MicroRNAs (miRNAs) have increasingly become an important biomarker target for applications ranging from clinical diagnostics to biofuel production monitoring. However, the current state of the art for the detection of such markers requires tedious processing and amplification techniques such as polymerase chain reaction (PCR). In an effort to create a relatively simple biosensing platform, we have developed a combined plasmonic biosensing method based on a Surface-Enhanced Raman Spectroscopy (SERS) platform called the inverse Molecular Sentinel (iMS) to directly detect in vivo miRNA such as miR858a. With Shifted Excitation Raman Difference Spectroscopy (SERDS), we can remotely detect these targets in the field in the presence of interfering background signal. The application of such technology can pave the way not just for biofuel monitoring but early and non-invasive disease detection and diagnostics.
Plant biotechnology and biofuel research is critical in addressing increasing global demands for energy. Further understanding of biomass producing associated metabolic pathways in plants can be used to exploit and increase the production of biomass for energy purposes. In vivo detection of biomarkers associated with plant growth for bioenergy has proved to be limited due to complex sample preparation required by traditional methods. In addition, genetic transformation and biomolecule monitoring inside plant cells is regulated by diameter and size exclusion limits of the plant cell wall (5 - 20 nm). Currently limited methods exist for enabling direct entry into plant cells. Moreover, these methods, such as biolistic particle delivery and electroporation use mechanical force that causes damages to the plant tissue. Nanoparticles could serve as promising platforms for probes to characterize intercellular and intracellular plant biomarkers and pathways. Bi-metallic nanostars are a plasmonics-active nanoplatform capable of high surface-enhanced Raman scattering (SERS) which can enter plant cells and have the future potential for nucleic acid sensing. Imaging technologies such as SERS mapping, confocal imaging, X-ray fluorescence imaging, multi-photon imaging, and transmission electron microscopy have been utilized to determine the compartmentalization and location of the SERS iMS biosensors inside Arabidopsis plants.
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