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1.
China Journal of Chinese Materia Medica ; (24): 22-29, 2023.
Article in Chinese | WPRIM | ID: wpr-970497

ABSTRACT

Owing to the advancement in pharmaceutical technology, traditional Chinese medicine industry has seen rapid development. Preferring conventional manufacturing mode, pharmaceutical enterprises of traditional Chinese medicine have no effective process detection tools and process control methods. As a result, the quality of the final products mainly depends on testing and the quality is inconsistent in the same batch. Process analytical technology(PAT) for traditional Chinese medicine manufacturing, as one of the key advanced manufacturing techniques, can break through the bottleneck in quality control of medicine manufacturing, thus improving the production efficiency and product quality and reducing the material and energy consumption. It is applicable to the process control and real-time release of advanced manufacturing modes such as intelligent manufacturing and continuous manufacturing. This paper summarized the general idea of PAT for traditional Chinese medicine manufacturing. Through the analysis of the characteristics and status quo of the technology, we summed up the methodology for the continuous application and improvement of PAT during the whole life-cycle of traditional Chinese medicine. The five key procedures(process understanding, process detection, process modeling, process control, and continuous improvement) were summarized, and the application was reviewed. Finally, we proposed suggestions for the technical and regulatory challenges in implementing PAT in traditional Chinese medicine industry. This paper aims to provide a reference for development and application of PAT in advanced manufacturing, intelligent manufacturing, and continuous manufacturing of traditional Chinese medicine industry.


Subject(s)
Medicine, Chinese Traditional , Drugs, Chinese Herbal , Technology, Pharmaceutical , Drug Industry , Quality Control
2.
China Journal of Chinese Materia Medica ; (24): 2465-2473, 2022.
Article in Chinese | WPRIM | ID: wpr-928126

ABSTRACT

Physical attributes of Chinese herbal extracts are determined by their chemical components, and the physical and chemical attributes jointly affect the preparation process performance and the final product quality. Therefore, in order to improve the quality control of Chinese herbal extracts, we should comprehensively study the batch-to-batch consistency of physical and chemical attributes as well as the correlations between them. This paper first explored the physical attributes affecting the preparation process performance of the compound Danshen extract and developed a method for characterizing the texture attributes. With such main chemical components as water, phenolic acids, saponins, and saccharides and texture, rheology, and other physical attributes taken into consideration, the batch-to-batch quality fluctuation of products from different production lines and time was analyzed by principal components analysis(PCA). Finally, the correlation and partial least squares(PLS) analysis was conducted, and the regression equation was established. The fitting result of the PLS model for dynamic viscosity was satisfying(R~2Y=0.857, Q~2=0.793), suggesting that the chemical components could be adjusted by the component transfer rate in the extraction process, the impurity removal rate in the alcohol precipitation process, and the water retention rate of the concentration process to meet the control of the extract dynamic viscosity. This study clarified the correlations between physical and chemical attributes of the compound Danshen extract and established a method for controlling its physical attributes based on process regulation, which would provide reference for improving the quality control of Chinese herbal extracts.


Subject(s)
Drugs, Chinese Herbal/chemistry , Quality Control , Salvia miltiorrhiza/chemistry , Water
3.
Chinese Journal of Epidemiology ; (12): 47-50, 2010.
Article in Chinese | WPRIM | ID: wpr-321002

ABSTRACT

Objective To investigate the prevalence of anti-hepatitis E virus (HEV) and genotypes of hepatitis E virus in 8 species of animals including swine, cattle, sheep, horse, donkey, dog, chicken and duck in the suburb of Beijing. Methods Serum samples were collected from the 8 species of animals, and fecal samples of younger swine were collected from 2 stock farms. Anti-HEV was detected by Double Antigen Sandwich Assay. HEV RNA from fecal samples was detected by a reverse transcription nested polymerase chain reaction (RT-nPCR). Parts of the PCR products were cloned and sequenced. The swine HEV sequences were analyzed genetically. Results The positive rates of anti-HEV in serum specimens of swine, cattle, horse, donkey, sheep, dog, duck and chicken were 80.43%(481/598), 15.02%(52/346), 14.29%(40/280) ,0(0/26) ,9.88%(33/334), 0(0/ 21) ,3.03% (7/231) and 2.53%(8/316), respectively. The anti-HEV prevalence of adult swine(≥6 months)and younger swine(≤3 months)were 87.86%(369/420)and 62.92%(112/178)respectively. 74 of 111 (66.67% ) pig faces were positive for HEV RNA. Sequence analysis on these positive samples showed that there were 6 groups of HEV designated as bjsw1, bjsw2, bjsw3, bjsw4, bjsw5 and bjsw6. The 6 strains of HEV shared 94.5%-99.6% sequence identity of partial HEV ORF2 nucleotide with each other. The identities of HEV ORF2 nucleotide sequences between the 6 strains and genotype 1, 2, 3 and 4 were 75.6%-78.6% , 75.6%-76.2%, 77.1%-80.7% and 83.7%-94.5%, respectively. The sequence identity between the 6 strains and human HEV genotype 4d was 90.0%-94.5% . Conclusion HEV infection was seen in swine, cattle, horse, sheep, duck and chicken in the suburbs of Beijing. The anti-HEV positive rate appeared the highest in swine and the lowest in dog and donkey. The six strains of HEV isolated from younger swine belonged to genotype 4d.

4.
Chinese Journal of Experimental and Clinical Virology ; (6): 127-128, 2004.
Article in Chinese | WPRIM | ID: wpr-281837

ABSTRACT

<p><b>BACKGROUND</b>To investigate the prevalence of anti-HEV among swine, sheep and chickens.</p><p><b>METHODS</b>Totally 498 sera of swine, sheep and chickens collected from Xingjiang, Guangxi, Guangdong, Beijing and Hebei were detected for the anti-HEV by an enzyme linked immunoassay.</p><p><b>RESULTS</b>The anti-HEV positive rate of swine was 67.53%(104/154), in pigs between 4-5 months of age the rate was 100.00%(9/9) from Xingjiang. The rate in pigs under 3 months of age from Guangxi was 36.00%(9/25) and in pigs older than six months of age was 71.67% (86/120), respectively. The 108 sera of sheep collected from Xingjiang were all negative. The positive rate of chickens was only 1.27% (3/236). The anti-HEV prevalence rates of chickens from Luoding, Shenzhen, Liuzhou, Beijing and Hebei were 4.00%, 1.49%, 1.49%, 0, 0 respectively.</p><p><b>CONCLUSION</b>HEV infection does exist among swine and chickens. The anti-HEV prevalence of swine was the highest among domestic animals. The role of swine and chickens in transmission of HEV needs to be further studied.</p>


Subject(s)
Animals , Antibodies, Viral , Chickens , China , Epidemiology , Hepatitis Antibodies , Blood , Hepatitis E , Epidemiology , Hepatitis E virus , Allergy and Immunology , Poultry Diseases , Epidemiology , Virology , Prevalence , Sheep , Sheep Diseases , Epidemiology , Virology , Swine , Swine Diseases , Epidemiology , Virology
5.
Chinese Journal of Hepatology ; (12): 405-407, 2003.
Article in Chinese | WPRIM | ID: wpr-305917

ABSTRACT

<p><b>OBJECTIVES</b>To investigate HEV infection in swine and the genotype relationship between swine and human HEV.</p><p><b>METHODS</b>Anti-HEV IgG antibody was detected in the sera of swine using enzyme linked immunoassay (EIA), and HEV RNA was amplified by reverse transcription nested polymerase chain reaction (RT-nPCR). The Vector NTI Suite 7 and TreeView softwares were used for nucleotide sequences phylogenetic analysis of HEV isolated from human and swine.</p><p><b>RESULTS</b>The anti-HEV IgG positive rate was 16.67% (18/108). Among the 18 anti-HEV IgG positive sera, 2 sequences (11.11%, called S18 and S43, respectively) of HEV ORF1 (102-387bp) were amplified, with the identity of 99% between them. They had 76% to 77%, 78%, 76% to 79%, 85% to 86%, 77%, 80%, 79% and 75% - 79% homology at the nucleotide level with human HEV genotypes 1 to 8, respectively. One (S18) of them was also amplified out in ORF2 region (5,994-6 297bp) and showed 76% to 78%, 74%, 74% to 77%, and 85% to 94% identity with human HEV genotypes 1 to 4 at the nucleotide level, respectively.</p><p><b>CONCLUSION</b>HEV sequences isolated from swine belong to human HEV genotype 4.</p>


Subject(s)
Animals , Antibodies, Viral , Blood , Base Sequence , Hepatitis E , Hepatitis E virus , Classification , Genetics , Immunoglobulin G , Blood , Molecular Sequence Data , RNA, Viral , Chemistry , Reverse Transcriptase Polymerase Chain Reaction , Swine , Swine Diseases , Virology
6.
Chinese Journal of Biotechnology ; (12): 244-248, 2003.
Article in Chinese | WPRIM | ID: wpr-270104

ABSTRACT

In eukaryotes protein phosphorytion is a key event. By reversible protein phosphorylation eukaryotes control many cellular processes including signal transduction, gene expression, the cell cycle etc. Phosphoproteomics involves identification of phosphoproteins and phosphopeptides, localization of the exact residues that are phosphorylated and quantitation of phosphorylation. Because protein phosphorylation is a dynamic process, and it is present at low abundance within cells, and the phosphorylated sites on proteins might vary, and mass spectrometry (MS) signals from phosphopeptides are usually suppressed etc., so phosphoprotein analysis have more difficulties than nonphosphoprotein. In this article, we outline several analysis techniques for separation, identification and quantitation of phosphorylated proteins and peptides, and discuss the progress in these techniques. At present, MS is still an essential core identification technology for phosphoproteomic studies, To search better enrichment strategies are the main challenges in this rapidly evolving field. A major goal of quantitative proteomics is precise quantification and identification of proteins in complex mixtures. A common method for quantitative proteome analysis is the stable isotope labeling method. Today there is no single method that supersedes all others techniques for Phosphoproteomic studies. With continued development of sample preparation techniques and instrumentation, it should be possible to perform a global analysis of protein phosphorylation.


Subject(s)
Animals , Humans , Mass Spectrometry , Phosphoproteins , Phosphorylation , Proteomics , Methods
7.
Chinese Journal of Microsurgery ; (6)2000.
Article in Chinese | WPRIM | ID: wpr-676427

ABSTRACT

Objective To establish a method for isolation and cultivation of human invasive pituitary adenoma-derived fibroblast in vitro and explore their biological properties in order to investigate the role of the fibroblasts in the invasive growth of the pituitary adenoma.Methods The fibroblasts were isolated from hu- man invasive pituitary adenoma tissue by different rate of adhesion.Primary culture and passage culture were carried out,and growth characteristics of fibroblasts were observed under phase-contrast microscope in primary and passage culture.Immunohistochemical technique was used to identify the fibroblasts.The cell growth curve was measured by MTT method.The ultrastructure was observed under electronmicroscope.Results The cultured invasive pituitary adenoma-derived fibroblasts showed active proliferative ability.The cell bodies was bigger than other tissue fibroblasts,and the cell shape was irregular.The rough endoplasmic reticulum, Golgi complex and ribosome were profuse in the cytoplasm.The positive expression rate of collagen[and vi- mentin of the fibroblasts were above 95%.Conclusion The method of different rate of adhesion is success- fully utilized to culture human invasive pituitary adenoma-derived fibroblasts.These cells showed active prolif- erative ability,and maybe have an importent function in the invasive growth of the pituitary adenoma.

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