2022
DOI: 10.1002/jbio.202200277
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Dendric nanostructures for SARS‐CoV‐2 proteins detection based on surface enhanced infrared absorption spectroscopy

Abstract: Infrared spectroscopy is a non‐destructive and rapid characterization tool that can distinguish different viral proteins by spectral details. However, traditional infrared spectroscopy has insufficient absorption signal intensity contrast when measuring low‐concentration samples. In this work, surface enhanced infrared absorption (SEIRA) spectroscopy is proposed by deploying a novel nanostructure array as SEIRA substrates. An array of gold dendric nanostructures are designed and fabricated with a precision res… Show more

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Cited by 3 publications
(2 citation statements)
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“…Many nanostructures have been proposed, including zig-zag nanotips, nanorods, nanodiscs, nanoislands, etc. [13][14][15][16][17][18][19][20][21] Here, we demonstrate a multi-well SEIRA sensor chip based on metallic nanorod structures featuring a broad-band multiband resonance. The structures are specifically designed so that the resonances coincide with the absorption fingerprint regions of the target miRNA biomarkers, hence maximizing the light interaction with the biomarker molecules and collected SEIRA signals.…”
Section: Introductionmentioning
confidence: 95%
See 1 more Smart Citation
“…Many nanostructures have been proposed, including zig-zag nanotips, nanorods, nanodiscs, nanoislands, etc. [13][14][15][16][17][18][19][20][21] Here, we demonstrate a multi-well SEIRA sensor chip based on metallic nanorod structures featuring a broad-band multiband resonance. The structures are specifically designed so that the resonances coincide with the absorption fingerprint regions of the target miRNA biomarkers, hence maximizing the light interaction with the biomarker molecules and collected SEIRA signals.…”
Section: Introductionmentioning
confidence: 95%
“…Many nanostructures have been proposed, including zig-zag nanotips, nanorods, nanodiscs, nanoislands, etc. 13–21…”
Section: Introductionmentioning
confidence: 99%