Studies On The Quality And The Coefficient In Multi-composition Groups Of Carthamus Tinctorius

Objective:This paper use safflowers for the drug model, through collecting different growth stages, different plants and different commodities safflower to set up different batches of safflower HPLC fingerprints. Secondly, we use a variety of statistical methods to study the quality and the coefficient between the multi-composition groups of Carthamus tinctorius. Our aim is to validate the "Netcom rainbow potential" phenomenon which role by multi-component groups, and ultimately provides new ideas and methods for quality control of TCM.Methods:1.According to the pharmacopoeia requirements by2010version to determinate the contents of water extract and hydroxysafflor vellow A in different batches of safflower;2. By the requirements of technology to establish fingerprints of safflower, then build the database which includes of different HPLC fingerprints of230batches safflower carthamus, and to provide the study basis of the methodology for21components groups in safflower medicinal materials;3. By using the statistical moment method and total amount statistical moment similarity law, and the principal component analysis and cluster analysis, the network dynamics method to evaluate and analysis different safflowers; Secondly, according to multiple linear regression to set up the equations related peak area and extract concentration to quantitative assessed the quality of multi-components of the Chinese herbal medicine。4. By using "minimum extract weight" mathematical model which is based on the information entropy theory, genetic statistics theory can be established, and then use it to calculates and analysis the result for explain and control the quality of medicinal materials groups under the Hardy-Weinberg balance.Results:1. Safflower carthamus from the same origin but in different harvest time has little differences in water extract content, but it has significant difference in different organs on content of Hydroxyl of safflower yellow A; the different plants harvested in the same origin are of the average content of water extract and HYSA which is40.589%,3.35%, it is far higher than the30%and1%in the pharmacopoeia standard to control the quality;154batches safflower from different marketing are average at30.35%,1.64%content of extract and HYSA respectively, there are40%,23%respectively can not comply with pharmacopoeial standards,2. This study establish the HPLC fingerprint database that suitable for components group in red flower,RP-HPLC chromatographic conditions follows as:column::UtimateTM AQ-C18; phase:acetonitrile and water (including0.2%phosphoric acid), gradient elution; wavelength:275nm; flow rate:1.0mL/min (12min with0.8mL/min); temperature:30℃;automatic injection:10μ L, running time:70min; balance time:10min。The method meet the requirements to established fingerprints for safflowers。3. Total amount statistical moment parameters and similarity for evaluate and analysis different types safflower, with total concentration and the similarity for the comprehensive factors, it can be divided into three levels:the first grade be of the average concentration for410.07mg· mL-1, overall similarity reaches more than0.90; the second-class safflowers are average of total concentration is270.49mg/mL, the overall similarity reaches than0.80; the defective or adulterate flos carthami only has the average concentration of120.096mg· mL-1, herbs compared to qualified has the similarity below0.6. According to multiple linear regression, we set up three fingerprints areas-contents equations can used for quantitative research for safflower。4. The object of study for different safflowers, its compositions for variables to make principal component analysis and cluster analysis, the results show that the larger coefficients with the13th components groups is the12th composition and the14th composition groups;5. The use of network dynamics method to calculate the equilibrium constant between the principal component groups of composition group, and to explore the relationship between the interaction coefficient and quality of safflower;6. Using the mathematical model for calculating the same origin at different growth time and plants, and different sources of safflower medicinal materials for minimum one-time investment raw material weight index by fingerprint information is7.8kg,18.2kg,201kg respectively.Conclusion:This article gets230different HPLC fingerprint data of safflowers, and uses the total quantity statistics moment and the similarity law, the multi-dimensional linear return method, the principal components analysis and the cluster analysis carries on the analysis to the quality of safflower, and it is the first time using the method of network dynamics,"spectral-content models" and " the minimum raw materials adding weight " to explores the quality and relationship between the constituents group of Carthamus tinctorius, it validate the "’Netcom rainbow potential" phenomenon which role by multi-component groups, This philosophy is in line with the TCM, and provides a new way of thinking and methods for quality control of Chinese medicine, While this study on the modernization of TCM and clinical application of safflower compound may have a good theory value and significance applications.