Red Pepper Powder Spectroscopy for Real-Time Pungency Control
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Solution Overview
Problem
Current methods for monitoring the quality of red pepper powder, such as spicy level and particle size, are inadequate for real-time control in the manufacturing process due to time-consuming analysis and inaccuracies in spectroscopic measurements, particularly due to varying particle sizes and moisture content.
Innovation Solution
A method and system using spectroscopic image data to estimate particle size, moisture content, and spicy level in real-time during the manufacturing process, correcting for these factors to predict the final quality of mixed red pepper powder, and adjusting input amounts based on target quality settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional content measurement methods (HPLC, GC/MS) are used to measure capsaicinoid content, then measurement accuracy is improved, but analysis time increases significantly (several days or hours)
Solution Approach 1:
The patent replaces conventional mechanical/chemical measurement systems (HPLC, GC/MS) with a spectroscopic imaging system that uses light interaction to measure capsaicinoid content. The system captures hyperspectral images and uses chemometric analysis to determine pungency levels, eliminating the need for time-consuming sample preparation and chemical analysis while maintaining measurement accuracy.
Solution Approach 2:
The patent creates a spectral fingerprint copy of the red pepper powder sample using hyperspectral imaging. Instead of physically analyzing the sample through destructive methods, the system creates a spectral signature that can be analyzed instantly to determine capsaicinoid content, enabling rapid quality assessment without consuming the sample or requiring lengthy processing.
2Productivity
If spectroscopic image analysis is used to measure pungency, then analysis speed is improved, but measurement accuracy deteriorates due to varying particle sizes and moisture content
Solution Approach 1:
The patent changes the measurement parameters by incorporating particle size and moisture content as additional variables in the analysis model. Instead of using a simple spectroscopic model that assumes uniform sample properties, the system measures and compensates for particle size distribution and moisture content variations, thereby maintaining measurement accuracy across diverse sample conditions.
Solution Approach 2:
The patent introduces particle size and moisture content measurements as intermediary parameters that mediate between the raw spectroscopic data and the final pungency calculation. These intermediary measurements allow the system to correct for physical variations in the sample, serving as compensating factors that improve the accuracy of the capsaicinoid content estimation.
3Device complexity
If spot analysis is used in conventional spectroscopy, then device complexity is reduced, but measurement accuracy deteriorates due to insufficient sample representation
Solution Approach 1:
The patent transitions from one-dimensional spot analysis to two-dimensional hyperspectral imaging. Instead of measuring a single point on the sample surface, the system captures spectral information across the entire sample area, creating a spatial map of pungency distribution. This dimensional expansion provides comprehensive sample representation while maintaining relatively simple device architecture through the use of imaging spectroscopy.
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 the production of red pepper powder with consistent quality by accurately predicting and adjusting the final spicy level, particle size, and other qualities like ASTA value and sugar content, using spectroscopic image data and statistical models.
Implementation Method 1
a spectroscopic device for obtaining spectroscopic image data of red pepper powder
Data Source
AI summary
The present invention relates to a method for monitoring the quality of red pepper powder, comprising the steps of: estimating at least one of a first particle size and a first moisture content of a first red pepper powder, based on the spectroscopic image data of the first red pepper powder obtained in or before and after at least one of the grinding process, filtration process and sterilization process of red pepper powder; calculating a second spicy level, based on at least one of the first particle size and the first moisture content, and the spectroscopic image data; and estimating a third spicy level of a first mixed red pepper powder in the mixing process, based on at least one of the first particle size and the first moisture content, the second spicy level, and an input amount of the first red pepper powder.