A simulating method for dripping process of Ginkgo biloba leaf dripping pills based on computational fluid dynamics was constructed. Ginkgo biloba leaf dripping pills was explored as the experimental subject to simulate the dripping process based on FLOW-3D software. The dripping process was simulated through the derivation of the governing equations, the selection of the models, and simulation parameters. Firstly, the droplet morphologies and drop speeds under different liquid viscosity were simulated. It was found that with the increase of the liquid viscosity, the drop speed decreased and the difficulty of droplet preparation gradually increased. The simulation results were consistent with the experiment results. Secondly, the droplet morphologies at different drop speeds were investigated and verified by experiments. It was found that the simulation results had a good correlation with the experiment results. The results shown that the viscosity of the liquid was the critical material attribute, and the drop speed was the critical process parameter, according to the droplet morphology. The establishment of the simulation method can deepen the understanding of the dripping process and provide a reference for the selection of raw materials and process parameters.

Hide melting presents itself as one of the most critical processes in the production of donkey-hide gelatin. Here a NIR-based method was established for the rapid analysis of in-process hide melting solutions as well as for end-point determination of this process. Near infrared (NIR) spectra of hide melting solutions were collected in transflective mode. With the contents of total nitrogen determined by the Kjeldahl method as reference values, partial least squares regression (PLSR) was employed to build calibration models between NIR spectra and total nitrogen. Model parameters including wavelength range and PLS factors were optimized to achieve best model performance. Based on the contents of total nitrogen predicted by calibration model, end point of hide melting was determined. The constructed PLS model gave a high correlation coefficient (R2) of 0.991 3 and a root mean square error of prediction (RMSEP) of 0.807 g x L(-1). With the predicted total nitrogen and predefined limit, decisions concerning the proper times of melting were made. This research demonstrated that NIR transflectance spectroscopy could be used to expeditiously determine the contents of total nitrogen which was subsequently chosen as the indictor for determining the end-point of hide melting. The proposed procedure may help avoid unnecessary raw material or energy consumption.
Animals ; Calibration ; Endpoint Determination ; methods ; Equidae ; anatomy & histology ; Gelatin ; chemistry ; Least-Squares Analysis ; Nitrogen ; analysis ; chemistry ; Skin ; chemistry ; Spectrophotometry, Infrared ; Time Factors ; Transition Temperature

In this paper, NIRS (near infrared spectroscopy)-based total quality control system for the Tanreqing injection was introduced briefly. By analyzing and summing up the significance and difficulties, several important problems of the practical applications which need urgent solutions are proposed. And also the applicationprospect of NIRS is fully discussed and put forward in the end.
Drug Compounding ; standards ; Drugs, Chinese Herbal ; administration & dosage ; analysis ; standards ; Injections ; Quality Control ; Reproducibility of Results ; Spectroscopy, Near-Infrared ; methods

During the washing process of coarse bear gall powder extracts, it is necessary to adjust the amount of ethyl acetate according to the properties of raw materials, which aims to improving the yield and purity of the final product. In the research, using NIR spectra to reflect the comprehensive properties of coarse bear gall powder extracts, the process is optimized in a flexible way. Forty batches experiments are designed according to the weight ratio of ethyl acetate and coarse extracts of bear gall powder. The NIR spectra of the coarse extracts of bear gall powder are collected and processed using principal component analysis (PCA) method. The first 8 principal components combined with the amount of the ethyl acetate are used as the input variables, and calibration models are established to predict the yield and purity of the final product 30 batches are used as calibration set, which is used to establish the models, and other 10 batches are used as validation set, which is used for the performance appraisal of the established models. The correlation coefficients of the calibration, inner cross-validation and external validation for the purity model are 0.902, 0.896 and 0.883, respectively, and the RMSEC, RMSECV and RMSEP are 1.22%, 1.48% and 1.59%, respectively. The correlation coefficients of the calibration, inner cross-validation and external validation for the yield model are 0.921, 0.859 and 0.916, respectively, and the RMSEC, RMSECV and RMSEP are 1.39%, 1.65% and 1.53% respectively. This work demonstrated that NIR spectra combined with technology parameter could be used to predict the yield and purity of the final product. Using the established models, the most appropriate amount of the ethyl acetate can be determined according to the properties of the coarse bear gall powder extracts, and the yield and purity of the final product can be improved.
Acetates ; chemistry ; Animals ; Gallbladder ; chemistry ; Medicine, Chinese Traditional ; Powders ; chemistry ; Principal Component Analysis ; methods ; Spectroscopy, Near-Infrared ; methods ; Ursidae

In near-infrared (NIR) analysis of plant extracts, excessive background often exists in near-infrared spectra. The detection of active constituents is difficult because of excessive background, and correction of this problem remains difficult. In this work, the orthogonal signal correction (OSC) method was used to correct excessive background. The method was also compared with several classical background correction methods, such as offset correction, multiplicative scatter correction (MSC), standard normal variate (SNV) transformation, de-trending (DT), first derivative, second derivative and wavelet methods. A simulated dataset and a real NIR spectral dataset were used to test the efficiency of different background correction methods. The results showed that OSC is the only effective method for correcting excessive background.
Algorithms ; Artifacts ; Computer Simulation ; Coptis ; chemistry ; Models, Chemical ; Models, Statistical ; Multivariate Analysis ; Plant Extracts ; analysis ; chemistry ; Principal Component Analysis ; Spectrophotometry, Infrared ; methods

OBJECTIVEIntegrating column switching for on-line concentration and programmed injection, a novel HPLC method is developed for simultaneous determination of high-content water-soluble components (danshensu, protocatechualdehyde, salvianolic acid B) and trace nerolidol in Xiangdan injection. The concentrations of water-soluble components in Xiangdan injection are roughly 1000 times of that of nerolidol.

METHODThe on-line concentration was performed on a Zorbax SB-C18 guard column. The separation was carried out on Lichrospher C18 column (4.6 mm x 250 mm, 5 microm). The mobile phase of guard column was mixtures of acetonitrile and 1.0% acetic acid water, and the flow rate was 0.5 mL x min(-1). The mobile phase of the analytical column was mixtures of acetonitrile and 0.05% acetic acid water, and the flow rate was set at 1.0 mL x min(-1). The column temperature was maintained at 40 degrees C, and the detection wavelength was 280 nm at 0-40 min, 210 nm at 40-55 min. The program injection was 10 microL of sample solution 1 at 0 min, 200 microL of sample solution 2 at 15.3 min.

RESULTThe calibration curves of danshensu, protocatechualdehyde, salvianolic acid B and nerolidol showed good linear regression (R2 > 0.9990) within investigated concentration ranges. The average recoveries of the four analytes were between l00% and 102%, and the RSD values were less than 3.0%. For danshensu, protocatechualdehyde, salvianolic acid B and nerolidol, the limits of detection at a signal-to-noise (S/N) ratio of 3 were 17.1, 0.473, 60.2, 50.6 microg x L(-1), respectively.

CONCLUSIONThe method is a simple, sensitive and repeatable approach. More importantly, results indicate that the present method shows promising prospect for quality control of Xiangdan injection.

Based on the review of some engineering problems on developing modern production industry of Traditional Chinese Medicine (TCM), the differences of TCM production industry between China and abroad were pointed out. Accelerating the application and extension of high-tech and computer integrated manufacturing system (CIMS) were suggested to promote the technology advancement of TCM industry.
Computers ; Drugs, Chinese Herbal ; administration & dosage ; isolation & purification ; Plants, Medicinal ; chemistry ; Quality Control ; Technology, Pharmaceutical ; methods

Objective To investigate the possible role of interstitial cell of Cajal (ICE)in the pathogenesis of diabetic gastroparesis and the protective effect of"Xiaopi prescription (消痞方)".Methods Fifty healthy male Spregue-Dawley (SD) rats were randomly divided into 5 groups (each n=10):normal, model,and 3 Xiaopi prescription groups:low,middle and high dosages.Diabetes was induced by intravenous injection of alloxan,and equal amount of normal saline was intravenously injected in the normal group.Gastric lavage method was used to administer the traditional Chinese medicine decoction of Xiaopi prescription in corresponding amount (5,10 and 20 g?kg~(-1)?d~(-1)) in respective low,middle and high dosage groups.In the normal control group and diabetic model group,only equal amount of normal saline was administered into the stomach.Gastric emptying rate was measured by method of nutritious semisolid paste;c-kit positive cells of ICC were quantitatively measured with immunohistochemistry assay and computer image analysis system;c-kit mRNA positive cells were quantitatively measured with in situ hybridization and computer image analysis system.Results①Gastric emptying rate:The rate was significantly lower in the model group than that in the normal control group (P0.05),but higher than those in the model group and the low dosage group (all P0.05).②c-kit immmunohistochemistry:c-kit positive cell presented yellow in color,and its membrane was stained yellow,this kind of cells primarily were distributed around the neural plexus in the inter-space between the circular and longitudinal muscular fibers, and around the ganglionic cells forming"sheath-like"structure.The results of numbers of c-kit positive cells in the various groups:the number of the cells in the model group was significantly lower than that in the normal group (P0.05),but the numbers in the former two dosage groups were obviously higher than those in the model group (all P0.05),being significantly lower than that in the normal group,middle and high dosage groups (all P0.05),but obviously higher than those in the model group (all P0.05),being significantly lower than that in the normal,middle and high dosage groups (all P

In this work, a rapid analysis method basing on ultraviolet spectroscopy was established for the determination of danshensu, protocatechuic aldehyde, rosmarinci acid, lithospermic acid and salvianolic acid B in the extraction process of Danhong injection. In the extraction process of Danshen and Honghua crude drugs, 44 extraction solution samples were collected and the contents of the five components were determined by HPLC analysis. The ultraviolet spectra of the samples were collected. Partial least square regression was used to establish the multivariate calibration models between the ultraviolet spectra and the contents of the five components. The results showed that the established models could predict the contents of the five components in the extraction solution accurately. The ultraviolet spectroscopy method established in this work can be used for rapid analysis of the intermediates of Danhong injection, which may be applied for the quality control in the manufacturing process.
Chemistry, Pharmaceutical ; standards ; Chromatography, High Pressure Liquid ; Drugs, Chinese Herbal ; analysis ; isolation & purification ; Quality Control ; Salvia miltiorrhiza ; chemistry ; Spectrophotometry, Ultraviolet ; methods

OBJECTIVETo establish a method integrating multi-targets for determining critical process parameters of the manufacturing process of traditional Chinese medicine.

METHODThe ethanol precipitation process of Danhong injection was taken as an application case of the method established. Fractional factorial design of experiments were conducted. Mathematical models relating seven process parameters to ten targets in the ethanol precipitation process were established. Then the sums of the absolute values of the regression coefficients in the models were used to evaluate the criticality of process parameters.

RESULTWater content in the concentrate, ethanol concentration and ethanol consumption were identified as the critical process parameters.

CONCLUSIONThe method established can integrate multi-targets effectively for the evaluation of critical process parameters.