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1.
Chinese Journal of Experimental Traditional Medical Formulae ; (24): 247-253, 2022.
Article in Chinese | WPRIM | ID: wpr-940442

ABSTRACT

Pathogenic bacterial infection is one of the main clinical symptoms. Antibiotics are widely used in clinical practice to inhibit or kill the bacteria, fungi and other pathogenic microorganisms. However, with the massive use of antibiotics, drug-resistant strains continue to appear that make the antibacterial situation is becoming increasingly severe. Due to the advantages of multiple targets, multiple pathways and multiple components, traditional Chinese medicine (TCM) have gradually attracted more attention and were used in antibacterial treatment. However, some antimicrobial TCM have problems such as low solubility, poor stability, and low bioavailability. Improving and enhancing the antibacterial activity of TCM through preparation technology is one of the effective solutions. Based on this, two aspects of unilateral antibacterial TCM preparation technology and combination antibacterial preparation technology are introduced, including inclusion technology, nanotechnology, electrospinning, 3D printing and others. Distinctive features and specific application effects of these preparation technologies are explained firstly, and then their advantages and disadvantages are compared and analyzed. The review can be a useful reference for improving the antibacterial activity of TCM.

2.
China Journal of Chinese Materia Medica ; (24): 2406-2410, 2020.
Article in Chinese | WPRIM | ID: wpr-827934

ABSTRACT

A new method for qualitative and quantitative analysis of Rhodobryum giganteum by using the nonlinear oscillating chemical was established for improving the quality control standard of R. giganteum. Its potential(E)/time(t) curve was recorded by electrochemical workstation in the oscillation reaction system of BrO~-_3-Ce(SO_4)_2-H_2SO_4-malonic acid/tartaric acid. The nonlinear oscillating chemical fingerprints were investigated for repeatability, and it was found that the RSD values of the four characteristic parameters of R. giganteum were less than 4.1%, indicating a good repeatability and high precision of this experiment. After optimizing the experimental parameters such as particle size, rotation speed and temperature, a new method based on nonlinear oscillating chemical was used for qualitative and quantitative analysis of R. giganteum. The results showed that there was a good linear relationship between the induction time/the period of oscillation and the dosage of herbs(0.1-1.1 g), with the relative coefficients of 0.978 and 0.975, respectively. Besides, the highest potential showed a nonlinear relationship with the dosage of herbs, with the relative coefficient of 0.999. This method was also used to discriminate the R. giganteum and R. roseum. They were similar in appearance, but their fingerprints were quite different. Independent sample t test results showed that there were significant differences in the oscillation time, the maximum amplitude and the induction time, providing a basis for the identification of the basic sources of Herba Rhodobryi Rasei.


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Quality Control
3.
China Journal of Chinese Materia Medica ; (24): 3537-3542, 2016.
Article in Chinese | WPRIM | ID: wpr-307124

ABSTRACT

The manufacture of traditional Chinese medicine (TCM) products is always accompanied by processing complex raw materials and real-time monitoring of the manufacturing process. In this study, we investigated different modeling strategies for the extraction process of licorice. Near-infrared spectra associate with the extraction time was used to detemine the states of the extraction processes. Three modeling approaches, i.e., principal component analysis (PCA), partial least squares regression (PLSR) and parallel factor analysis-PLSR (PARAFAC-PLSR), were adopted for the prediction of the real-time status of the process. The overall results indicated that PCA, PLSR and PARAFAC-PLSR can effectively detect the errors in the extraction procedure and predict the process trajectories, which has important significance for the monitoring and controlling of the extraction processes.

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