This study was aimed to establish the classification method of Chinese herbal medicine based on feature parameters extracted from images of herbal transverse section, in order to explore the feasibility of automatic identi-fication method of herbal medicine. The extracted 26 parameters of 18 herbal medicine images by gray-level co-oc-currence matrix and grayscale gradient matrix were used as the basic data set. And the minimum covariance determi-nant (MCD) was used to delete the outliers. A total of 18 identification models were established using the native Bayes method and BP neural network methods. The results showed that the average correct rates of models were 90%. It was concluded the feasibility of using these models in the establishment of the automatic identification method of herbal medicines. It provided new technologies for the quantitative, scientific and objective identification of Chinese herbal medicine.

Objective To establish a high performance liquid chromatography (HPLC) method for the determination of baicalin and naringin inQinbei mixture.Methods The HPLC system consisted of the Fortis-C18(4.6 mm × 250 mm, 5μm) column, and the mobile phase consisted of MeOH:0.4% H3PO4 (42:58), and the flow rate was 1.0 ml/min, and the UV detector was set at 280 nm, and the column temperature was 30℃.Results The linear response range of baicalin was 0.062-0.930μg. The linear response range of naringin was 0.033-0.492μg. The average recovery of baicalin was 98.11% (RSD=1.62%). The average recovery of naringin was 96.78% (RSD=1.74%).Conclusions The method is simple, rapid, accurate and repeatable. It can be applied in determination of baicalin and naringin inQinbei mixture.

This article investigated the applicability of the near infrared spectroscopy (NIR) technology, combined with the least squares support vector machines (LS SVM) used for the quality monitoring of medicated leaven fermentation. First, near infrared spectra of 67 medicated leaven samples were obtained by near infrared spectroscopy system in the wavelength range of 400 2 500 nm, and then the protease and amylase activity were measured by Folin phenol method and DNS method. Thereafter, the LS SVM was employed to calibrate models. The Rc and Rp of protease in near infrared model were 0.975 and 0.938, respectively; The RMSEC and RMSEP were 5.297 and 9.795, respectively. The Rc and Rp of amylase in near infrared model were 0.987 and 0.973, respectively; The RMSEC and RMSEP were 7.215 and 6.864, respectively. This model has good prediction ability and is suitable for quality monitoring in medicated leaven fermentation process. The research achievement could lay a certain foundation for the near infrared spectral analysis technology applied in the field of traditional fermentation processing.

OBJECTIVETo investigate the impact of repeated data acquisition on the stability of NIR quantitative calibration model, and make a preliminary analysis on reasons for the impact.

METHODYinhuang decoction was used as the subject, and NIR spectrum samples were collected. By reference to HPLC's determination value, the baicalin quantitative calibration model was established by using recursive least square algorithm to detect cumulative-LVs curve of latent variables. The impact of calibration model caused by repetitive samples was explained in latent variance space.

RESULTAfter averaging the repetitive spectrum samples, quantitative prediction model, which was built by optimal method of spectrum pretreatment, showed the ideal prediction result (RMSECV = 1.824). The area under the cumulative-LVs curve of latent variables was obviously larger than other modeling methods, i. e., this model is more stable.

CONCLUSIONAveraging of multiple measurements can dramatically improve the predictive ability of the model and make the model more stable.

Calibration ; Drugs, Chinese Herbal ; chemistry ; Models, Statistical ; Reproducibility of Results ; Spectrophotometry, Infrared ; methods ; Time Factors

OBJECTIVE To research the effect and mechanism of fermentation of Astragalus membranaceus on endogenous metabolites in hyperuricemia model rats using serum UHPLC-HRMS. METHODS The SD rats were randomly divided into different groups, including blank group, model group, benzbromarone group(20 mg·kg-1), as well as fermentation of Astragalus membranaceus high-dose(3 g·kg-1) and low-dose group(1.5 g·kg-1). Model group and each treatment group were disposed with 300 mg·kg-1 oxonic acid potassium to establish hyperuricemia models. At the time of 1 h after modeling, rats in each treatment group were given corresponding drugs for intervention. Collected rat serum after 14 d. The serum of different groups were collected for endogenous metabolites research using UHPLC-HRMS. After multivariate statistical analysis, the different metabolites and metabolic pathways were selected. RESULTS The hyperuricemia rat modes were successfully established by oxonic acid potassium 14 d, and fermentation of Astragalus membranaceus showed good uric acid reducing effect. Compared with the blank group, 17 potential biomarkers associated with hyperuricemia were found in the model group. Among them, 9 potential biomarkers were significantly recalled by fermentation of Astragalus membranaceus. It mainly involved sphingolipid metabolism, pyrimidine metabolism, tryptophan metabolism, pantothenic acid and CoA biosynthesis, glycine, serine and threonine metabolism and other pathway. CONCLUSION This study can provide a basis for revealing the mechanism of reducing uric acid by fermentation of Astragalus membranaceus, and lay a foundation for the further development and utilization of Astragalus.

ObjectiveTo explore the therapeutic effect and mechanism of the Danhe granules on hypercholesterolemia rats by observing the changes in the efficacy indicators and the levels of proteins related to the cholesterol metabolism pathway in the rats under the intervention of Danhe granules. MethodSD rats were randomly assigned to either the blank group or the model group based on their body weight. The blank group had normal chow diets， while the model group was fed high-fat diets for seven weeks. One week after the establishment of the model， the content of the serum total cholesterol （TC） in the model rats was detected. According to the TC value， the model group was further randomly divided into a control group， pravastatin sodium tablet group（4.02 mg·kg^-1）， Xuezhikang capsule group（0.12 g·kg^-1）， high-dose， middle-dose， and low-dose groups of Danhe granules（4.536， 2.268， 1.134 g·kg^-1）. After grouping the model groups， each treatment group received continuous oral gavage for six weeks， with weekly measurements of body weight and food intake （the difference between feed intake and feed surplus）. Six weeks later， the levels of serum TC， triglyceride （TG）， low-density lipoprotein cholesterol （LDL-C）， and high-density lipoprotein cholesterol （HDL-C） were measured. The liver pathology and lipid droplet distribution were evaluated by hematoxylin-eosin （HE） staining and oil red O staining， with scoring and calculation conducted. Rat liver tissue was collected， and western blot and immunohistochemistry （IHC） were used to detect the expression levels of cholesterol metabolism-related proteins namely phosphorylated adenosine 5'-monophosphate （AMP）-activated protein kinase （p-AMPK）， AMPK， 3-hydroxy-3-methyl glutaryl coenzyme A reductase （HMGCR）， low-density lipoprotein receptor （LDLR）， cholesterol 7α-hydroxylase （CYP7A1）， Acyl-coenzyme A： cholesterol acyltransferase 2 （ACAT2）， and apolipoprotein B （ApoB） in hypercholesterolemia rats. ResultCompared with the blank group， the model group showed a significantly higher level of serum TC （P<0.01）. The TG level had no significant change， and the HDL-C level was significantly decreased （P<0.05）. The liver index， steatosis score， total score of pathological state， and the positive area ratio of oil red O staining were significantly increased （P<0.01）， and the protein expression levels of p-AMPK， p-AMPK/AMPK， LDLR， and CYP7A1 were significantly decreased （P<0.05， P<0.01）， while the protein expression levels of AMPK， HMGCR， and ACAT2 were significantly increased （P<0.05， P<0.01）. Compared with the model group， the TC level in each dose group of Danhe granules was significantly decreased （P<0.05）， and the positive area ratio of oil red O staining in the pravastatin sodium tablet group and medium-dose group of Danhe granules was significantly decreased （P<0.05）. In each administration group， the protein expression levels of p-AMPK and p-AMPK/AMPK were significantly increased （P<0.05， P<0.01）， and the levels of HMGCR and ACAT2 were significantly decreased （P<0.01）. The ApoB level showed a downward trend. The CYP7A1 level in the pravastatin sodium tablet group and each dose group of Danhe granules was significantly increased （P<0.05， P<0.01）， and the LDLR level in the pravastatin sodium tablet group， Xuezhikang capsule group， and high-dose and medium-dose groups of Danhe granules was significantly increased （P<0.05， P<0.01）. ConclusionDanhe granules can reduce serum TC levels and improve hepatic steatosis. It may activate AMPK， down-regulate the expression of HMGCR， and inhibit cholesterol synthesis. It can also up-regulate the expression of LDLR and CYP7A1， promote cholesterol uptake and excretion， down-regulate the expression of ACAT2 and ApoB， reduce cholesterol absorption and assembly of LDL and other lipoproteins， and thus play a role in the treatment of hypercholesterolemia.