Rapid determination of microbial contamination of Bupleurum chinense DC. decoction slices by ATP bioluminescence technology combined with statistical analysis methods
10.16438/j.0513-4870.2023-0207
- VernacularTitle:ATP生物发光技术结合统计分析方法应用于柴胡饮片微生物污染快速判断
- Author:
Ze-shuai ZHANG
1
;
Mao-mei XIE
1
;
You-qing WEN
1
;
Yue-ling YAN
1
;
Zheng LI
1
,
2
,
3
;
Hai-xia WANG
1
,
2
,
3
Author Information
1. College of Pharmaceutical Engineering of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
2. State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
3. Haihe Laboratory of Modern Chinese Medicine, Tianjin 301617, China
- Publication Type:Research Article
- Keywords:
ATP bioluminescence technology;
statistical analysis;
Chinese herbal decoction pieces;
italic>Bupleurum chinense DC.;
microbial limit
- From:
Acta Pharmaceutica Sinica
2023;58(10):2922-2930
- CountryChina
- Language:Chinese
-
Abstract:
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.
