China Dairy ›› 2025, Vol. 0 ›› Issue (9): 108-117.doi: 10.12377/1671-4393.25.09.16

• QUALITY CONTROL • Previous Articles     Next Articles

Exploration of the Current Situation and Future Development Directions of Salmonella Detection Technologies in Dairy Products

GONG Jinghao1, XU Jiawei2, LIU Lingfan2, Yu Xi1, XUE Ruiqi1, HOU Xuan2, ZHANG Yeni2,*   

  1. 1 Shandong Dezheng Dairy Co.,Ltd.,Weihai Shandong 264400;
    2 College of Food Science and Bioengineering,Tianjin Agricultural University,Tianjin 300384
  • Online:2025-09-25 Published:2025-10-09

Abstract: The safety of dairy products is crucial to public health.As a common foodborne pathogen in dairy products,the accurate and rapid detection of Salmonella is of vital importance.This review systematically analyzed the current four major testing systems:Although the detection method based on GB 4789.4-2024 National Food Safety Standard - Microbiological testing of food - Salmonella Testing holds the status of a “gold standard”,it has a bottleneck in the testing cycle of 3 to 7 days.Molecular detection methods include conventiona PCR,derived PCR and novel CRISPR/Cas systems. The minimum detection limit can reach 1.00 CFU/mL,but struggle with the problem of interference from live/dead bacteria. Immunoassays include ELISA and lateral flow strips. The minimum detection limit can reach 1.04×102 CFU/mL, but there is matrix interference from various substances in dairy products.Biosensors integrate nanomaterials and aptamers to achieve a minimum detection limit of 5.00 CFU/mL. Its portability makes it suitable for on-site use.Current Salmonella detection technologies have its own advantages and disadvantages. A single technology shows limitations,but multimodal combined technology can overcome these shortcomings. By integrating cutting-edge technologies, it is expected to bring about a revolution in Salmonella detection and enhance public health protection.

Key words: Salmonella, national standard method, molecular detection method, immunological detection method, sensor detection method

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