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Rapid determination of microbial contamination of Bupleurum chinense DC. decoction slices by ATP bioluminescence technology combined with statistical analysis methods
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Ze-shuai ZHANG1, Mao-mei XIE1, You-qing WEN1, Yue-ling YAN1, Zheng LI1, 2, 3, Hai-xia WANG1, 2, 3, *
Acta Pharmaceutica Sinica | 2023, 58(10) : 2922 - 2930
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Acta Pharmaceutica Sinica | 2023, 58(10): 2922-2930
Rapid determination of microbial contamination of Bupleurum chinense DC. decoction slices by ATP bioluminescence technology combined with statistical analysis methods
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Ze-shuai ZHANG1, Mao-mei XIE1, You-qing WEN1, Yue-ling YAN1, Zheng LI1, 2, 3, Hai-xia WANG1, 2, 3, *
Affiliations
  • 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
Published: 2023-10-12 doi: 10.16438/j.0513-4870.2023-0207
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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.

ATP bioluminescence technology  /  statistical analysis  /  Chinese herbal decoction pieces  /  Bupleurum chinense DC.  /  microbial limit
Ze-shuai ZHANG, Mao-mei XIE, You-qing WEN, Yue-ling YAN, Zheng LI, Hai-xia WANG. Rapid determination of microbial contamination of Bupleurum chinense DC. decoction slices by ATP bioluminescence technology combined with statistical analysis methods[J]. Acta Pharmaceutica Sinica, 2023 , 58 (10) : 2922 -2930 . DOI: 10.16438/j.0513-4870.2023-0207
Year 2023 volume 58 Issue 10
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Article Info
doi: 10.16438/j.0513-4870.2023-0207
  • Receive Date:2023-02-22
  • Online Date:2025-11-21
  • Published:2023-10-12
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History
  • Received:2023-02-22
  • Revised:2023-04-26
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Affiliations
    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
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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