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ObjectiveTo establish the identification method of Dalbergiae Odoriferae Lignum（DOL） and its counterfeits by nuclear magnetic resonance hydrogen spectrum（1H-NMR） combined with multivariate statistical analysis. Method1H-NMR spectra of DOL and its counterfeits were obtained by NMR， and the full composition information was established and transformed into a data matrix， and the detection conditions were as follows：taking dimethyl sulfoxide-d6（DMSO-d6） containing 0.03% tetramethylsilane（TMS） as the solvent， the constant temperature at 298 K（1 K=-272.15 ℃）， pulse interval of 1.00 s， spectrum width of 12 019.23 Hz， the scanning number of 16 times， and the sampling time of 1.08 s. Similarity examination and hierarchical cluster analysis（HCA） were performed on the data matrix of DOL and its counterfeits， and orthogonal partial least squares-discriminant analysis（OPLS-DA） was used to analyze the data matrix and identify the differential components between them. In the established OPLS-DA category variable value model， the category variable value of DOL was set as 1， and the category variable value of the counterfeits was set as 0， and the threshold was set as ±0.3， in order to identify the commercially available DOL. The OPLS-DA score plot was used to determine the types of counterfeits in commercially available DOL， and it was verified by thin layer chromatography（TLC）. ResultThe results of similarity analysis and HCA showed that there was a significant difference between DOL and its counterfeits. OPLS-DA found that the differential component between DOL and its counterfeits was trans-nerolidol. The established category variable value model could successfully identify the authenticity of the commercially available DOL. The results of the OPLS-DA score plot showed that there were heartwood of Dalbergia pinnata and D. cochinchinensis in the commercially available DOL， and were consistent with the TLC verification results. ConclusionThere is a phenomenon that heartwood of D. pinnata and D. cochinchinensis are sold as DOL in the market. 1H-NMR combined with multivariate statistical analysis can effectively distinguish DOL and its counterfeits， which can provide a reference for the identification of them.
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OBJECTIVE:To establish HPLC fingerprints of Potentilla discolor,and to conduct authenticity identification.METHODS:HPLC method was adopted.The determination was performed on InertSustain C18 column with mobile phase consisted of 0.1％ formic acid solution-acetonitrile (gradient elution) at the flow rate of 1.0 mL/min,detection wavelength of 360 nm,colunn temperature of 30 ℃,sample size of 10 μL.Using rutin as reference,HPLC chromatograms of 19 batches of P.discolor and 2 batches of P.chinesis were determined.TCM Fingerprint Similarity Evaluation System (2004) was used for similarity evaluation of 21 batches of samples,and common peak identification of 19 batches of P discolor SPSS 21.0 statisticl software was used for main component analysis and cluster analysis.RESULTS:There were 18 common peaks in HPLC fingerprints of 19 batches of P.discolor,the similarity was higher than 0.9.-HPLC chromatogram was in good agreement with control fingerprint.The similarity of 2 batches of P chinesis was lower than 0.7.The 21 batches of medicinal materials could be grouped into 2 categories,2 batches of P chinesis could be grouped into a category,19 batches of P.discolor could be grouped into a category.P discolor could be grouped into 4 categories.Rutin and quercitrin were main ingredients in 19 batches of P discolor.CONCLUSIONS:Established fingerprint can provide reference for authenticity identification and quality evaluation of P.discolor.
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Objective: To establish an HPLC fingerprint method for water-soluble components in Cordyceps sinensis which could provide the basis for authenticity identification and quality evaluation of C. sinensis. Methods: HPLC method was adopted to construct the fingerprint of water soluble components in C. sinensis and its main confused species (C. liangshanensis, C. gunnii and artificial C. militaris). Total 16 common peaks were marked, and 12 common peaks were confirmed by the method with tandem high performance liquid chromatography (HPLC) and quadrupole time-of-flight mass spectrometry (Q-TOF MS). Results: The common mode of HPLC fingerprint for C. sinensis was developed. The method could distinguish between C. sinensis and its confused species, and 12 common peaks were identified, including cytosine, uracil, cytidine, hypoxanthine + guanine, uridine, thymine, adenine, inosine, guanosine, thymidine, adenosine, and cordycepin respectively. Conclusion: This method is simple and easy, providing scientific basis for identification of C. sinensis.
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The burgeoning molecular identification techniques in recent years have been analyzed and summarized in this paper, such as RAPD, ISSR, RFLP, AFLP, SNP, and DNA barcode sequence analysis techniques. The application of the molecular identification techniques has been summarized in the following five aspects: the identification on the authenticity (true or false), genuine products and substitute, multi base source and genetic diversity, producing area, and growing year discrimination of traditional Chinese medicinal materials, We put forward some technical problems in the molecular identification to be solved and expect the development and prospects in the future.