ABSTRACT
To establish a random forest algorithm for identifying and classifying different brands of Xiasangju granules, and provide effective reference for identifying multi-index complex fingerprint. HPLC method was used to collect the fingerprint of 83 batches of Xiasangju granules from different manufacturers. The classification of Xiasangju granules samples based on chromatographic fingerprints was identified by chemometric methods including principal component analysis (PCA), partial least squares discriminate analysis (PLS-DA) and random forest analysis (RF). The superiority of the above three chemometric methods was compared. The results showed that the fingerprints of 83 batches of Xiasangju granules were established in this study. PCA could only explicate 56.52% variance contribution rate and could not completely classify the samples; PLS-DA analysis was superior to PCA, explicating 63.43% variance contribution rate and could obtain certain separation; RF could well classify the samples into 3 types, and the predication accuracy of the proposed method was 96.5%. Therefore, The results indicate that RF combined with HPLC fingerprint could effectively construct traditional Chinese medicine quality control and analysis system.
ABSTRACT
To establish the fingerprints of Xiasangju granules (with sugar and non-sugar forms) by HPLC, and provide reference for their identification and effective quality control. High performance liquid chromatography (HPLC) method was used to collect the fingerprints of 20 batches of non-sugar Xiasangju granules and 34 batches of sugar type Xiasangju granules. Their main different components were classified and screened by mode identification methods (principal component analysis, PCA, and orthogonal partial least squares discriminate analysis, OPLS-DA). The principal components were identified by comparing with reference standards. The fingerprints of Xiasangju granules (sugar type and non-sugar type) were established. PCA could not fully classify the two types of granules, while OPLS-DA could obviously classify these two different types of Xiasangju granules. Six components showed greatest difference between two types of granules, including salviaflaside, luteoloside and linarin. The developed mode identification method is helpful to control the overall quality of Xiasangju granules, and it provides an effective approach to quality evaluation.
ABSTRACT
AIM: To establish an effective and convenient method for applying HPLC fingerprints to quality control in the production of Xiasangju Granules(Spica prunellae,Folium mori,Flos chrysanthemi). METHODS: Komasil Sunfrie C_(18)(150 mm?4.6 mm,5 ?m) analytical column was used and eluted with a gradient program consisted of phase A(1% acetic acid) and phase B(methanol) and detected at 290 nm.The fingerprints of aqueous extract,alcohol-precipitated extract,concentrate and finished product were compared with. RESULTS: The fingerprint method for Xiasangju Granules was established.The similarity among 10 batches of Xiasangju Granules was no less than 0.970.The difference between extracts and finished product of Xiasangju Granules was obvious. CONCLUSION: This validated method is available for quality evaluation and quality control in Xiasangju Granule's production.
ABSTRACT
AIM:To establish the fingerprint chromatogram of amino acids compounds of Xiasangju Granules(Spica Prunellae,Flos Chrysanthemi indici,Folium mori.).METHODS:To apply 6-aminoqtiinoly-N-hydroxysuccinimdyl carbamate(AQC) pre-column derivatization HPLC method.Separation was performed on SYMMETRY C_(18)(150 mm?(4.6) mm,5 ?m) analytical column with mobile phase consisting of acetate(pH=(5.05)) and 60% acetonitrile with gradient elution with the flow rate(1.0) mL/min and the column temperature at 37 ℃.The Fluorescence wavelength used for detection was set at 250 nm(Excitation wavelength) and 395 nm(Emission wavelength) and the analysis time was 50 min.RESULTS:12 co-peaks on the HPLC fingerprints of Xiasangju Granules were indicated.The similarities were determined by the coefficients of cosine and correlation.The results of similarity analysis were(0.95)-(1.00).CONCLUSION:Perfect fingerprints were obtained which can be used for the quality control of Xiasangju Granules.