Dual-Channel Fluorescence Pathogen Detection System
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Solution Overview
Problem
Conventional methods for detecting food-borne pathogens in food samples are time-consuming, leading to delays that can result in spoilage and undesirable changes in food quality, and lack the ability to differentiate between live and dead pathogens effectively.
Innovation Solution
A method involving the use of capture particles functionalized with molecular recognition elements to capture pathogens, followed by staining with fluorescent dyes that emit at different wavelengths to distinguish live from dead pathogens, combined with scanning electron microscopy and artificial intelligence for enhanced detection and analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional PCR techniques are used for pathogen detection, then detection accuracy and sensitivity are improved, but detection time increases significantly (24-48 hours delay)
Solution Approach 1:
The detection process is segmented into distinct functional modules: sample preparation module, capture particle incubation module, fluorescent staining module, and dual-channel fluorescence detection module. Each module performs a specific function independently, allowing parallel processing and reducing overall detection time while maintaining accuracy through specialized optimization of each segment.
Solution Approach 2:
Capture particles functionalized with molecular recognition elements are prepared in advance and pre-incubated with the sample to capture target pathogens before formal detection begins. This preliminary capture step concentrates the pathogen signal early in the process, enabling faster subsequent detection without sacrificing sensitivity.
2Ease of operation
If conventional single-channel fluorescence detection is used, then detection simplicity is maintained, but the ability to differentiate live from dead pathogens is lost
Solution Approach 1:
Different regions of the sample are stained with different fluorescent dyes that emit at distinct wavelengths: live pathogens are stained with a first fluorescent dye (e.g., green-emitting), while dead pathogens are stained with a second fluorescent dye (e.g., red-emitting). This local differentiation allows simultaneous detection of both viable and non-viable pathogens using dual-channel fluorescence microscopy, providing comprehensive viability information without complicating the overall detection workflow.
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
This approach allows for rapid and accurate differentiation of live and dead pathogens, reducing the time required for detection and improving the confidence in pathogen identification, enabling quicker food safety assurance.
Implementation Method 1
exposing the captured pathogen particles to at least two fluorescent dyes, which emit fluorescent radiation at two different wavelengths in response to excitation
Implementation Method 2
mixing at least a portion of the sample with a plurality of capture particles functionalized with a molecular recognition element exhibiting specific binding to said pathogen
Data Source
AI summary
A method of detecting a pathogen in a sample, comprising: mixing at least a portion of the sample with a plurality of capture particles functionalized with a molecular recognition element exhibiting specific binding to said pathogen to capture at least a portion of pathogen particles when present in the sample; exposing said captured pathogen particles to at least two fluorescent dyes, which emit fluorescent radiation at two different wavelengths in response to excitation, such that live pathogen particles among said captured pathogen particles are preferentially stained with one of the dyes and dead pathogen particles among said captured pathogen particles are preferentially stained with the other dye; irradiating the captured stained pathogen particles with excitation radiation to excite said fluorescent dyes; and detecting fluorescent radiation emitted by said excited fluorescent dyes; and distinguishing said live pathogen particles from said dead pathogen particles based on wavelengths of the detected fluorescent radiation.