1.Optimization of molding process of Jinpuju Qingrelishi Granules by Response Surface Methodology
Weiwei CHEN ; Jincheng HUANG ; Jinxiang LI ; Ying QIN ; Yuyang LI ; Xiangcen LIU ; Xinggui TAN
International Journal of Traditional Chinese Medicine 2022;44(11):1273-1277
Objective:To optimize the best molding process of Jinpuju Qingrelishi Granules.Methods:Based on the single factor test, the relative density of clear ointment and the amount of diluent (dextrin∶lactose=2∶1) are used as investigating factors, and the overall evaluation of the molding rate and angle of repose overall desirability (OD) is used as the evaluation index. The effect surface method is used to optimize the best molding process of Jinpuju Qingrelishi Granules.Results:The best molding process conditions: the relative density of the clear paste is 1.20 (60 ℃) and the amount of diluent is 3 times that of the clear paste. After mixing the clear paste and diluent, make soft material, pass through a 14-mesh sieve to granulate, dry in an oven (55 ℃) for 1 hour, and sizing to obtain. The molding rates of the three batches of verification test granules were 93.73%, 93.03%, 95.59%, respectively, the predicted OD value was 0.928, the verification value was 0.936, and the deviation from the predicted value was -0.86%.Conclusion:The molding process of this experiment is stable and reliable, with good repeatability, which can provide a reference for the follow-up research of Jinpuju Qingrelishi Granules.
2.Genetic characteristics of multi-locus sequence typing of Brucella isolates in Guizhou Province from 2017 to 2021
Yue WANG ; Qinqin TAN ; Ying LIU ; Xinggui YANG ; Xia YING ; Qing MA ; Xiaoyu WEI ; Shijun LI
Chinese Journal of Endemiology 2023;42(5):351-355
Objective:To study the multi-locus sequence typing (MLST) gene characteristics of Brucella isolates in Guizhou Province. Methods:Brucella strains, which were isolated from 2017 to 2021 in Guizhou Province (preserved in the Bacterial and Viral Seed Bank of Guizhou Center for Disease Control and Prevention) were identified Brucella and species/types by BCSP31-PCR and AMOS-PCR methods, respectively. MLST method was used for genotyping, and Biometrics 8.0 software was used for cluster analysis of the typing results. Results:A total of 32 strains of Brucella were isolated in Guizhou Province and identified as Brucella melitensis ( B.melitensis) by BCSP31-PCR and AMOS-PCR methods. These strains were classified into 2 ST types (ST8 and ST39) by MLST method, with 28 strains of ST8 type(87.5%) and 4 strains of ST39 type (12.5%). The 28 strains of ST8 type were distributed in 7 cities (prefectures) of Guizhou Province, while the 4 strains of ST39 type were only found in Qianxinan Buyi and Miao Autonomous Prefecture. The cluster analysis results showed that ST8 and ST39 types strains were clustered in a group with the reference strain of B.melitensis, and there was only one nucleotide site difference between ST39 and ST8 types in the glk gene, indicating a close genetic relationship. Conclusions:B.melitensis is the main pathogen of the brucellosis epidemic in Guizhou Province in recent years. ST8 is the dominant MLST genotype in Guizhou Province.