Establishment of mulberry leaf high performance liquid chromatography fingerprint and application of multi-component content determination in quality evaluation of mulberry leaf
A high-performance liquid chromatography and fingerprint technology, which is applied in the field of pharmaceutical analysis, can solve the problems of comprehensively evaluating the quality of mulberry leaves, and achieve good peak shape and resolution, good repeatability, and good stability
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Embodiment 1
[0077] Embodiment 1: the construction of mulberry leaf high performance liquid chromatography fingerprint
[0078] 1.1 Instruments
[0079] LC-20AD high performance liquid chromatograph, including LC-20AD pump, SIL-20A autosampler, CTO-20AC column oven, and SPD-M20A diode array detector (Shimadzu Co., Ltd., Japan), AB265-S Model Mettler electronic analytical balance (Swiss Mettler company), ultrapure water machine (American Millipore company), SB-5200D ultrasonic cleaning machine (Ningbo Xinzhi Biotechnology Co., Ltd.).
[0080] 1.2 Drugs and Reagents
[0081] Methanol is chromatographically pure (SEPSRV company), formic acid is chromatographically pure (MERDA company), protocatechuic acid reference substance, neochlorogenic acid reference substance, chlorogenic acid reference substance, cryptochlorogenic acid reference substance, rutin reference substance (Sichuan Provincial Vikki Biotechnology Co., Ltd.), astragaloside reference substance (Chengdu Maide Biotechnology Co., ...
Embodiment 2
[0094] Example 2: Quality evaluation of mulberry leaves
[0095] 2.1 Quality evaluation of mulberry leaf HPLC fingerprint
[0096] Based on the fingerprints of the above 10 batches of samples, using the "Chinese Medicine Chromatographic Fingerprint Ultra-Information Characteristic Digital Evaluation System 4.0" software, the average value method was used to calculate the fingerprint at 254nm wavelength and generate the average control fingerprint (PRFP), calculate The macro-qualitative similarity (Sm), macro-quantitative similarity (Pm) and fingerprint homogeneity (α) of 10 batches of mulberry leaf samples were used to calculate the quality evaluation grade of 10 batches of mulberry leaf samples. The higher the grade, the worse the quality. As shown in Table 2, the quality of mulberry leaf samples from three sources S1, S3 and S9 was better.
[0097] Table 2 Fingerprint quality evaluation of 10 batches of mulberry leaves
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[0099]
[0100] 2.2 Quantitative dete...
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