complementary DNA. This material structuring technique can be extended to design interfaces for the recognition of the other plant viruses and biomolecules.

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http://dx.doi.org/10.1016/j.jviromet.2017.09.004DOI Listing

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