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Rapid detection of pork, chicken and duck-derived components in meat samples by handheld quantitative real-time polymerase chain reaction
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Jin-Ding LIU1, 2, 3, Yu-Mei HUO1, 2, 3, Niu GAO1, 2, 3, Xiang-Jie GUO1, 2, Jiang-Wei YAN1, 2, 3, *
Journal of Food Safety & Quality | 2026, 17(1) : 25 - 34
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Journal of Food Safety & Quality | 2026, 17(1): 25-34
• Special Topic: Rapid Detection Technology for Food Safety •
Rapid detection of pork, chicken and duck-derived components in meat samples by handheld quantitative real-time polymerase chain reaction
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Jin-Ding LIU1, 2, 3, Yu-Mei HUO1, 2, 3, Niu GAO1, 2, 3, Xiang-Jie GUO1, 2, Jiang-Wei YAN1, 2, 3, *
Affiliations
  • 1.School of Forensic Medicine, Shanxi Medical University, Jinzhong 030600, China
  • 2.Shanxi Key Laboratory of Forensic Medicine, Jinzhong 030600, China
  • 3.Shanxi Province Engineering Research Center of Forensic Identification,Jinzhong 030600, China
doi: 10.19812/j.cnki.jfsq11-5956/ts.20250915002
Outline
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Objective

To develop a meat component detection method based on handheld quantitative real-time polymerase chain reaction (PCR) for rapid on-site identification of meat sources.

Methods

This study focused on the pork, chicken and duck-derived components, explored the influence of the single factors of meat sample pretreatment tools, lysate composition, lysate concentration and lysate addition amount on the extracted DNA, and constructed a rapid pretreatment method for meat samples; screened specific primers and probes, used the handheld quantitative teal-time PCR instrument to verify specificity, sensitivity and limit of detection, and drew amplification standard curves; and detected the real single and mixed meat samples.

Results

The established rapid pretreatment method for meat samples could be completed within 5 min, the DNA extraction took 10 min, and the extracted DNA could meet the requirements of subsequent experiments. The detection methods exhibited high specificity for pork,chicken and duck samples. The limits of detection of pork, chicken and duck-derived DNA components were 0.010,0.001 and 0.001 ng/µL. The standard curve showed a sound linear relationship. The amplification standard curve of pig DNA was: Y=–3.956X+38.803, r2=0.9956. The amplification standard curve of chicken DNA was: Y=–3.499X+40.491,r2=0.9909. The amplification standard curve of duck DNA was: Y=–3.961X+39.192, r2=0.9962. The method was successfully applied to detect 28 meat samples with a 100% success rate.

Conclusion

These results indicate that the rapid meat sample pretreatment method established in this experiment can be used for the rapid and accurate detection of pork, chicken and duck meat on a handheld quantitative real-time PCR all-in-one machine. This approach provides robust technical support for monitoring and controlling meat adulteration at the retail or market level.

rapid pretreatment  /  handheld quantitative real-time polymerase chain reaction  /  pork, chicken and duck-derived components  /  rapid detection  /  food authenticity  /  on-site detection
刘晋玎, 霍雨美, 高妞, 郭相杰, 严江伟. 手持式实时荧光定量聚合酶链式反应仪现场快速检测肉类样本猪、鸡、鸭源性成分. 食品安全质量检测学报, 2026 , 17 (1) : 25 -34 . DOI: 10.19812/j.cnki.jfsq11-5956/ts.20250915002
Jin-Ding LIU, Yu-Mei HUO, Niu GAO, Xiang-Jie GUO, Jiang-Wei YAN. Rapid detection of pork, chicken and duck-derived components in meat samples by handheld quantitative real-time polymerase chain reaction[J]. Journal of Food Safety & Quality, 2026 , 17 (1) : 25 -34 . DOI: 10.19812/j.cnki.jfsq11-5956/ts.20250915002
Year 2026 volume 17 Issue 1
9
2
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Article Info
doi: 10.19812/j.cnki.jfsq11-5956/ts.20250915002
  • Receive Date:2025-09-15
  • Online Date:2026-11-05
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  • Received:2025-09-15
Funding
Affiliations
    1.School of Forensic Medicine, Shanxi Medical University, Jinzhong 030600, China
    2.Shanxi Key Laboratory of Forensic Medicine, Jinzhong 030600, China
    3.Shanxi Province Engineering Research Center of Forensic Identification,Jinzhong 030600, 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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