Establishment method for near-infrared quantitative correction model of Jingyaokang Capsule and detection method for Jingyaokang Capsule
A technology for constructing methods and calibrating models, which is applied to measuring devices, material analysis through optical means, instruments, etc., can solve the problems of high performance liquid chromatography, such as long detection time, low inspection efficiency, and complicated pretreatment, and achieve shortened The effect of testing and testing cycle, reducing testing costs, and efficient testing methods
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Embodiment 1
[0055] Embodiment 1 Determination of each index content of Jingyaokang Capsule
[0056] Determination method of strychnine content: according to the national drug standard
[0057] WS-10207(ZD-0207)-2002-2012Z detection, details are as follows:
[0058] Chromatographic conditions and system adaptability test use silica gel as filler; use n-hexane-dichloromethane-methanol-concentrated ammonia test solution (42.5:42.5:5.4:0.35) as mobile phase; detection wavelength is 254nm, and the number of theoretical plates is Strynin calculation should not be less than 6000.
[0059] Preparation of Reference Substance Solution Take an appropriate amount of strychnine reference substance, make it precise, add ethyl acetate to make a solution containing 50 μg per 1 ml, shake well, and get ready.
[0060] Preparation of the test solution Take the content of this product under the difference in loading amount, mix it evenly, take about 0.6g, make it precise, put it in a conical flask with a s...
Embodiment 2
[0075] Example 2 NIR Spectrum Collection of Contents of Jingyaokang Capsules
[0076] Take different batches of samples, pour them into the sample tank respectively, flatten and compact the sample with the matching tank cover, the thickness of the sample is 1.5cm, scan in the spectral range of 1100-2300nm, the scanning interval is 1.0nm, and the average number of scanning is 300 Second-rate. Each sample is collected 3 times, and the sample spectrum is obtained, such as Figure 5 shown.
Embodiment 3
[0077] Embodiment 3 spectral preprocessing
[0078] Before building a model, it is necessary to eliminate the influence of factors such as noise and baseline drift on spectral acquisition. Using the spectral processing program in the SNAP software, the original spectrum was preprocessed by the first-order differential 9-point smoothing method (Savitzky-Golay) to eliminate the spectral baseline shift and drift caused by factors such as color differences. Such as Figure 6 shown.
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