ABSTRACT
OBJECTIVE To establish the infrared fingerprints of Achyranthes bidentata from different producing areas ，and to conduct multivariate statistical analysis. METHODS The infrared fingerprints of 61 batches of A. bidentata samples were established by Spectrum for Window 3.02 and OMNIC 9.2 software. Taking the relative peak height of common peaks of infrared fingerprint as the variable ，the normal distribution analysis was carried out by Excel 2016 software；SPSS 22.0 software was used for cluster analysis and principal component analysis ，and the comprehensive score was calculated ；the orthogonal partial least squares-discriminant analysis was carried out by SIMCA 14.1 software，and the marker wave numbers affecting the quality of A. bidentata were screened by taking the variable importance in projection （VIP）＞1 as the standard. RESULTS The correlation coefficients of infrared spectra of 61 batches of A. bidentata samples were 0.967 2-0.997 7；there were 13 common peaks. The results of normal distribution analysis showed that the normal distribution curve of relative peak height of common peaks for A. bidentata from Henan and Hebei did not cross ，and the normal distribution curve of A. bidentata from Henan and Inner Mongolia crossed. The results of cluster analysis showed that when the distance between groups was 15，61 batches of A. bidentata samples could be clustered into 3 categories，including N 1-N12 were clustered into one category ，N13-N45 were clustered into one category，and N 46-N61 were clustered into one category. The results of principal component analysis showed that the cumulative variance contribution rate of the first three principal components was 91.121％；comprehensive score of qq.com A. bidentata （number N 40） in Jiabu village ，Jiaozuo City ， Henan Province was the highest （2.39）， and that of A.bidentata（number N 4）in Xin ’an village ，Anguo City ，Hebei Province was the lowest （－2.89）. The results of orthogonal 163.com partial least squares-discriminant analysis showed that 61 batches of A. bidentata samples were divided into three categories ，including N 1-N12 were clustered into one category ，N13-N28 were clustered into one category and N 29-N61 were clustered into one category. Seven marker wave numbers affecting the quality were selected. The corresponding wave numbers of VIP from large to small were 1 059，927，2 933，813，1 732，1 128 and 3 367 cm－1，1 732 cm－1 was the characteristic obsorption peak of saponins ，1 059，1 128，927 cm－1 were the characteristic obsorption peaks of glycosides. CONCLUSIONS Infrared fingerprint combined with normal distribution analysis ，cluster analysis ，principal component analysis and orthogonal partial least squares-discriminant analysis can be used to identify A. bidentata from different producing areas.
ABSTRACT
Objective:To establish the fingerprint of standard decoction of Citri Reticulatae Pericarpium and evaluate its quality. Method:According to the preparation conditions of the standard decoction,15 batches of standard decoction of Citri Reticulatae Pericarpium were prepared.HPLC was employed to determine the content of hesperidin in this standard decoction.Ultraviolet spectroscopy(UV) and infrared spectroscopy(IR) were used to establish the fingerprint of standard decoction of Citri Reticulatae Pericarpium.The correlation coefficient method and double index sequence analysis method were used to compare and analyze the spectra of different batches of this standard decoction. Result:The content of hesperidin in 15 batches of this standard decoction were 0.82%-2.60%,and the measured value of dry extract rate was 32.02%-46.11%.Compared with ultraviolet and infrared control fingerprint,the fingerprint similarities of the standard decoction of each batch were > 0.897 and > 0.942,respectively.The double index analysis results showed that the common peak ratio was more than 62.50%,variation peak ratio was less than 46.67%. Conclusion:The quality evaluation method established in this study can be used for systematic evaluation of standard decoction of Citri Reticulatae Pericarpium,and it can provide theoretical reference for the formulation of quality standard of Citri Reticulatae Pericarpium dispensing granules and other related preparations.
ABSTRACT
This paper aims to establish the infrared spectrum fingerprint (IRFP) in the absorbing region of 4,000-400 cm(-1) and its first derivative infrared spectrum fingerprints (d-IRFP) of ginkgo tablet (GT). And set up theories of the digitized and quantified evaluating method for super information characteristics by IRFPs of traditional Chinese medicine (TCM) which consists of the IRFP index, information index, fluctuation index, information fluctuation index and the quantified infrared fingerprint method (QIFM). Direct tabletting method was applied during the data collection of the IRFPs of 14 batches of GTs by Fourier transform infrared spectrometer. In terms of the digitized features, QIFM and similarity analysis of d-IRFP, sample S4 and S7 were evaluated as suspected outliers while the qualities of S1, S2, S6 and S12 were less well and the rests were relatively good. The assessing approach makes the expression and processing of superposed information in IRFP of TCM digitized simple and effective. What's more, an approach which can test total chemical contents in the complex system of TCM rapidly, simply and accurately was achieved by the application of QIFM based on IR technique. Finally, the quantitative and digitized infrared fingerprinting method was established as a novel approach to evaluate the quality of TCM.
