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Recent Advances in Rapid Detection Techniques for Mycotoxins in Cereals
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Yifan ZHANG1, 2, Ping JIANG2, Jin YE2, Yizhu MA2, Peng YIN2, Weiqing ZHANG2, Sijia XU2, Guoping YU1, *, Ming LIU2, *
Science and Technology of Food Industry | 2026, 47(6) : 446 - 456
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Science and Technology of Food Industry | 2026, 47(6): 446-456
• Reviews •
Recent Advances in Rapid Detection Techniques for Mycotoxins in Cereals
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Yifan ZHANG1, 2, Ping JIANG2, Jin YE2, Yizhu MA2, Peng YIN2, Weiqing ZHANG2, Sijia XU2, Guoping YU1, *, Ming LIU2, *
Affiliations
  • 1School of Food Engineering, East University of Heilongjiang, Harbin 150066, China
  • 2Academy of National Food and Strategic Reserves Administration, Beijing 100037, China
Published: 2026-03-15 doi: 10.13386/j.issn1002-0306.2025040137
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Mycotoxin contamination in cereal grains is regarded as a critical global challenge, jeopardizing food security and public health through chronic exposure and acute toxicity. Rapid detection methodologies are emerged as indispensable tools for preemptive risk mitigation and regulatory compliance. This review critically evaluates the current landscape, operational merits, and limitations of cutting-edge mycotoxin detection technologies. Immunoassays, characterized by procedural simplicity and high-throughput potential, are frequently hampered by matrix interference and cross-reactivity artifacts. Biosensors, augmented by nanomaterial integration for signal amplification, exhibit enhanced sensitivity but are faced with scalability constraints due to prohibitive aptamer synthesis costs and limited environmental stability. Spectroscopic detection techniques enable non-destructive, real-time analysis, yet their widespread adoption is restricted by capital-intensive instrumentation and computationally demanding multivariate data interpretation. In the future, the integration of multiple technologies and material innovation should be prioritized to address the performance limitations, including insufficient anti-interference capabilities in complex matrices and low efficiency in simultaneous multi-toxin detection. Furthermore, developing portable detection devices would provide reliable and efficient technical support for food safety regulation.

cereal mycotoxins  /  rapid detection  /  immunoassays  /  biosensors  /  spectroscopic detection
张一帆, 姜平, 叶金, 马亦竹, 尹鹏, 张维清, 徐思佳, 于国萍, 刘明. 谷物中真菌毒素快速检测技术的研究进展. 食品工业科技, 2026 , 47 (6) : 446 -456 . DOI: 10.13386/j.issn1002-0306.2025040137
Yifan ZHANG, Ping JIANG, Jin YE, Yizhu MA, Peng YIN, Weiqing ZHANG, Sijia XU, Guoping YU, Ming LIU. Recent Advances in Rapid Detection Techniques for Mycotoxins in Cereals[J]. Science and Technology of Food Industry, 2026 , 47 (6) : 446 -456 . DOI: 10.13386/j.issn1002-0306.2025040137
Year 2026 volume 47 Issue 6
103
42
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doi: 10.13386/j.issn1002-0306.2025040137
  • Receive Date:2025-04-14
  • Online Date:2026-10-24
  • Published:2026-03-15
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  • Received:2025-04-14
Affiliations
    1School of Food Engineering, East University of Heilongjiang, Harbin 150066, China
    2Academy of National Food and Strategic Reserves Administration, Beijing 100037, 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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