SERS Substrate Nanofiber Grid for Virus Detection
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Solution Overview
Problem
Existing SERS technologies face challenges in sensitivity, intensity-concentration dependence, and selectivity, particularly in detecting large analytes like viruses and filtering out unwanted smaller molecules.
Innovation Solution
A novel SERS-active substrate is developed, comprising a support with a first dielectric layer of nanofibers and noble metal particles. This substrate enhances detection efficiency by trapping large analytes in the nanofiber grids and filtering out smaller molecules, resulting in stronger peak intensities and unique SERS peaks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional SERS-active substrates are used for trace detection, then detection capability is provided, but sensitivity and selectivity are insufficient and intensity-concentration dependence is poor
Solution Approach 1:
The patent applies local quality by creating nanofiber grids with specific dimensional characteristics (width, spacing, orientation) that are optimized for trapping large analytes like viruses. The nanofiber structure provides localized enhancement of electromagnetic fields at specific locations, creating hotspots that enhance SERS signal intensity for target analytes while maintaining selectivity through size-based trapping mechanisms.
Solution Approach 2:
The patent uses composite materials by combining dielectric nanofibers (made from materials like SiO2, TiO2, Al2O3) with noble metal particles (Au, Ag, Cu). This composite structure integrates the trapping capability of dielectric nanofibers with the strong electromagnetic field enhancement properties of noble metals, achieving both sensitivity and selectivity in SERS detection.
2Measurement precision
If SERS sensors are functionalized with antibodies specific to a virus, then detection of that virus is achieved, but the sensor becomes unsuitable for identifying other kinds of viruses or mutants
Solution Approach 1:
The patent extracts the labeling function from the detection mechanism by using label-free SERS detection. Instead of requiring virus-specific antibodies or labels, the method directly detects viral proteins or components through their inherent Raman scattering signals enhanced by the nanofiber grid structure, enabling universal detection across different virus types.
Solution Approach 2:
The patent achieves universality by designing a generic nanofiber grid structure that can trap and enhance signals from various types of large analytes including different viruses, bacteria, and other biological substances. The physical trapping mechanism and electromagnetic field enhancement are independent of the specific analyte type, providing multi-functional detection capability.
3Ease of manufacture
If label-free method with substrate design is used, then detection without predefined labels is achieved, but sensitivity and intensity-concentration dependence remain challenging
Solution Approach 1:
The patent applies segmentation by dividing the substrate into a network of discrete nanofibers arranged in a grid pattern. This segmented structure creates numerous localized hotspots throughout the substrate surface, each capable of enhancing the SERS signal from trapped analytes. The segmentation increases the effective surface area for detection and improves signal intensity without requiring predefined labels.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The novel SERS-active substrate improves detection efficiency by enhancing peak intensities and providing unique SERS peaks, enabling effective detection of large analytes like viruses while filtering out unwanted smaller molecules.
Implementation Method 1
Surface-enhanced Raman spectroscopy (SERS) technology has shown significant progress and is often used as a suitable method for trace-level detection of target analytes
Implementation Method 2
When a sample comprising an analyte is applied onto the SERS-active substrate, the analyte may be trapped in the holes of the first grids or on the first grids
Data Source
AI summary
A method for detecting an analyte comprises the following steps: providing a SERS-active substrate and a Raman spectra database; applying a sample onto the SERS-active substrate; applying an incident light by a Raman spectrometer onto the SERS-active substrate to generate a Raman spectrum of the sample; and comparing the Raman spectrum of the sample with a Raman spectra database to identify an analyte in the sample. The SERS-active substrate comprises: a support; a first dielectric layer disposed on the support, wherein the first dielectric layer is formed by a plurality of first nanofibers; and a plurality of noble metal particles formed on the plurality of first nanofibers.