SLISA Toxin Detection Using Yeast Stress Proteins
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Solution Overview
Problem
Current methods for detecting chemical and biological toxins are time-consuming, costly, and require sophisticated laboratory settings, limiting their effectiveness for rapid and on-site detection of both known and unknown toxins, especially in resource-limited settings.
Innovation Solution
A yeast-based, label-free, surface-enhanced Raman spectroscopy (SERS)-linked immunosensor assay (SLISA) that uses silver nanoparticles and bifunctional linker molecules to detect cellular stress proteins, providing a portable, rapid, and accurate means for identifying toxins without the need for labels or extensive training.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sophisticated analytical chemistry techniques (mass-spectroscopy, chromatography) are used for toxin detection, then measurement precision and reliability are improved, but device complexity, cost, and time consumption increase significantly
Solution Approach 1:
The patent replaces complex mechanical and chemical analytical systems (mass spectrometry, chromatography) with a biological sensing system using engineered yeast cells. The yeast cells serve as living sensors that detect toxins through biochemical responses, eliminating the need for sophisticated laboratory instruments while maintaining detection accuracy.
Solution Approach 2:
The engineered yeast cells perform self-detection of toxins through their natural stress response mechanisms. When exposed to toxins, the yeast cells automatically activate stress proteins and cellular responses that indicate toxin presence, eliminating the need for complex external detection equipment and trained technicians.
2Measurement precision
If label-based biosensor technologies (ELISA, FRET) are used for toxin detection, then measurement precision is improved, but device complexity and cost increase due to required labels and conjugation procedures
Solution Approach 1:
The patent extracts and eliminates the label component from traditional biosensor systems. Instead of using fluorescent or enzymatic labels to detect analytes, the invention directly measures cellular responses (stress protein expression, metabolic changes) in engineered yeast cells, simplifying the system while maintaining measurement precision.
3Measurement precision
If mammalian cells are used in CANARY technology for pathogen detection, then measurement precision is improved, but duration of action decreases due to short shelf-life of 3 days
Solution Approach 1:
The patent changes the biological parameter of the sensor organism from mammalian cells to engineered yeast cells. This parameter change fundamentally alters the shelf-life characteristic, extending it from 3 days to significantly longer periods, while maintaining or improving detection precision through genetic engineering of stress response pathways.
4Duration of action of stationary object
If yeast cells are used instead of mammalian cells in biosensors, then duration of action is improved with longer shelf-life, but measurement precision may be compromised
Solution Approach 1:
The yeast cells are pre-engineered with specific genetic modifications that enable them to detect multiple toxin classes. Stress response pathways are pre-configured through genetic engineering, allowing the cells to immediately respond to toxin exposure without requiring complex preparation, thus maintaining precision while extending shelf-life.
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 SLISA offers high accuracy and long shelf-life, enabling direct and ultrasensitive detection of toxins in resource-limited settings, outperforming traditional methods by providing rapid, inexpensive, and effective detection of both known and unknown toxins, while maintaining the sensitivity and specificity of traditional techniques.
Implementation Method 1
Surface-Enhanced Raman Scattering (SERS) is the best alternative to currently used sensor technologies for monitoring of toxins. The SERS technique is a sensitive and specific tool providing label-free detection of molecules at very low concentrations
Implementation Method 2
Upon excitation of the metal nanoparticle substrates by visible light, collective electron oscillations inside the nanoparticles (called localized surface plasmon resonance, LSPR) occur, creating an evanescent wave
Implementation Method 3
The SERS effect is based on the optical properties of metal nanoparticle substrates. Upon excitation of the metal nanoparticle substrates by visible light, collective electron oscillations inside the nanoparticles occur
Implementation Method 4
SERS-linked immunosensors, which are to be contacted with the cells, the immunosensors comprising: i. a metallic core; ii. linker molecules connecting the metallic core to iii. antibodies to at least one cellular biomolecule
Data Source
AI summary
The subject invention provides methods and means to detect incidents of accidental or intentional release of chemical and biological toxins into the environment by measuring cellular stress-induced proteins in eukaryotic cells exposed to environmental samples suspected of containing chemical or biological toxins using a highly sensitive on-chip surface-enhanced Raman spectroscopy (SERS)-linked immunosensors assay allowing robust, fast, and reliable in-the-field global sensing of environmental threats in resource-limited settings.