Potato Sorting Fluorescence Detection Single Laser Source
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Solution Overview
Problem
Existing potato sorting systems require multiple laser sources with different wavelengths and complex alignment, leading to high data processing demands and inability to detect certain flaws like solanine effectively.
Innovation Solution
A method using a single beam of light to detect flaws and solanine in potato products by analyzing fluorescence in specific wavelength bands, with a background element to enhance detection accuracy and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple laser sources with different wavelengths are used to detect various flaws, then the detection capability is improved, but the device complexity and data processing demand increase significantly
Solution Approach 1:
The patent uses a single laser source that serves multiple detection functions by detecting different fluorescence emissions from the same excitation source. The single laser beam excites both solanine (producing green fluorescence) and other potato components, allowing one device to detect multiple types of flaws without requiring separate laser sources for each wavelength.
Solution Approach 2:
The patent combines multiple detection functions into a single integrated system. Instead of having separate laser sources and detection systems for different wavelengths, the invention merges the detection of solanine and other flaws into one unified fluorescence detection system using a single laser source, thereby reducing device complexity while maintaining comprehensive detection capability.
2Measurement precision
If multiple laser sources with different wavelengths are used, then various flaws can be detected, but the alignment precision and operation difficulty increase
Solution Approach 1:
A single laser source performs multiple detection tasks simultaneously. The same laser beam detects both solanine fluorescence and other potato product flaws, eliminating the need for complex alignment between multiple laser sources while maintaining comprehensive detection accuracy.
3Device complexity
If a single beam of light is used, then the system complexity is reduced, but the detection precision for certain flaws like solanine may be insufficient
Solution Approach 1:
The patent detects solanine by identifying its characteristic green fluorescence emission when excited by the laser. The detection system analyzes the specific wavelength and intensity of the fluorescence signal to distinguish solanine from other potato components, achieving accurate solanine detection with a single laser source through spectral analysis rather than requiring multiple wavelengths.
4Measurement precision
If multiple detectors and diaphragms are provided for different wavelengths, then comprehensive flaw detection is achieved, but the data processing load increases hugely
Solution Approach 1:
A single detector system processes fluorescence signals from a single laser source, significantly reducing the data processing load compared to multiple detectors handling multiple wavelengths. The system achieves comprehensive detection by analyzing the fluorescence spectrum and intensity patterns from the unified detection channel.
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 accurate detection of flaws and solanine with a high degree of precision using a single light source, reducing system complexity and improving sorting accuracy.
Implementation Method 1
the presence of glycoalkaloid, in particular of solanine, in said potato products is detected by detecting fluorescence, resulting from the incidence of said beam of light on the products in a red light spectrum
Implementation Method 2
The background element will hereby emit light having a wave length which corresponds to said detection band when said beam of light strikes the latter
Data Source
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AI summary
A method and a device for detecting the presence of glycoalkaloid, in particular solanine, in a product flow of potato products by making a beam of light with a wave length situated in a band of 350 to 450 nm strike these products and by detecting the presence of fluorescence in a red light spectrum, whereby a product will be qualified as a product containing glycoalkaloid when said intensity is higher than a preset value.