Portable Vegetable Matrix Analyzer Using LED Spectroscopy
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Solution Overview
Problem
Current optical instruments for monitoring vegetable matrices are expensive, complex, and difficult to use, lacking cost-effective solutions for real-time, field-based analysis across the agri-food chain, particularly during critical stages like harvest and storage.
Innovation Solution
A portable, low-cost device using visible and near-infrared spectroscopy with MEMS sensors and LEDs for spectral measurement, allowing easy operation by users with minimal experience, featuring reduced power consumption and remote firmware updates, enabling real-time analysis of chemical-physical parameters like maturation, water content, and phytosanitary status.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional laboratory optical instruments are used for analysing vegetable matrices, then measurement precision is improved, but device complexity and cost increase, making them unsuitable for field use
Solution Approach 1:
The patent employs low-cost optical components including LEDs as light sources and simple photodetectors instead of expensive laboratory-grade spectrometers. The device uses affordable microcontroller units for data processing, making the overall system cost-effective for widespread field deployment while maintaining sufficient measurement precision for agricultural quality control applications
Solution Approach 2:
The invention extracts only the essential functional elements needed for optical analysis, eliminating complex laboratory instrument components. The system uses a minimal set of optical components (LEDs, photodetectors, simple lenses) focused specifically on measuring key quality parameters of vegetable matrices, removing unnecessary complexity while preserving measurement capability
2Measurement precision
If complex multivariate analysis techniques are applied to process spectral data, then measurement precision is improved, but ease of operation deteriorates due to requiring statistical knowledge
Solution Approach 1:
The device incorporates pre-loaded lookup tables and automated processing algorithms that perform complex spectral analysis without requiring user expertise in statistics or chemometrics. The microcontroller automatically converts raw spectral data into meaningful quality parameters using embedded calibration data, making the device self-sufficient and easy to operate for end users
Solution Approach 2:
The system performs preliminary calibration and data processing准备工作 during device setup or manufacturing. Reference spectral data and calibration models are pre-established, allowing the device to automatically process field measurements without requiring users to perform complex statistical analysis or interpret raw spectra
3Reliability
If laboratory optical instruments are used, then reliability of analysis is improved, but portability deteriorates due to size and power consumption
Solution Approach 1:
The patent replaces heavy mechanical laboratory instrument components with solid-state electronic components. Instead of using bulky monochromators, gratings, and complex optical benches, the system uses electronic spectral scanning with LEDs and digital signal processing, dramatically reducing weight while maintaining analysis reliability through consistent electronic control
4Productivity
If extensive controls are conducted throughout the agri-food chain, then productivity is improved through better quality monitoring, but loss of time increases due to complex measurement procedures
Solution Approach 1:
The device uses periodic LED illumination with different wavelengths to rapidly acquire spectral information. The system employs time-multiplexed measurement of multiple quality parameters by sequentially activating different LED wavelengths and capturing reflectance data, enabling comprehensive analysis in quick succession rather than requiring separate measurements for each parameter
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 device provides reliable, easy-to-use, real-time monitoring of vegetable matrices throughout the agri-food chain, from field to consumer, with reduced power consumption and simplified data processing, overcoming the limitations of existing instruments by offering a cost-effective and user-friendly solution for critical stages.
Implementation Method 1
the spectral measurement of optical data in a given wavelength range of the vegetable matrix VM so as to acquire optical reflectance OR data of the surface of the vegetable matrix VM
Implementation Method 2
acquire optical reflectance OR data of the surface of the vegetable matrix VM
Implementation Method 3
at least one light source 20 configured to generate an optical beam
Data Source
Figure 1~3
Figure 4
AI summary
The present invention describes a portable device (1) for analysing vegetable matrices (VM) in the field comprising a support body (2) with an element (3a, 3b) configured to completely embrace a vegetable matrix (VM), a measurement element (10) configured for a spectral measurement, in a given wavelength range, of the vegetable matrix (VM) so as to acquire optical reflectance (OR) data of the surface of the vegetable matrix (VM), an electrical power source configured to power the various elements of the device, a processing unit associated with the device and configured to receive the optical reflectance (OR) data acquired by the measurement element (10) and generating a signal representative of at least one characteristic chemical-physical parameter (Pi) of the vegetable matrix (VM) or generating a classification of the analysed vegetable matrix (VM) on the basis of classes.