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Objective:To establish the fingerprints of Plantaginis Herba.Methods:The fingerprints were determined by UPLC. The peak areas of fingerprints of different parts and origins were analyzed by variance analysis and independent sample t-test. PCA, HCA, PLS-DA and other chemical patterns were analyzed by Simca14.1. The index weight was calculated by CRITIC, and the quality of plantain evaluation was combined with grey correlation degree.Results:The fingerprints of grass, stem, leaf and spike of Plantago depressa Willd. calibrated for 24, 16, 23 and 22 common peaks. The fingerprints of grass, stem, leaf and spike of Plantaginis Herba calibrated for 22, 10, 16 and 22 common peaks, and the fingerprints of commercial mixed plantain calibrated for 23 common peaks. 10 peaks were identified. The analysis of variance showed that there were differences in chromatographic peak areas between different parts of Plantago asiatica L. and Plantago depressa Willd.. And combinedede with PLS-DA, it showed that there were 16 important characteristic indexes in the classification, and the importance ranking was peak 3, 8, 28, 12, 14, 7, 5, 17, 6, 19, 23, 11, 22, 27, 9, 16. The quality evaluation results of critical method combined with grey correlation degree showed that among Plantago depressa Willd., Plantago asiatica L. and commercial mixed plantain herbs, the quality of Plantago asiatica L. was the best. Conclusion:The mixture of plantain exists in the market. The fingerprints established in this study can be used for the identification and quality evaluation of Plantaginis Herba from different sources.
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Objective:To distinguish the differences between Olibanum and Myrrha by using modern analytical methods such as Differential Scanning Calorimeter (DSC) and Fourier Transform InfraRed (FT-IR). Methods:By collecting Olibanum and Myrrha in different growing areas and different processed prosecures, this paper to analizes the influence of temperature increase and its speed , as well as the particle size on the DSC experiment. The DSC method was used to perform a differential thermal map of Olibanum and Myrrha scanning and analysis; FT-IR was used to scan and analyze 20 batches of Olibanum and Myrrha. Results:TThe results of DSC analysis showed that the DSC experimental condition ranged between 30-600 ℃; the speed of temperature increase was 30 ℃/min; the particle size was 100 mesh. The DSC spectra of of Olibanum and Myrrha were significantly different. Only the processed products of frankincense had endothermic peak near 297 ℃, and there was no characteristic peak in this temperature range. Their exothermic peaks are close at 326 ℃, but their enthalpy values are quite different. The position of endothermic peak near 100 ℃ is close to the size of peak shape. FT-IR test showed that the absorption peaks of Olibanum and Myrrha at wave numbers 2 925, 1 710, 1 454, 1 371, 1 242, 1 029 cm -1 appeared, and the positions of strong peaks were also similar. The intensity of the characteristic peak of Myrrha wave number 1 029 cm -1 is greater than that of Olibanum. Conclusion:The DSC spectra of Olibanum and Myrrha are significantly different, and the difference between the two FT-IR spectra is small. Differential scanning Calorimetry is an effective, fast, and simple way to identify resinous Chinese medicinal materials, and is worthy of further popularization.
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Objective To explore a quick and simple method to identify ginseng medicinal materials. Methods Twenty types of ginseng medicinal materials were collected. The effects of two important factors:temperature and heating rate on differential scanning calorimetry (DSC) were investigated. The DSC features were used to quickly identify Radix et Rhizoma Notoginseng, Radix et Rhizoma Ginseng, Radix Panacis Quinquefolii and Panna ginseng C.A.Mey. Results The optimal experimental conditions for rapid identification of Radix et Rhizoma Notoginseng, Radix et Rhizoma Ginseng, Radix Panacis Quinquefolii and Panna ginseng C.A.Mey by DSC were determined: temperature range 30-400 ℃, heating rate 30 ℃/min. Under these conditions, the characteristic peak temperature and thermal enthalpy value can be used to distinguish four kinds of ginseng. Conclusions The experiment shows that the DSC method has the advantages of simple operation, rapid measurement, good reproducibility, easy analysis of the spectrum and less sample consumption. It is a new method for quickly identifying Chinese medicinal materials of ginseng genus.
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[Objective] To provide a basis for the identification of six species of Calicarpa. [Methods] Histological and microhistological features were studied. [Results] Obvious distinctive features of color and types of villi on the back of the leaf were found. [Conclusion] The method can be used to distinguish the features of the six species of Calicarpa.