SERS Nanoparticle Analyte Detection System
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Solution Overview
Problem
Current methods for detecting and quantifying analytes in fluids, such as those used in sepsis diagnosis, are time-consuming, expensive, and often require large sample volumes, with existing techniques like microbial culture taking 24-72 hours and immunological or nucleic acid tests being costly and monoplex, while also contributing to antibiotic resistance due to broad-spectrum antibiotic use.
Innovation Solution
A method utilizing surface-enhanced Raman scattering (SERS) with nanoparticles that aggregate on analytes, forming narrow inter-nanoparticle gaps to enhance Raman signals, allowing for fast, label-free, multiplexed detection and quantification of analytes in large fluid samples, including blood, using unprotected nanoparticles functionalized with selective ligands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If microbial culture methods are used for analyte detection, then detection accuracy is improved, but detection time increases to 24-72 hours
Solution Approach 1:
The patent replaces traditional mechanical/cultural detection methods with surface-enhanced Raman scattering (SERS) spectroscopy, an optical detection method. Nanoparticles functionalized with selective ligands are used to bind target analytes, and SERS signal enhancement occurs at the nanoparticle-analyte interface, enabling rapid detection within minutes rather than days while maintaining high accuracy through spectral fingerprinting of analytes
Solution Approach 2:
The patent changes the detection parameter from time-intensive cultural growth methods to instantaneous optical signal detection. By utilizing the SERS effect where electromagnetic fields are enhanced at nanoparticle gaps, the system transforms the detection mechanism to measure optical properties (Raman scattering intensity and spectral patterns) rather than waiting for biological growth, achieving both speed and precision
2Productivity
If immunological or nucleic acid tests are used, then detection speed is improved, but cost increases and multiplexing capability is reduced
Solution Approach 1:
The patent implements a universal detection platform where a single SERS-based system can detect multiple different analytes simultaneously through multiplexing. Different nanoparticles are functionalized with various selective ligands (antibodies, aptamers, or peptides) that bind to different target analytes. Each analyte-nanoparticle complex produces a distinct SERS spectral fingerprint, allowing parallel detection of multiple pathogens or biomarkers in a single assay without requiring separate tests for each analyte
Solution Approach 2:
The patent uses SERS spectral fingerprints as unique identifiers for different analytes, creating a library of reference spectra that can be matched against experimental data. This spectral copying approach allows the system to identify multiple analytes simultaneously by comparing their characteristic Raman spectra, reducing the need for multiple separate immunological or nucleic acid tests and lowering overall detection costs
3Reliability
If broad-spectrum antibiotics are used for treatment, then treatment effectiveness is improved, but antibiotic resistance increases
Solution Approach 1:
The patent enables the diagnostic system to identify specific pathogen types and their antibiotic susceptibility profiles, allowing clinicians to prescribe targeted narrow-spectrum antibiotics rather than empirical broad-spectrum coverage. This precision medicine approach lets the treatment plan be self-optimized based on the actual pathogen identified, improving effectiveness while minimizing resistance development by avoiding unnecessary broad-spectrum antibiotic use
4Measurement precision
If large sample volumes are processed by traditional methods, then detection sensitivity is improved, but sample processing complexity increases
Solution Approach 1:
The patent extracts and concentrates the target analyte signal by functionalizing nanoparticles with selective ligands that specifically bind to the analyte of interest. The SERS-active nanoparticles are designed to accumulate at the analyte surface, extracting the detection signal from the bulk sample matrix. This enrichment approach maintains high sensitivity even with smaller sample volumes by concentrating the analyte-nanoparticle complexes in the detection zone, reducing the need to process large volumes and simplifying sample preparation
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
Enables rapid, accurate, and inexpensive identification and quantification of analytes in real-time, reducing the need for extensive sample processing and minimizing antibiotic misuse, with the ability to screen large volumes of fluid samples efficiently.
Implementation Method 1
subjecting a fluid mixture of the fluid sample and the plurality of nanoparticles to SERS; measuring at least a SERS signal associated with the fluid mixture; recognizing at least one defined SERS spectrum of the nanoparticle-analyte complex, through a SERS signal enhanced by the at least one narrow inter-nanoparticle gap
Implementation Method 2
the aggregation promoting the concentration of the nanoparticles on the surface of the target analyte and thus a plasmon coupling in between the nanoparticles through the generation of narrow inter-nanoparticle gaps
Data Source
Figure 1A~1C
Figure 1D
Figure 2A~2C
AI summary
A method and a system for detection of presence or absence of analytes in fluids, the method comprising the steps of: a) contacting a fluid sample and a plurality of nanoparticles, the nanoparticles being functionalized with a selective ligand, the contact of the fluid sample with the nanoparticles being under conditions such that, the nanoparticles aggregate selectively on surface of their target analyte, forming a nanoparticle-analyte complex, the aggregation promoting the concentration of the nanoparticles on the surface of the target analyte; b) subjecting a fluid mixture of the fluid sample and the plurality of nanoparticles to SERS; c) measuring at least a SERS signal associated with the fluid mixture; d) spectrally analysing the at least one SERS signal of step c); e) recognizing at least one defined SERS spectrum of the nanoparticle-analyte complex, through a SERS signal enhanced by the at least one narrow inter-nanoparticle gap.