Abstract: The present disclosure belongs to the technical field of bioengineering, and relates to a method for constructing a Ptgds gene knockout rat model with spontaneous kidney yin deficiency. The method includes the following steps: 1) designing target sequences Ptgds-sgRNA1/2; 2) purifying Cas9mRNA and the Ptgds-sgRNA1/2; 3) conducting targeted knockout on a sequence fragment in the Ptgds gene using a CRISPR/Cas9 system; 4) injecting the purified Cas9mRNA, the purified Ptgds-sgRNA1/2, and a Ptgds knockout gene into rat embryos to obtain neonatal rats; 5) conducting genetic identification to select heterozygous rats; and 6) conducting breeding on the heterozygous rats with wild-type rats for multiple generations to obtain the Ptgds gene knockout rat model. In the present disclosure, the method has a high accuracy of gene modification, a targeting specificity, and a short experimental period.

Abstract: A fingerprint detection method for a pharmaceutical preparation. The detection method uses an HPLC-DAD wavelength switching method to simultaneously determine a plurality of active ingredients such as mulberroside A, hydroxysafflor yellow pigment A, paeoniflorin, ferulic acid, calycosin-7-O-?-D-glucoside, rosmarinic acid, salvianolic acid B, formononetin, etc. in the pharmaceutical preparation. The sensitivity and accuracy of the detection method are greatly enhanced so as to ensure the comprehensive evaluation of the quality of the pharmaceutical preparation.

Abstract: Disclosed is a detection method for quality grade of traditional Chinese medicine (TCM), including: detecting the levels of quality control index components of TCM and efficacy-related in vitro activity by establishing a correlation between principal components of TCM and in vitro activity; determining the state of sample cluster by principal component analysis; constructing a logistic regression model of quality grade versus index components and bioactivity and establishing corresponding grade detection formulas of Chinese medicinal materials by fitting a large number of sample data for Chinese medicinal materials from different places of origin and batches. The method of the present invention realizes the mathematical expression of a standard for quality difference of TCM, and provides a feasible solution for the industrialized evaluation of quality grades of Chinese medicinal materials or herbal slices finally.

Abstract: Disclosed is a detection method for quality grade of traditional Chinese medicine (TCM), including: detecting the levels of quality control index components of TCM and efficacy-related in vitro activity by establishing a correlation between principal components of TCM and in vitro activity; determining the state of sample cluster by principal component analysis; constructing a logistic regression model of quality grade versus index components and bioactivity and establishing corresponding grade detection formulas of Chinese medicinal materials by fitting a large number of sample data for Chinese medicinal materials from different places of origin and batches. The method of the present invention realizes the mathematical expression of a standard for quality difference of TCM, and provides a feasible solution for the industrialized evaluation of quality grades of Chinese medicinal materials or herbal slices finally.