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Objective::To established fingerprint of Acanthopanacix Cortex by UPLC method, in order to provide reference for quality control and evaluation. Method::UPLC method was performed on Waters BEH C18 (2.1 mm×100 mm, 1.7 μm), with acetonitrile-0.1% glacial acetic acid as the mobile phase for gradient elution.The detection wavelength was 282 nm, the flow rate was 0.3 mL·min-1, the column temperature was 25 ℃, and the injection volume was 2 μL.With syringin as reference substance, the fingerprint of 20 batches Acanthopanacix Cortex were analyzed under the same chromatographic conditions.The Similarity Evaluation System for Chromatographic Fingerprint of Chinese Materia Media (version 2012) was used to analyze the similarity of 20 batches of Acanthopanacix Cortex, and the SPSS 21.0 was applied for cluster analysis. Result::The UPLC fingerprint of the Acanthopanacix Cortex was established.The similarity results showed that the 7 batches of the 20 batches of Acanthopanacix Cortex was less than 0.800, and the remaining medicinal materials were similar within the range from 0.800 to 0.924.Besides, 12 common fingerprint peaks were calibrated and 4 components were identified, namely protocatechuic acid (peak 1), chlorogenic acid (peak 3), syringin (peak 4), and 4-methoxysalicylaldehyde (peak 12). The clustering results showed that the 20 batches of Acanthopanacix Cortex were divided into four groups.Among these batches, S1, S3, S9, S13 and S20 were clustered into one category, S11 was a category, S14 was a category, and the remaining samples belonged to a category. Conclusion::With a good precision, repeatability and stability, short analysis time as well as superior specificity, the method will provide a scientific basis to evaluate and control the quality of Acanthopanacix Cortex.
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OBJECTIVE: To analyze the difference of chemical constituents in Scrophulariae Radix from different areas by UFLC-Triple TOF-MS/MS. METHODS: Through analysis of the multistage tandem mass spectra, the characteristic peaks were extracted with mass spectrometry data peak matching, peak alignment, and noise filtering. Principal component analysis (PCA) and orthogonal partial least-squares discriminant analysis (OPLS-DA) were used for data processing. The constituents were identified according to MS accurate mass and MS/MS spectrometry fragmentation information, combined with the software of database search and literature. RESULTS: The chemical constituents in Scrophulariae Radix from different areas were clearly distinguished. Thirty-six chemical constituents were indentified as differential compounds. Among them, there were 11 kinds of common differential chemical constituents, i.e., caffeic acid, aucubin, 5-hydroxymethylfurfural, harpagide, 6-O-methylcatapol, verbascoside, p-coumaric acid, ningpogenin, 6″-O-feruloylharpagide, sibirioside A, and harpagoside. CONCLUSION: This study provides experimental data to reveal the influence of ecological environment and genetic variation on metabolite biosynthesis of Scrophulariae Radix.
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OBJECTIVE: To establish the fingerprint identification and assay for the quality analysis of processed Aconitum sinomontanum Nakai from different areas. METHODS: HPLC Gradient elution method was developed to establish the fingerprints for processed Aconitum sinomontanum Nakai, and the fingerprints were analyzed and compared by Chinese Materia Medica (CMM) Fingerprint Similarity Evaluation System (2012 edition), principal component analysis (PCA) and cluster analysis (CA). RESULTS: The common fingerprint for processed Aconitum sinomontanum Nakai fingerprints was established, and 18 common fingerprint peaks were identified. The similarity was greater than 0.90 among 10 batches of processed Aconitum sinomontanum Nakai medicinal herbs, and the contents of lappacontine and ranaconitine were determined. The samples from different areas could be classified into four groups, which reflected the quality characteristics of 10 batches of processed Aconitum sinomontanum Nakai from different areas. Four main components with cumulative contribution rate of 88.824% were selected by PCA, and seven chemical components were identified as the ones to determine the quality of processed Aconitum sinomontanum Nakai. CONCLUSION: This method, with good reproducibility and strong characteristics, can be used for the comprehensive quality evaluation of processed Aconitum sinomontanum Nakai.
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Objective To establish an HPLC method for determining gallic acid in Chebulae fructus immaturus of different area.Methods The ZORBAX SB-C18 (250 mm×4.6 mm,5 μm) column was used,the mobile phase consisted of acetonitrile: 0.1％ H3PO4(29: 71),the flow rate was 1.0 ml/min,the column temperature was 30℃ the detecting wavelength was at 273 nm.Results Gallic acid was successfully separated within 20 min,the linear response range was 0.5611～5.611 μg.The average recovery was 99.9％,and RSD was 2.35％.Conclusion The method is simple,accurate and repeatable; it can provide evidence for further development and utilization of this crude drug.