RESUMO
This study focuses on the microbial quality control of the Chinese herbal decoction pieces. In view of the shortcomings of traditional culture methods such as slow detection speed and inability to detect unculturable microorganisms, a new method based on ATP bioluminescence technology combined with statistical analysis methods was established to rapidly predict and quantitatively detect the total aerobic microbial count (TAMC) and total yeast and mold count (TYMC) contaminated Bupleurum chinense DC. decoction pieces. Based on the optimized ATP bioluminesence detection system, accurate detection of pure bacterial solution of Escherichia coli, Bacillus subtilis and Staphylococcus aureus can be achieved, with detection limits of 47.86, 89.13 and 1 862.09 CFU·mL-1, respectively. The detection time was 6.5 h, and the detection cost was as low as 2 yuan/time. The upper and lower warning limits of TAMC were determined by the misjudgment rates of 10% and 20%, respectively. And the warning limit of TYMC was determined by the misjudgment rate of 20%. The proposed crossing method could quickly predict the amount of microbial contamination in Bupleurum chinense DC. decoction pieces. The constructed partial least squares regression (PLSR) model could accurately quantify the quantity of microbial contamination in Bupleurum chinense DC. decoction pieces. The optimal PLSR prediction model for TAMC had a correction coefficient (R2) of 0.826, a root mean square error of correction set (RMSEE) of 0.468 and a root mean square error of cross-validation set (RMSECV) of 0.465. The R2, RMSEE and RMSECV in the prediction model of TYMC were 0.778, 0.543 and 0.541, respectively. The aim of this study is to establish a kind of rapid detection method and prediction models for the microbial limit of traditional Chinese medicine and Chinese herbal decoction pieces, and to provide a more convenient and sensitive detection technology for the microbial quality process control of traditional Chinese medicine products.
RESUMO
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.
RESUMO
Oscillating chemical fingerprint is a nonlinear dynamic fingerprint technology that reflects the overall redox activity of the entire system based on potential-time changes in multi-stage chemical reactions. This article summarizes the application of oscillating chemical fingerprint technology combined with mathematical analysis method in the qualitative and quantitative analysis of traditional Chinese medicine and food in recent years, including similarity analysis, principal component analysis, cluster analysis and other qua-litative analysis methods, as well as linear, logarithmic, exponential, polynomial, multivariate analysis and other quantitative analysis methods, so as to provide meaningful information for further quality control analysis of the oscillation chemical fingerprint technology in the field of traditional Chinese medicine and food.