Rizhao Green Tea Origin Identification Using TGA-FTIR and Ea Modeling
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Solution Overview
Problem
Existing methods for identifying the producing area of Rizhao green tea are costly, complex, and lack stability, making them unsuitable for accurate and rapid identification, which is necessary to combat counterfeit products and protect consumer interests.
Innovation Solution
A method utilizing thermogravimetric analysis (TGA) coupled with Fourier transform infrared spectroscopy (FTIR) to analyze tea leaf samples, followed by kinetic and thermodynamic parameter estimation, and establishment of an activation energy prediction model using machine learning techniques to differentiate Rizhao green tea from others.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensory evaluation method is used for identifying producing area of Rizhao green tea, then identification can be performed, but it requires a lot of manpower and material resources, is costly and time-consuming
Solution Approach 1:
The patent replaces the mechanical sensory evaluation system with a thermal analysis system (TGA-FTIR). Instead of relying on human sensory evaluation which requires multiple experts and time-consuming procedures, the invention uses automated thermal gravimetric analysis coupled with Fourier transform infrared spectroscopy to rapidly identify producing areas through objective thermal decomposition patterns.
Solution Approach 2:
The patent changes the identification parameters from sensory attributes (taste, aroma) to thermal parameters (decomposition temperature, weight loss rate, functional group spectra). By measuring thermal decomposition characteristics at different temperature stages, the method achieves rapid and accurate producing area identification without the time constraints of sensory evaluation.
2Measurement precision
If chemical method is used for identifying producing area of Rizhao green tea, then identification can be performed, but it includes cumbersome steps, is costly, and requires the use of a large amount of organic reagents leading to great environmental hazards
Solution Approach 1:
The patent replaces chemical analysis methods that require organic reagents with a physical thermal analysis system. The TGA-FTIR method uses heat energy and infrared radiation to obtain spectral information, eliminating the need for harmful chemical reagents while maintaining identification accuracy through objective measurement of thermal decomposition characteristics.
Solution Approach 2:
The patent employs an inert nitrogen atmosphere during thermal analysis to prevent unwanted chemical reactions and environmental contamination. This creates a controlled environment that eliminates the need for organic reagents while ensuring accurate measurement of thermal decomposition patterns for producing area identification.
3Reliability
If traditional identification methods are used, then identification can be performed, but they lack stability and are not suitable for rapid identification
Solution Approach 1:
The patent replaces unstable traditional methods with a stable automated thermal analysis system. The TGA-FTIR instrumentation provides consistent, reproducible measurements of thermal decomposition patterns, eliminating the variability inherent in manual sensory evaluation while enabling rapid identification through automated data processing and pattern recognition.
Solution Approach 2:
The patent implements continuous thermal heating from room temperature to high temperatures while continuously monitoring weight changes and infrared spectra. This continuous measurement approach provides stable, comprehensive data for producing area identification, eliminating the need for multiple discrete testing steps and enabling rapid results.
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 method provides accurate, rapid, and cost-effective identification of Rizhao green tea by specifying combustion characteristics and kinetic parameters, enabling precise prediction of its producing area with high prediction precision.
Implementation Method 1
Biomass pyrolysis is a quantitative analysis technique in which the quality change of a sample can be monitored when a furnace temperature rises from room temperature to thousands of degrees centigrade under a stable or changing gas flow.
Implementation Method 2
Thermogravimetric analysis (TGA) is coupled with the Fourier transform infrared spectroscopy (FTIR) for use in detecting the gas released in the biomass pyrolysis process.
Implementation Method 3
Biomass pyrolysis is a quantitative analysis technique in which the quality change of a sample can be monitored when a furnace temperature rises from room temperature to thousands of degrees centigrade
Data Source
AI summary
A method for identifying a producing area of Rizhao green tea is provided to identify Rizhao green tea in a trace amount accurately, conveniently, and rapidly, providing a new theoretical method and scientific basis for tracing the producing area of the Rizhao green tea. The method includes the following steps: S1, collection and preprocessing of tea leaf samples; S2, thermogravimetric analysis-Fourier transform infrared spectroscopy (TGA-FTIR) coupled testing; S3, infrared spectrogram analysis; S4, thermogravimetric-differential thermogravimetric spectrogram analysis; S5, estimation of kinetic parameters of the Rizhao green tea; S6, calculation of the pyrolysis parameters of the Rizhao green tea; and S7, establishment of an Ea prediction model for Rizhao green tea. A prediction model is established for the activation energy Ea of a Rizhao green tea leaf sample Y1, and an input to the prediction model is merely three characteristic parameters. The problem of model complexity is fundamentally solved.