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Development and performance evaluation of a biochemical kit for identification ofEnterobacteriaceae based on numerical identification method
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Lexuan JIN1, 2, Qiang WAN3, Lulu CAO1, 2, Qinghua YE2, *, Xun WANG3, Jumei ZHANG2, Zhihe CAI3, Qingping WU1, 2, *
Acta Microbiologica Sinica | 2024, 64(5) : 1668 - 1682
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Acta Microbiologica Sinica | 2024, 64(5): 1668-1682
• Technology and Method •
Development and performance evaluation of a biochemical kit for identification ofEnterobacteriaceae based on numerical identification method
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Lexuan JIN1, 2, Qiang WAN3, Lulu CAO1, 2, Qinghua YE2, *, Xun WANG3, Jumei ZHANG2, Zhihe CAI3, Qingping WU1, 2, *
Affiliations
  • 1 School of Food and Biological Engineering, Hefei University of Technology, Hefei 230601, Anhui, China
  • 2 State Key Laboratory of Applied Microbiology Southern China, Guangdong Provincial Key Laboratory of Microbial Safety and Health, National Health Commission Science and Technology Innovation Platform for Nutrition and Safety of Microbial Food, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, Guangdong, China
  • 3 Guangdong Huankai Biotechnology Co., Ltd., Zhaoqing 526238, Guangdong, China
Published: 2024-05-04 doi: 10.13343/j.cnki.wsxb.20230701
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[Background] Bacteria ofEnterobacteriaceae are the main pathogens of foodborne and clinical infections, posing a threat to human and animal health. The numerical identification method using API 20E as the "gold standard" is one of the main identification methods forEnterobacteriaceae. However, the existing numerical identification methods have problems such as laborious sample addition, low accuracy, and high prices. [Objective] To develop a semi-automatic, high-precision, and low-cost biochemical kit for identifying the bacteria ofEnterobacteriaceae based on the numerical identification method. [Methods] On the basis of the theoretical model and supporting software of the numerical identification system forEnterobacteriaceae established by our team, we designed and optimized 24 biochemical matrix trace formulations. Furthermore, a semi-automatic freeze-drying identification strip was developed. Using the commercialized numerical identification strip API 20E, MALDI-TOF MS, and 16S rRNA gene sequencing as the controls, we evaluated the performance of the developed biochemical kit that integrated semi-automatic biochemical identification strips and online analysis software. [Results] The biochemical spectra of 458 strains ofEnterobacteriaceae were obtained, with the overall identification accuracy of 98.5% at the genus level and 96.5% at the species level. The kit only needed twice sample addition to obtain the identification results, with the price only 4.46% that of API 20E. The shelf life of the product was 7 days, and the biochemical experiments had repeatability. [Conclusion] We develop a semi-automatic biochemical kit for identification ofEnterobacteriaceae based on the numerical identification method, which has simple operation, a low cost, and high accuracy. This study provides technical support for the identification ofEnterobacteriaceae and the development of biochemical products for numerical identification of other families and genera of bacteria.

Enterobacteriaceae  /  numerical identification  /  biochemical kit  /  performance evaluation
Lexuan JIN, Qiang WAN, Lulu CAO, Qinghua YE, Xun WANG, Jumei ZHANG, Zhihe CAI, Qingping WU. Development and performance evaluation of a biochemical kit for identification ofEnterobacteriaceae based on numerical identification method[J]. Acta Microbiologica Sinica, 2024 , 64 (5) : 1668 -1682 . DOI: 10.13343/j.cnki.wsxb.20230701
Funding
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  • National Key Research and Development Program of China(2022YFF1100700)
  • Natural Science Foundation of Guangdong Province(2022A1515011740)
Appendix
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Year 2024 volume 64 Issue 5
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109
49
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Article Info
doi: 10.13343/j.cnki.wsxb.20230701
  • Receive Date：2023-11-15
  • Online Date：2026-03-19
  • Published：2024-05-04
Article Data
Affiliations
History
  • Received：2023-11-15
  • Accepted：2024-02-19
Funding
National Key Research and Development Program of China(2022YFF1100700)
Natural Science Foundation of Guangdong Province(2022A1515011740)
Affiliations
    1 School of Food and Biological Engineering, Hefei University of Technology, Hefei 230601, Anhui, China
    2 State Key Laboratory of Applied Microbiology Southern China, Guangdong Provincial Key Laboratory of Microbial Safety and Health, National Health Commission Science and Technology Innovation Platform for Nutrition and Safety of Microbial Food, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, Guangdong, China
    3 Guangdong Huankai Biotechnology Co., Ltd., Zhaoqing 526238, Guangdong, China

Corresponding:

*E-mail: YE Qinghua,;
E-mail: WU Qingping,
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
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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