METHOD FOR IDENTIFYING PRODUCING AREA OF RIZHAO GREEN TEA
개요
출원인
Shandong Academy of Agricultural Sciences; Rizhao City Lanshan District New Rural Construction and Development Co., Ltd.
발명자
Chunwang DONG; Dandan QI; Zhiwei CHEN; Yali SHI; Mengqi GUO; Min LU; Fengzhi AN; Jianhua GAO; Qijun YUAN; Yusheng LI; Fan'an ZHANG; Yue ZHAO; Dewen WANG
IPC 분류
CPC 분류
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.
원문 (중국어)
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.