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Construction of a multiplex digital polymerase chain reaction detection system for foodborne pathogens based on multicolor coding technology
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Wen-Song SHI1, Qing-Yu LIU1, Yu-Yang LUO1, Yong-Hui XIA1, Yue-Fang ZHU1, Jing HE1, Gang-Wei XU2, *
Journal of Food Safety & Quality | 2026, 17(8) : 127 - 135
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Journal of Food Safety & Quality | 2026, 17(8): 127-135
• Special Topic: Detection and Control of Foodborne Pathogenic Bacteria •
Construction of a multiplex digital polymerase chain reaction detection system for foodborne pathogens based on multicolor coding technology
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Wen-Song SHI1, Qing-Yu LIU1, Yu-Yang LUO1, Yong-Hui XIA1, Yue-Fang ZHU1, Jing HE1, Gang-Wei XU2, *
Affiliations
  • 1.Hunan Zhuzhou Institute for Food and Drug Control, Zhuzhou 412000, China
  • 2.Hunan Shengzhou Biotechnology Co., Ltd., Zhuzhou 412000, China
doi: 10.19812/j.cnki.jfsq11-5956/ts.20260311002
Outline
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Objective

To establish a multiplex digital polymerase chain reaction (dPCR) quantitative detection system for Cronobacter (Escherichia sakazakii), Staphylococcus aureus, Vibrio cholerae, Vibrio parahaemolyticus, Salmonella, Listeria monocytogenes and pathogenic Escherichia coli O157.

Methods

Species-specific genes were screened from the genomes of the 7 kinds of pathogenic bacteria in the National Center for Biotechnology Information (NCBI) genome database, and their conservation was analyzed. Primer-probes were designed based on the conserved regions. The primer specificity and probe structure were analyzed by using MFE Primer (V3.1) to alignment against the human genome, bacterial and viral genomes in the NCBI ftp database, followed by the synthesis of primers probes and pathogenic bacterial plasmids. A multiplex dPCR detection system for foodborne pathogens was established by using multicolor coding technology to encode the detection targets of the 7 kinds of pathogenic bacteria with different fluorescence channel combination modes, and the specificity, accuracy, linearity and repeatability of the system were verified.

Results

The detection system was characterized by high specificity, accuracy and reproducibility, with linear ranges of 15.55–17336.02 copies/μL for Cronobacter (Escherichia sakazakii), 11.92–12755.55 copies/μL for Staphylococcus aureus, 9.47–11811.35 copies/μL for Vibrio cholerae, 9.86–11631.06 copies/μL for Vibrio parahaemolyticus, 12.20–14244.65 copies/μL for Salmonella, 16.70–15329.10 copies/μL for Listeria monocytogenes, and 28.22–26325.95 copies/μL for pathogenic Escherichia coli O157.

Conclusion

The construction of a multiplex dPCR detection system for various foodborne pathogens, utilizing multicolor coding technology, facilitate the simultaneous detection of 7 kinds of foodborne pathogens. This system offer a valuable technical reference for pathogen surveillance, contamination source tracing and emergency response in the fields of food, medicine, and the environment, demonstrating broad application potential. It will facilitate further exploration of a super-multiplex dPCR detection system for pathogens.

pathogens  /  multicolor coding technology  /  multiplex digital polymerase chain reaction  /  rapid detection
石文松, 刘清玉, 罗雨阳, 夏用恢, 朱跃芳, 贺晶, 徐刚伟. 基于多色编码技术的食源性致病菌多重数字聚合酶链式反应检测体系的构建. 食品安全质量检测学报, 2026 , 17 (8) : 127 -135 . DOI: 10.19812/j.cnki.jfsq11-5956/ts.20260311002
Wen-Song SHI, Qing-Yu LIU, Yu-Yang LUO, Yong-Hui XIA, Yue-Fang ZHU, Jing HE, Gang-Wei XU. Construction of a multiplex digital polymerase chain reaction detection system for foodborne pathogens based on multicolor coding technology[J]. Journal of Food Safety & Quality, 2026 , 17 (8) : 127 -135 . DOI: 10.19812/j.cnki.jfsq11-5956/ts.20260311002
Year 2026 volume 17 Issue 8
12
3
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doi: 10.19812/j.cnki.jfsq11-5956/ts.20260311002
  • Receive Date:2026-03-11
  • Online Date:2026-11-05
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  • Received:2026-03-11
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Affiliations
    1.Hunan Zhuzhou Institute for Food and Drug Control, Zhuzhou 412000, China
    2.Hunan Shengzhou Biotechnology Co., Ltd., Zhuzhou 412000, 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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