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Visualized Rapid Detection of Zearalenone and Aflatoxin Based on Aptamer Sensor and Smartphone Recognition
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Runzhong YU1, Lifeng LU2, Xinyi LIU2, Liyuan ZHANG2, 3, 4, *, Zengwang GUO5, Zhiqiang HAO6
Science and Technology of Food Industry | 2026, 47(15) : 310 - 317
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Science and Technology of Food Industry | 2026, 47(15): 310-317
• Analysis and Determination •
Visualized Rapid Detection of Zearalenone and Aflatoxin Based on Aptamer Sensor and Smartphone Recognition
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Runzhong YU1, Lifeng LU2, Xinyi LIU2, Liyuan ZHANG2, 3, 4, *, Zengwang GUO5, Zhiqiang HAO6
Affiliations
  • 1College of Electrical and Information Engineering, Heilongjiang Bayi Agricultural University, Daqing 163319, China
  • 2College of Food Science, Heilongjiang Bayi Agricultural University, Daqing 163319, China
  • 3National Engineering Technology Center for Coarse Cereals, Daqing 163319, China
  • 4Heilongjiang Key Laboratory of Agricultural Products Processing and Quality Safety, Daqing 163319, China
  • 5Food Science College, Northeast Agricultural University, Harbin 151000, China
  • 6Heilongjiang Pony Testing Technical Co., Ltd., Harbin 151000, China
Published: 2026-08-01 doi: 10.13386/j.issn1002-0306.2025060203
Outline
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To enable rapid and convenient detection of zearalenone (ZEN) and aflatoxins (AFB1) in coarse cereals, this work developed an aptamer-based sensor integrated with image analysis software. The sensor utilized specific aptamers targeting ZEN and AFB1 as recognition elements, gold nanoparticles (AuNPs) as the colorimetric indicator, and NaCl as the chromogenic agent. Images of samples captured by a smartphone were analyzed using ImageJ software through measuring the integrated pixel density, allowing for specific and rapid detection of ZEN and AFB1 in ten different types of coarse cereals. Under optimal conditions, the aptasensor based on microplate reader absorbance measurement showed linear detection ranges of 0.05~3 ng/g for ZEN and 0.2~8 ng/g for AFB1, with calibration equations y=0.021x+0.3353 (R2=0.9983) and y=0.0207x+0.3075 (R2=0.9986), and detection limits of 0.035 ng/g and 0.1 ng/g, respectively. When using smartphone image acquisition combined with ImageJ analysis as an alternative method, secondary calibration equations were derived: y=−16.141x+189.88 (R2=0.991) for ZEN and y=−12.928x+247.08 (R2=0.9901) for AFB1, with LODs of 0.037 ng/g and 0.106 ng/g. Method validation confirmed good accuracy and precision, with spike recoveries ranging from 85.88%~101.13% (RSD 1.56%~5.34%) for ZEN and 87.76%~109.30% (RSD 0.9%~5.07%) for AFB1. The aptasensor successfully detected ZEN and AFB1 in all ten tested coarse cereal samples. By integrating smartphone image analysis, this approach achieves highly sensitive, rapid (15 min) and accurate detection of both mycotoxins in coarse cereals, making it an effective tool for on-site screening applications.

aptamer  /  gold nanoparticles  /  zearalenone  /  aflatoxins B1  /  color matching aptamer sensor  /  image analysis method
于润众, 卢利丰, 刘鑫怡, 张丽媛, 郭增旺, 郝志强. 基于智能手机识别的适配体传感器可视化快速检测玉米赤霉烯酮和黄曲霉毒素. 食品工业科技, 2026 , 47 (15) : 310 -317 . DOI: 10.13386/j.issn1002-0306.2025060203
Runzhong YU, Lifeng LU, Xinyi LIU, Liyuan ZHANG, Zengwang GUO, Zhiqiang HAO. Visualized Rapid Detection of Zearalenone and Aflatoxin Based on Aptamer Sensor and Smartphone Recognition[J]. Science and Technology of Food Industry, 2026 , 47 (15) : 310 -317 . DOI: 10.13386/j.issn1002-0306.2025060203
Year 2026 volume 47 Issue 15
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Article Info
doi: 10.13386/j.issn1002-0306.2025060203
  • Receive Date:2025-06-18
  • Online Date:2026-10-24
  • Published:2026-08-01
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History
  • Received:2025-06-18
Affiliations
    1College of Electrical and Information Engineering, Heilongjiang Bayi Agricultural University, Daqing 163319, China
    2College of Food Science, Heilongjiang Bayi Agricultural University, Daqing 163319, China
    3National Engineering Technology Center for Coarse Cereals, Daqing 163319, China
    4Heilongjiang Key Laboratory of Agricultural Products Processing and Quality Safety, Daqing 163319, China
    5Food Science College, Northeast Agricultural University, Harbin 151000, China
    6Heilongjiang Pony Testing Technical Co., Ltd., Harbin 151000, 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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