Method for identifying Chinese herbal medicines by using THz-TDS combined with chemometrics
A chemometrics, Chinese herbal medicine technology, applied in the direction of color/spectral property measurement, etc., to achieve the effect of removing the influence of measurement noise and interfering signals
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Embodiment 1
[0041] In this embodiment, THz-TDS combined with chemometrics is used to identify rhubarb, wherein the absorption coefficient spectrum is preprocessed by using automatic adjustment combined with EOSC method, which includes the following steps:
[0042] (1) 41 rhubarb samples provided by the Scientific Research Institute of Beijing Tongrentang Co., Ltd. were used to establish the model, of which 17 were authentic rhubarb and 24 were non-authentic rhubarb; the preparation methods of the 41 rhubarb samples were exactly the same, and the preparation of each rhubarb sample The steps are: (a) drying the rhubarb sample and pulverizing it into a 60-mesh powder; (b) vacuum-drying the powder again, taking a certain amount of sample and transferring it to an agate mortar for grinding to obtain a fine powder; (c ) Finally, under a pressure of 6.5t, the fine powder is made into a thin slice with a diameter of 13mm and a thickness of 0.9-1.2mm as the rhubarb sample to be tested. The two surf...
Embodiment 2
[0086] This embodiment adopts the same pretreatment method as in Example 1, the same self-service Latin partition method for division, and the same least squares support vector machine method to establish a qualitative analysis model to use THz-TDS in combination with chemometrics for rhubarb. Identification, the only difference is that Embodiment 1 uses automatic adjustment in combination with the EOSC method to preprocess the absorption coefficient spectra of the training set samples and the verification set samples, while this embodiment uses Savitzky-Golay five-point cubic polynomial smoothing (also known as S-G smoothing) combined with the EOSC method to preprocess the absorption coefficient spectrum.
[0087] Analysis of the results, such as figure 2 Shown is the relationship diagram between the correct identification rate of the rhubarb sample in this embodiment and the number of corrected main factors, wherein the solid line shows the variation of the actual measured ...
Embodiment 3
[0092] This example uses the same pretreatment method and the same qualitative analysis model as Example 1 to identify rhubarb by using THz-TDS combined with chemometrics. The difference is: (1) Example 1 uses 41 samples to establish model to complete the sample identification, and in this embodiment, 11 samples are used to establish a model to complete the sample identification; (2) Embodiment 1 uses the self-service Latin partition method to divide the absorption coefficient spectrum of the rhubarb sample, and this embodiment uses the existing The stochastic method in the technology divides the absorption coefficient spectrum of rhubarb samples, and the results show that when the number of corrected main factors is 12, the maximum correct rate of identification is 91.82±2.61%.
[0093] As shown in Table 3, when the number of correction factors is 12, the relevant data of the identification accuracy rate of the method of this embodiment is shown.
[0094] Table 3 The results ...
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