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Results and analysis of proficiency testing for microbiological identification and traceability in pharmaceuticals*
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Xiao-jie XU1, 2, 3, Dan-yang FENG1, 2, 3, Li-hong REN1, 2, 3, Xiao-li MENG1, 2, 3, Zhen SHEN1, 2, 3, Sheng XING1, 2, 3, Bo DING1, 2, 3, 4, **
Chinese Journal of Pharmaceutical Analysis | 2024, 44(3) : 427 - 433
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Chinese Journal of Pharmaceutical Analysis | 2024, 44(3): 427-433
Safety Monitoring
Results and analysis of proficiency testing for microbiological identification and traceability in pharmaceuticals*
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Xiao-jie XU1, 2, 3, Dan-yang FENG1, 2, 3, Li-hong REN1, 2, 3, Xiao-li MENG1, 2, 3, Zhen SHEN1, 2, 3, Sheng XING1, 2, 3, Bo DING1, 2, 3, 4, **
Affiliations
  • 1.Shandong Institute for Food and Drug Control,Jinan 250101,China
  • 2.Shandong Research Center of Engineering and Technology for Safety Inspection of Food and Drug,Jinan 250101,China
  • 3.Industrial Technology Foundation Public Service Platform,Jinan 250101,China
  • 4.School of Pharmaceutical Sciences Shandong University,Jinan 250012,China
Published: 2024-03-31 doi: 10.16155/j.0254-1793.2024.03.07
Outline
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Objective:

To evaluate the processing ability of identification,tracing and abnormal occurs in drug manufactures by the proficiency testing for microbiological identification and traceability in Shandong Province.

Methods:

The proficiency test was derived from an event of drug microbial contamination,and samples including contaminated products group and production group were designed to evaluate the testing and tracing competence of 264 participants from those aspects of drug control,identification,genetic comparison and traceability. The contaminated products group was composed of five simulated samples including one positive sample which included Enterobacter cloacae and Staphylococcus aureus,and four negative samples which were sterile. The production group was composed of five simulated samples including four positive samples and one negative sample,but each of the four positive sample included only one strain of Enterobacter cloacae,Staphylococcus aureusStaphylococous epidemidis and Pseudomons aeruginosa,respectively.

Results:

259 participants reported their results. The rate of unqualified,qualified,good and excellent results were 3.5%,49.8%,46.7% and 0,respectively. But four results reported phylogenetic tree based on 16S rRNA gene without genetic comparison at the strain level. The unqualified result indicated inaccurate inspection of positive and negative sample. The qualified result indicated accurate inspection but inaccurate species identification or not. The good result showed accurate species identification without effective tracing analysis.

Conclusion:

The ability of most drug manufactures to contaminant microorganisms testing are acceptable. But the ability of microbiological identification and traceability,the precise judgement and the effective measures to an emergency of microbial contamination in drugs remain to be strengthened.

proficiency testing  /  identification  /  microbial contamination  /  tracing  /  genetic comparison  /  microbiological test
Xiao-jie XU, Dan-yang FENG, Li-hong REN, Xiao-li MENG, Zhen SHEN, Sheng XING, Bo DING. Results and analysis of proficiency testing for microbiological identification and traceability in pharmaceuticals*[J]. Chinese Journal of Pharmaceutical Analysis, 2024 , 44 (3) : 427 -433 . DOI: 10.16155/j.0254-1793.2024.03.07
Year 2024 volume 44 Issue 3
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Article Info
doi: 10.16155/j.0254-1793.2024.03.07
  • Receive Date:2023-08-23
  • Online Date:2026-03-13
  • Published:2024-03-31
Article Data
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History
  • Received:2023-08-23
Funding
Affiliations
    1.Shandong Institute for Food and Drug Control,Jinan 250101,China
    2.Shandong Research Center of Engineering and Technology for Safety Inspection of Food and Drug,Jinan 250101,China
    3.Industrial Technology Foundation Public Service Platform,Jinan 250101,China
    4.School of Pharmaceutical Sciences Shandong University,Jinan 250012,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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