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创新的红外光谱技术用于预测小麦中的脱氧尼瓦伦醇

Polina Fomina¹, Antoni Femenias¹, Miriam Aledda²

¹Institute of Analytical and Bioanalytical Chemistry, Ulm University, Albert-Einstein-Allee 11, Ulm 89075, Germany.

ACS food science & technology

|January 22, 2025

概括

在小麦中快速检测脱氧尼瓦伦醇 (DON) 对食品安全至关重要. 使用激光和手持设备的红外 (IR) 光谱显示出在整个食品供应链中准确预测DON污染水平的巨大潜力.

科学领域:

食品科学与技术食品科学与技术
分析化学分析化学
频谱学是一种光谱学.

背景情况:

谷物中毒素污染,特别是脱氧尼瓦伦醇 (DON),在全球范围内构成了严重的食品安全风险.
DON是由*Fusarium graminearum*和*Fusarium culmorum*产生的,暴露可能会对人类和动物造成不良健康影响.
准确和快速的分析方法对于预测谷物中的真菌毒素水平至关重要.

研究的目的:

评估创新的红外 (IR) 光谱技术,用于预测小麦中DON污染.
评估红外激光光谱平台的性能,进行确认性分析.
评估手持式红外光谱仪的性能,用于谷物处理期间的初步选.

主要方法:

利用红外激光光谱平台进行现场和实验室分析小麦中的DON.
使用手持式红外光谱仪对DON污染进行初步选.
评估了两种光谱方法的交叉验证 (Acc_CV) 的准确性.

主要成果:

红外激光光谱仪在DON预测方面实现了92%的交叉验证准确度 (Acc_CV).
手持式红外光谱仪实现了DON预测的84.6%的交叉验证准确度 (Acc_CV).
这两种红外光谱技术都显示出了快速检测真菌毒素的巨大潜力.

结论:

红外光谱技术为在小麦中快速准确检测脱氧尼瓦伦醇提供了一个有希望的方法.
评估的激光和手持红外光谱仪适用于食品供应链的不同阶段,从初步查到确认分析.
这些技术可以通过及时识别谷物中的DON污染,从而有助于提高食品安全.

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