Laser Spark Pathogen Detection in Complex Matrices
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Solution Overview
Problem
Current methods for detecting pathogens and chemicals in complex matrices, such as blood or food, are time-consuming, require skilled personnel, and involve complex sample preparation, limiting rapid on-site diagnosis and food safety assurance.
Innovation Solution
A laser-induced breakdown spectroscopy (LIBS) system that uses multivariate and statistical analysis to generate predictive models for rapid detection of pathogens and chemicals, employing a pulsed laser to create spectra from samples, which are then analyzed using automated algorithms to determine the presence and likelihood of pathogens or chemicals without the need for a spectral library or elemental markers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional pathogen detection methods are used, then detection accuracy can be maintained, but detection time is extended to up to 72 hours and requires complex sample preparation
Solution Approach 1:
The invention extracts and analyzes specific spectral features from LIBS spectra that are characteristic of pathogens, separating the detection process from time-consuming traditional culture methods. By focusing on key spectral markers rather than full pathogen cultivation, the system achieves rapid detection within minutes while maintaining accuracy.
Solution Approach 2:
The invention replaces the mechanical/biological process of pathogen cultivation with a spectroscopic analysis system. Instead of allowing pathogens to grow in culture media for days, the system uses laser-induced breakdown spectroscopy to detect pathogen-specific spectral signatures directly from the sample, substituting a physical measurement process for a biological growth process.
2Ease of operation
If traditional detection methods are used, then comprehensive pathogen analysis is possible, but skilled personnel and complex sample preparation are required
Solution Approach 1:
The system incorporates automated spectral preprocessing and analysis algorithms that automatically correct for variations in laser energy, plasma conditions, and matrix effects. The multivariate analysis models self-adjust to account for different sample types and conditions, eliminating the need for operators to manually optimize parameters or perform complex sample preparation procedures.
Solution Approach 2:
The invention transforms the detection problem from requiring complex sample preparation to accepting minimally prepared samples. By using LIBS technology that can analyze samples in various states and employing robust multivariate analysis that compensates for matrix effects, the system changes the sample requirements from strict to flexible, greatly simplifying operation.
3Productivity
If LIBS with multivariate analysis is used, then detection speed is improved, but analysis of complex matrices requires robust statistical models
Solution Approach 1:
The invention employs pre-built multivariate analysis models and spectral libraries that are developed beforehand using training datasets. These pre-established models contain the knowledge needed to interpret complex spectral patterns, so when actual samples are analyzed, the system can rapidly compare against predetermined patterns without performing complex analysis in real-time, maintaining both speed and accuracy.
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, real-time detection of multiple pathogens and chemicals in complex matrices with minimal sample preparation, providing results within minutes and allowing for on-site analysis without requiring highly skilled operators, thus enhancing infection control and food safety.
Implementation Method 1
the use of a laser-spark as is used in Laser-Induced Breakdown Spectroscopy (LIBS) shows great promise as a diagnostic tool
Implementation Method 2
a laser pulse is used to simultaneously vaporize a small sample mass and excite the resulting atoms to emit light via formation of a hot plasma on the sample surface
Data Source
AI summary
An apparatus (and concomitant method) for rapid detection of a plurality of pathogens and/or chemicals, comprising a laser generating laser-induced breakdown spectra from a sample inserted into the apparatus, a receiver recording the spectra, and a data analysis component acquiring the spectra from the receiver and a display and/or data storage component displaying and/or receiving from the data analysis component which pathogens and/or chemicals are present in the sample and/or the likelihood of such presence, wherein the data analysis component comprises: predictive models for the plurality of pathogens and/or chemicals, a queue to order automated analysis by the predictive models in a predetermined order, and statistical analysis models for each of the predictive models to automatically provide likelihoods of presence of the respective pathogens and/or chemicals.