Construction and application of rapid quality detection method for motherwort particles
A detection method and particle quality technology, which is applied in the construction and application field of the rapid detection method for the quality of motherwort granules, can solve the problems of high performance liquid chromatography, such as long detection time, low inspection efficiency, and complicated pretreatment, to achieve on-site analysis , shorten the detection cycle, expand the effect of coverage
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Embodiment 1
[0053] Embodiment 1 Determination of each index content of motherwort granule
[0054] Determination of stachydrine hydrochloride content:
[0055] According to the determination method of stachydrine hydrochloride under the item of motherwort granules in the 2020 edition of "Chinese Pharmacopoeia".
[0056] Chromatographic conditions and system suitability test Use strong cation exchange bonded silica gel as filler (SCX-strong cation exchange resin column); use acetonitrile-0.05mol / L potassium dihydrogen phosphate-phosphoric acid (15:85:0.15) as mobile phase ; The detection wavelength is 192nm. The number of theoretical plates is calculated based on the peak of stachydrine hydrochloride and should not be less than 2000.
[0057] Preparation of reference substance solution Take an appropriate amount of stachydrine hydrochloride reference substance, accurately weigh it, add methanol to make a solution containing 0.1mg per 1ml, and obtain.
[0058] Preparation of the test sol...
Embodiment 2
[0071] Embodiment 2 Leonurus granule spectral collection
[0072] Take different batches of samples, pour them into the sample tanks, flatten and compact the samples with matching tank covers, scan in the spectral range of 1100-2300nm, the scanning interval is 1.0nm, and the average number of scanning is 300 times. Each sample is collected 3 times, and the sample spectrum is obtained, such as Figure 5 shown.
Embodiment 3
[0073] Example 3 Leonurus granule spectral pretreatment
[0074] 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 with 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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