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基于拉曼高光谱成像技术检测玉米核中的粉含量

Yuan Long¹, Qingyan Wang², Xiuying Tang³

¹College of Engineering, China Agricultural University, Beijing 100083, China; Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China; National Research Center of Intelligent Equipment for Agriculture, Beijing 100097, China.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy

|March 18, 2025

概括

这项研究引入了一种非破坏性的拉曼超光谱成像方法,用于监测老化的玉米核中的粉含量. 该技术有效跟踪质量变化,为谷物分析提供可靠的方法.

科学领域:

农业科学农业科学
频谱学是一种光谱学.
食品质量分析食品质量分析

背景情况:

玉米核质量受到粉含量的影响.
玉米老化对玉米核质量产生负面影响,需要监测方法.
拉曼超光谱成像为非破坏性分析提供了潜力.

研究的目的:

开发和验证一种非破坏性方法,用于检测玉米在老化过程中的粉含量.
研究拉曼光谱变化与玉米老化过程之间的关系.
使用光谱数据建立玉米粉含量预测模型.

主要方法:

拉曼超光谱成像技术用于收集不同衰老阶段的玉米核的光谱数据.
使用二维相关谱 (2D-COS) 分析光谱变异并确定拉曼峰变化的顺序.
应用了各种预处理,变量选择和建模方法 (包括极端学习机器 (ELM)) 来构建粉含量预测模型.

主要成果:

该研究确定了与玉米老化相关的特征拉曼转移.
极端学习机器 (ELM) 模型,使用35个特征拉曼转移和正常化预处理,实现了最佳预测性能 (Rc=0.8827,Rp=0.8502).
已建立的模型在预测玉米粉在老化过程中的含量方面表现出很高的准确性.

结论:

拉曼高光谱成像,结合2D-COS和化学测量,提供了一种可行且强大的非破坏性方法,用于在老化过程中确定玉米粉含量.
这种方法为在谷物行业推进非破坏性检测技术提供了理论基础.
这些发现支持使用光谱成像用于农产品的质量评估和监测.

关键词:

玉米玉米玉米是一种非破坏性的检测检测.拉曼高光谱成像技术粉是一种粉.

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