Journal
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
Volume 12, Issue -, Pages 727-738Publisher
ELSEVIER
DOI: 10.1016/j.jmrt.2021.03.005
Keywords
Graphene oxide interface; Nanohybrid; Microchip; DNA; Virus
Funding
- Higher Education Commission (HEC) of Pakistan [NRPU 6117, NRPU 6116]
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The study presents novel microchip-based electronic devices for efficient and sensitive detection of a predominant cotton infecting virus worldwide. The three-dimensional copper nanostructures reinforced graphene nanohybrid is developed via a biological synthesis approach, providing a successful interface for anchoring virus DNA probes. This research suggests the potential of nanotechnology-based microchips for designing benchmark interfaces for monitoring agricultural pathogens and bio-threats.
The development of portable and sensitive biosensors for the label-free detection of DNA has influenced fundamental biological research as well as advanced applications. Here, we report the novel microchip-based electronic devices for the efficient and sensitive detection of a crop virus i.e. Cotton leaf curl Khokran virus-Burewala strain (CLCuKoV-Bur), predominant cotton infecting virus worldwide. Three-dimensional copper nanostructures reinforced graphene nanohybrid (Cu Ns@GO) is developed via a biological synthesis approach. The hybrid consists of the typical graphene sheets, embellished with copper nanoparticles of 10-15 nm, to impart conducting and metallic character. This nanohybrid is applied as the active interface of microchips, and the surface charge of +38 mV enables successful anchoring of virus DNA as a probe to the interface. The hybridization events are manipulated as the change in the electron transport between sheets of graphene, leading to a corresponding decrease in conductance of the devices. Termed as Cu Ns@GO-microchip, the devices can detect the presence of viral DNA down to the detection limit of 200 pM. We further investigate specificity patterns and the non-complementary DNAs i.e. Cotton leaf curl Multan betasatellite, Cotton leaf curl Multan alphasatellite, and Maize insect resistance1-cystein protease genes show a negligible response generating only 10-20% of the signal. We apply this strategy to the virus-infected cotton field samples and using the devices, the level of virus infectivity can be discerned. This study suggests the potential of nanotechnology-based microchips for designing benchmark recognition interfaces, for the direct and facile monitoring of agricultural pathogens and other bio-threats. (C) 2021 The Authors. Published by Elsevier B.V.
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