Portable Multimodal Optical Sensing System for Food Safety Inspection
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Solution Overview
Problem
Current food safety inspection technologies lack the necessary accuracy, speed, and intelligence to effectively identify and classify foodborne pathogens like Salmonella, E. coli, and Listeria, especially in the context of the growing complexity of the global food supply chain, and existing commercial Raman systems are bulky and inflexible for field use.
Innovation Solution
A portable multimodal optical sensing system equipped with dual-band laser dispersive Raman techniques, embedded AI capabilities, and modular hardware components, including separate cameras and Raman laser sources, for automated and intelligent food safety inspection, capable of analyzing macro-scale samples and identifying bacterial or chemical contaminants.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If commercial Raman systems are used for food safety inspection, then measurement precision is improved, but device complexity and portability deteriorate
Solution Approach 1:
The system divides the Raman inspection capability into separate modular components: individual laser sources (785nm and 1064nm), separate spectrometers, and independent camera modules. Each component can be independently optimized and positioned, allowing the system to achieve commercial-grade precision while maintaining a compact, portable form factor that can be deployed in field settings.
Solution Approach 2:
The system integrates multiple sensing modalities (Raman spectroscopy, fluorescence imaging, and visible light imaging) into a single portable platform. The dual-laser configuration enables analysis of both low-fluorescence and high-fluorescence samples, while the interchangeable camera modules provide versatility for different sample types and inspection requirements, replacing multiple separate commercial systems with one multi-functional unit.
2Adaptability or versatility
If multiple sensing modalities are integrated, then adaptability is improved, but device complexity increases
Solution Approach 1:
The system combines Raman spectroscopy, fluorescence imaging, and visible light imaging capabilities into a single integrated platform. The shared optical path, common sample stage, and coordinated control system allow all modalities to operate simultaneously or sequentially on the same sample, providing comprehensive analysis coverage while avoiding the complexity of managing multiple separate instruments.
Solution Approach 2:
The system employs dynamic switching between different sensing modalities based on sample type and inspection requirements. The controller can selectively activate different laser sources, camera modules, and imaging modes in real-time, allowing the system to adapt its configuration rather than requiring all components to be permanently active, thus managing complexity through intelligent control.
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 system provides real-time identification of bacterial and chemical contaminants with high accuracy, is more flexible and versatile than commercial Raman systems, and is suitable for field and on-site inspections, enhancing food safety and quality control.
Implementation Method 1
dual-band laser dispersive Raman techniques
Implementation Method 2
at least two separate cameras
Implementation Method 3
multiple illumination sources, including at least a UV light and a sample backlight
Data Source
AI summary
The portable multimodal optical sensing system is an integrated system/tool for intelligent food safety inspection. The system includes a pair of lasers and corresponding spectrometers working at different wavelengths to enable an operator to obtain high-quality Raman scattering data from both low- and high-fluorescence food samples. By utilizing machine vision and motion control techniques, the system can conduct fully automated spectral data acquisition for randomly scattered samples that are deposited in Petri dishes or placed in customized well plates.