ABSTRACT
A quantitative analysis of multi-components by single marker method (QAMS) was established for simultaneous determination of gallic acid, protocatechuic acid, catechin, epicatechin, p-coumaric acid, ferulic acid and phloridzin in Cynomorium songaricum Rupr. The analysis was performed on a ChromCore Polae C18 column (250 mm×4.6 mm, 5 μm) , with a mobile phase consisting of acetonitrile-0.3% phosphoric acid aqueous solution for gradient elution. The volume flow rate, column temperature and sample injection volume were set at 1.0 mL·min-1, 25 ℃, and 40 µL, respectively. The relative correction factors of gallic acid and protocatechuic acid, catechin, epicatechin, p-coumaric acid, ferulic acid and phloridzin were calculated and the durability was also investigated. The contents of these seven compounds in fourteen batches of Cynomorium songaricum Rupr. from different producing areas or batches were determined by external standard method (ESM) and quantitative analysis of multi-components with a single-marker method (QAMS), respectively. SPSS and Origin Pro software were employed for principal components assay, similarity evaluation and cluster analysis. The specificity, precision, repeatability, stability and linear range (R2 > 0.999 0) of the seven components were all good. The average recovery was 96.89%-103.16% and RSD was 0.55%-2.76%. Then gallic acid was chosen as internal reference for calculation the correction factors for the other six components, the average relative correction factors of protocatechuic acid, catechin, epicatechin, p-coumaric acid, ferulic acid and phloridzin were 1.141 5, 0.200 5, 0.208 0, 2.361 9, 1.867 7, 0.204 6, respectively. Student's test results showed that there was no significant difference between the data analyzed by ESM and the data obtained from QAMS method. Through data visualization analysis, the contents of gallic acid, protocatechuic acid, catechin and epicatechin in different samples were significantly different, indicating that these four components might be the main quality markers of Cynomorium songaricum Rupr. for gaving more contributes to the principal components. The cluster analysis showed that samples from Xinjiang and samples from Inner Mongolia were clustered in significantly different categories, meaning that the quality of Cynomorium songaricum Rupr. had great relation with producing areas. The method of QAMS established in this study is a simple, economical and practical method with scientific and applicable charactistics for evaluating the quality of Cynomorium songaricum Rupr. efficiently and scientifically.
ABSTRACT
To explore the characteristics of soil microbial communities of Cistanche deserticola and Cynomorium songaricum, two typical parasitic medicinal plants that live in an extreme saline alkali environment, 16S PCR was used to sequence the soil microbial communities of C. deserticola and C. songaricum in Ebinur Lake, Xinjiang. Redundancy analysis and correlation analysis were carried out based on the abundance of core microbiome and ecoclimatic factors. The results show that the diversity of the soil microbial community of C. deserticola was significantly higher than that of C. songaricum. The core microbial groups of C. deserticola and C. songaricum were Marinomona, Halomonadaceae, Rhizobiales, Halomonas, and Acidimicrobiales. Six specific biomarkers were identified as Micrococcacea, Echinicola, Glutamicibacter, Galbibacter, Pseudoalteromonas, and Marinobacterium_ rhizophilum. The results of redundancy analysis and correlation analysis show that the average temperature in the driest season and the average temperature in the coldest season, and the clay content and soil texture classification were the main ecological factors affecting the composition of these soil microbial communities. This study provides a theoretical basis for finding molecular markers of C. deserticola and C. songaricum and promoting the quality of C. deserticola and C. songaricum.