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中国精品科技期刊2020
张一帆,姜平,叶金,等. 谷物中真菌毒素快速检测技术的研究进展J. 食品工业科技,2026,47(6):1−11. doi: 10.13386/j.issn1002-0306.2025040137.
引用本文: 张一帆,姜平,叶金,等. 谷物中真菌毒素快速检测技术的研究进展J. 食品工业科技,2026,47(6):1−11. doi: 10.13386/j.issn1002-0306.2025040137.
ZHANG Yifan, JIANG Ping, YE Jin, et al. Recent Advances in Rapid Detection Techniques for Mycotoxins in CerealsJ. Science and Technology of Food Industry, 2026, 47(6): 1−11. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2025040137.
Citation: ZHANG Yifan, JIANG Ping, YE Jin, et al. Recent Advances in Rapid Detection Techniques for Mycotoxins in CerealsJ. Science and Technology of Food Industry, 2026, 47(6): 1−11. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2025040137.

谷物中真菌毒素快速检测技术的研究进展

Recent Advances in Rapid Detection Techniques for Mycotoxins in Cereals

  • 摘要: 谷物中真菌毒素污染是全球性公共卫生挑战,其长期暴露风险与急性毒性严重威胁粮食安全与公众健康。快速检测方法已成为预防性风险管控、满足监管合规要求的关键技术手段。本文系统综述了前沿真菌毒素检测技术的研究现状、技术优势及局限性。免疫分析方法虽具备操作简便、高通量筛查的显著优势,但检测过程常受样品基质干扰与交叉反应假象的影响。生物传感器技术通过纳米材料集成实现信号放大,灵敏度得以显著提升,然而适配体合成成本高昂及环境稳定性不足等问题,使其在大规模推广应用中面临瓶颈。光谱检测技术能够实现非破坏性实时分析,但其普及应用受制于仪器设备投入高、多变量数据解析计算复杂等现实因素。未来研究需聚焦多技术联用与材料创新,以突破复杂基质抗干扰能力不足与多毒素同步检测效率低下的性能瓶颈,同时推进便携式检测设备的研发,为粮食安全监管提供精准化、高效化的技术支撑。

     

    Abstract: 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.

     

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