基于sers的饲料多重霉菌毒素检测平台研究进展。

IF 4.6 3区 材料科学 Q2 CHEMISTRY, MULTIDISCIPLINARY
Yuxuan Chen, Ruipeng Chen, Hui Wang, Jiawen Zhao, Dongxia Pan, Liang Yang, Xiangfang Tang and Benhai Xiong
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引用次数: 0

摘要

饲料中的真菌毒素可对畜禽健康构成重大风险,导致经济效益降低和生产效率受损,从而阻碍畜牧业的可持续发展。因此,探索饲料中痕量真菌毒素的高灵敏度、简单、快速检测方法对于确保饲料安全和促进工业可持续性至关重要。表面增强拉曼光谱(SERS)是一种具有灵敏度高、操作简便、耐水干扰等特点的快速检测方法,近年来在饲料基质中霉菌毒素检测中得到了广泛的应用。本文系统综述了SERS增强机理、底物类型和检测技术,重点分析了不同底物在饲料中真菌毒素检测中的应用案例和局限性。此外,还探讨了SERS与其他技术的联合应用策略。未来的研究重点应放在低成本基板的开发、复杂基质的抗干扰设计、便携式设备的集成等方面,推动SERS技术成为饲料安全现场快速检测的核心解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Research advances in SERS-based sensing platforms for multiplex mycotoxin detection in feed

Research advances in SERS-based sensing platforms for multiplex mycotoxin detection in feed

Mycotoxins in feed can pose significant risks to the health of livestock and poultry, leading to reduced economic returns and impaired production efficiency, thereby impeding the sustainable development of the livestock industry. Consequently, the exploration of highly sensitive, simple and rapid detection methods for trace mycotoxins in feed is crucial for ensuring feed safety and promoting industrial sustainability. Surface-enhanced Raman spectroscopy (SERS), a rapid detection method characterized by high sensitivity, ease of operation, and resistance to water interference, has gained substantial traction in mycotoxin detection within feed matrices in recent years. This review systematically summarizes the enhancement mechanisms, substrate types, and detection technologies of SERS, with a focus on analyzing the application cases and limitations of different substrates in the detection of mycotoxins in feeds. Additionally, it explores the joint application strategies of SERS with other technologies. Future research should focus on the development of low-cost substrates, anti-interference design for complex matrices, and integration of portable devices, so as to promote SERS technology to become the core solution for on-site rapid detection of feed safety.

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来源期刊
Nanoscale Advances
Nanoscale Advances Multiple-
CiteScore
8.00
自引率
2.10%
发文量
461
审稿时长
9 weeks
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