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Development of an Intelligent Visual SEA Detection Method for Salmonella
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Xiaotian SUN1, Junying WANG1, Yingting GONG1, Jingnan MENG1, Zhen LI1, Yanyan ZHAO1, 2, Ligong ZHAI1, *
Science and Technology of Food Industry | 2026, 47(1) : 300 - 310
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Science and Technology of Food Industry | 2026, 47(1): 300-310
• Analysis and Determination •
Development of an Intelligent Visual SEA Detection Method for Salmonella
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Xiaotian SUN1, Junying WANG1, Yingting GONG1, Jingnan MENG1, Zhen LI1, Yanyan ZHAO1, 2, Ligong ZHAI1, *
Affiliations
  • 1Food Science and Engineering College, Anhui Science and Technology University, Chuzhou 233100, China
  • 2Anhui Provincial Key Laboratory of Functional Agriculture and Functional Foods, Chuzhou 233100, China
Published: 2026-01-01 doi: 10.13386/j.issn1002-0306.2024120036
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Objective: This study aimed to develop a rapid and visual method for detecting Salmonella detection by integrating strand exchange amplification (SEA) with a smartphone-based application (APP). Methods: A chitosan-modified silica membrane (CMSM) was optimized for nucleic acid enrichment from samples. Primers for the SEA isothermal amplification reaction were designed, and a smartphone application "Salmonella Smart Detection" was developed based on neutral red coloration. The specificity, sensitivity, anti-interference capability, and detection performance for artificially contaminated samples were systematically evaluated. Results: The detection platform exhibited high specificity for Salmonella. The detection limit for genomic DNA was 10 pg/μL, while the sensitivity for bacterial colony detection was 1.5×102 CFU/mL. The method demonstrated strong resistance to interference from natural background bacterial flora in pork, achieving a detection sensitivity of 3.57×102 CFU/mL in artificially contaminated pork samples. Conclusion: The intelligent visual detection system based on SEA developed in this study demonstrates rapid performance, high sensitivity, strong specificity, and advanced intelligent visualization capabilities. This system offers an innovative and practical approach for on-site visual screening of Salmonella in food products.

Salmonella  /  strand exchange amplification (SEA)  /  chitosan oligosaccharide  /  visual detection
孙笑天, 王俊颖, 龚莹婷, 孟静南, 李真, 赵岩岩, 翟立公. 沙门氏菌智能可视化SEA检测方法的建立. 食品工业科技, 2026 , 47 (1) : 300 -310 . DOI: 10.13386/j.issn1002-0306.2024120036
Xiaotian SUN, Junying WANG, Yingting GONG, Jingnan MENG, Zhen LI, Yanyan ZHAO, Ligong ZHAI. Development of an Intelligent Visual SEA Detection Method for Salmonella[J]. Science and Technology of Food Industry, 2026 , 47 (1) : 300 -310 . DOI: 10.13386/j.issn1002-0306.2024120036
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Year 2026 volume 47 Issue 1
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doi: 10.13386/j.issn1002-0306.2024120036
  • Receive Date：2024-12-04
  • Online Date：2026-10-24
  • Published：2026-01-01
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  • Received：2024-12-04
Affiliations
    1Food Science and Engineering College, Anhui Science and Technology University, Chuzhou 233100, China
    2Anhui Provincial Key Laboratory of Functional Agriculture and Functional Foods, Chuzhou 233100, 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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