Magnetic Resonance Diffusion Weighted Imaging for Non-Destructive Fruit Sweetness Detection
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Solution Overview
Problem
Current methods for detecting fruit sweetness, such as destructive chemical detection and non-destructive near-infrared spectroscopy, are inadequate as they either result in fruit loss, cannot detect sweetness in thick-skinned or larger fruits, and fail to meet high-speed detection requirements.
Innovation Solution
A method utilizing magnetic resonance diffusion weighted imaging (DWI) to non-destructively acquire apparent diffusion coefficients of fruits, determining an effective apparent diffusion coefficient, and establishing a sweetness detection model to correlate sweetness with these coefficients, allowing for accurate and high-speed detection of fruit sweetness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If destructive chemical detection is used, then sweetness detection accuracy is improved, but fruit loss occurs and large-scale detection cannot be achieved
Solution Approach 1:
The patent replaces the mechanical/chemical destruction method with a magnetic resonance imaging system that uses magnetic fields and radio waves to detect sweetness non-destructively. The MRI system acquires diffusion-weighted images and calculates apparent diffusion coefficients to determine sweetness, eliminating the need to physically destroy or chemically process the fruit.
2Loss of substance
If near-infrared spectroscopy is used, then non-destructive detection is achieved, but only pulp within 5 mm from the peel can be detected
Solution Approach 1:
The patent transitions from surface-level near-infrared spectroscopy to volumetric magnetic resonance imaging. The MRI system captures diffusion-weighted images from multiple angles and reconstructs three-dimensional apparent diffusion coefficient maps, enabling detection throughout the entire fruit volume rather than仅限于 a 5mm surface layer.
3Measurement precision
If near-infrared spectroscopy is used, then non-destructive detection is achieved, but conveyor belt must run at low speed for high detection quality
Solution Approach 1:
The patent implements a continuous scanning MRI system that can acquire diffusion-weighted images rapidly along the conveyor belt movement. The system maintains high detection quality while allowing the conveyor to run at higher speeds by continuously acquiring data points and reconstructing sweetness information in real-time, eliminating the need for slow, discrete measurements.
4Productivity
If conventional methods are used, then detection can be performed, but multiple fruits cannot be detected simultaneously
Solution Approach 1:
The patent designs an MRI detection system with a multi-position sample holder that can accommodate multiple fruits simultaneously. The system acquires diffusion-weighted images for all fruits in parallel and processes the data to generate sweetness maps for each fruit, enabling high-throughput detection without compromising measurement precision through sequential processing.
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 non-destructive, reliable, and efficient detection of fruit sweetness, capable of handling multiple fruits simultaneously without causing loss, and overcoming limitations of existing methods.
Implementation Method 1
nondestructively acquiring apparent diffusion coefficients of the fruit to be detected by means of magnetic resonance diffusion weighted imaging (DWI)
Data Source
AI summary
A method (100), a device (400), and a system for detecting the sweetness of fruit, and a storage medium. The method (100) comprises: using magnetic resonance diffusion weighted imaging to acquire an apparent diffusion coefficient (ADC) of fruit to be detected when same is undamaged (S110); determining an effective ADC of said fruit according to the ADC of said fruit (S120); and determining the sweetness of said fruit according to the effective ADC (S130). The ADC of fruit to be detected may be acquired on the basis of magnetic resonance imaging when said fruit is undamaged, and the ADC is used to determine the sweetness of the fruit, thus achieving non-destructive and reliable fruit sweetness detection.