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US 2025/0093338 A1Published application
Methods and systems for rapid detection of analytes
OwnerYiping Zhao, Ralph A. Tripp +3inventors
InventorsYiping Zhao, Ralph A. Tripp, Yanjun Yang, XianYan Chen, Hemant K. Naikare
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Abstract
The present disclosure provides for surface-enhanced Raman spectroscopy (SERS) systems and methods for detecting, analyzing, and/or quantifying biomolecules or biological agents using SERS systems and a neural network model. The biological agent can be a virus, such as a coronavirus (e.g., SARS-CoV-2 or a variant thereof).
Claims20
A method for detecting the presence of a biological agent comprising:
- disposing a sample onto a surface enhanced Raman spectroscopy (SERS) detecting module, wherein the SERS detecting module comprises a substrate having an array of nanorods on a surface of the substrate, wherein the tilt angle (p) between an individual nanorod and the surface is about 0° to about 90°;
- measuring at least one SERS spectrum;
- and
- providing the SERS spectrum to a first recurrent neural network (RNN) model trained to detect the presence or absence of a biological agent in the sample.
1 more element
A system for detecting the presence of a biological agent comprising:
- a SERS detecting module having the characteristic of being able to receive a sample, wherein the SERS detecting module comprises a substrate having an array of nanorods on a surface of the substrate, wherein the tilt angle (p) between an individual nanorod and the surface is about 0° to about 90°;
- a light source that is directed towards the substrate;
- a SERS detection system to measure at least one surface enhanced Raman spectroscopy (SERS) spectrum;
- and
- an analysis system configured to receive the SERS spectrum, wherein the analysis system includes a first recurrent neural network (RNN) model trained to detect the presence or absence of a biological agent in the sample and a second RNN model trained to quantify the amount of biological agent present.
2 more elements
Dependencies are inferred from the claim text.