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Application of real-time fluorescence quantitative polymerase chain reaction and droplet digital polymerase chain reaction for quantitative detection of meat adulteration
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Yu-Mei GUO1, Zhen-Jun JIA2, Yu-Hang FAN2, Rui LIU1, *
Journal of Food Safety & Quality | 2025, 16(15) : 167 - 173
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Journal of Food Safety & Quality | 2025, 16(15): 167-173
• Special Topic: Food Safety Risk Assessment and Risk Monitoring •
Application of real-time fluorescence quantitative polymerase chain reaction and droplet digital polymerase chain reaction for quantitative detection of meat adulteration
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Yu-Mei GUO1, Zhen-Jun JIA2, Yu-Hang FAN2, Rui LIU1, *
Affiliations
  • 1 School of Criminal Investigation, People's Public Security University of China, Beijing 100038, China
  • 2 Institute of Agricultural Quality Standards and Testing Technology, Chinese Academy of Agricultural Sciences, Beijing 100081, China
Published: 2025-08-15 doi: 10.19812/j.cnki.jfsq11-5956/ts.20250411001
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Objective To explore the application of the combination of real-time fluorescence quantitative polymerase chain reaction (qPCR) and droplet digital polymerase chain reaction (ddPCR) in the quantitative detection of meat adulteration. Methods This study employed qPCR and ddPCR technologies to develop a detection system with specific primers and probes for beef, lamb and pork samples, aiming to assess meat adulteration in the Beijing market. Results The experimental results revealed that the sample “Chang 5” contained adulteration of lamb and pork at a ratio of 17:10. qPCR demonstrated high sensitivity and specificity in qualitative detection, while ddPCR enabled absolute quantification of adulteration proportions. The combination of these 2 methods significantly improved detection accuracy. Conclusion The established qPCR-ddPCR combined method exhibits high sensitivity and specificity, making it suitable for rapid and precise detection of meat adulteration. This approach provides reliable technical support for food safety regulation.

meat adulteration  /  real-time fluorescence quantitative polymerase chain reaction  /  droplet digital polymerase chain reaction  /  mutton  /  pork  /  food safety
Yu-Mei GUO, Zhen-Jun JIA, Yu-Hang FAN, Rui LIU. Application of real-time fluorescence quantitative polymerase chain reaction and droplet digital polymerase chain reaction for quantitative detection of meat adulteration[J]. Journal of Food Safety & Quality, 2025 , 16 (15) : 167 -173 . DOI: 10.19812/j.cnki.jfsq11-5956/ts.20250411001
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Year 2025 volume 16 Issue 15
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Article Info
doi: 10.19812/j.cnki.jfsq11-5956/ts.20250411001
  • Receive Date：2025-04-11
  • Online Date：2026-01-09
  • Published：2025-08-15
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  • Received：2025-04-11
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    1 School of Criminal Investigation, People's Public Security University of China, Beijing 100038, China
    2 Institute of Agricultural Quality Standards and Testing Technology, Chinese Academy of Agricultural Sciences, Beijing 100081, China
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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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