Non-labeled virus detection substrate, system, and method based on inverted multi-angular cavity arrays
AssigneeNational Cheng Kung University
InventorsJiunn-Der Liao, Chia-Wei Chang, Chih-Kai Yao
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Abstract
The present invention discloses a non-labeled virus detection substrate, system, and method based on inverted multi-angular cavity arrays. The virus detection substrate is used together with a Raman spectrometer for virus detection. The virus detection substrate has a metal layer disposed thereon, and inverted multi-angular cavities are formed in the metal layer. The cavities are arranged in a microarray. In order to detect the target, the size of the cavities should be adjusted first. Then, a laser with an optimized wavelength is applied to induce the effect of the surface enhanced Raman scattering.
Claims12
A virus detection substrate used together with a Raman spectrometer for virus detection and comprising a metal layer disposed thereon, wherein multiple cavities are formed in the metal layer and arranged in a microarray.
A virus detection system used to detect a virus sample, comprising:
- a virus detection substrate used to hold the virus sample and comprising a metal layer disposed thereon, wherein multiple cavities are formed in the metal layer and arranged in a microarray;
- a Raman spectrometer applying an incident laser onto the metal layer of the virus detection substrate to obtain a Raman scattering signal;
- and
- a receiver device used to receive the Raman scattering signal and output a Raman spectrum.
A method for detecting viruses, comprising the following steps:
- providing a virus detection substrate and a Raman spectra virus database, wherein the virus detection substrate comprises a metal layer disposed thereon and multiple cavities are formed in the metal layer and arranged in a microarray;
- dropping a virus sample onto the inner surface of the cavities of the virus detection substrate;
- applying an incident light by a Raman spectrometer onto the metal layer of the virus detection substrate to generate a Raman spectrum of the virus sample;
- and
- comparing the Raman spectrum of the virus sample with the Raman spectra virus database to identify the species of the virus sample.
Dependencies are inferred from the claim text.