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基于高光谱成像技术的玉米新鲜度快速非破坏性检测方法研究

Yurong Zhang^1,2,3, Shuxian Liu^1,2,3, Xianqing Zhou^1,2,3

¹School of Food and Strategic Reserves, Henan University of Technology, Zhengzhou 450001, China.

Molecules (Basel, Switzerland)

|July 13, 2024

概括

超光谱成像提供了一种快速,非破坏性的方法,通过分析脂肪酸值来评估玉米的新鲜度. 该SG2-SPA-RF模型准确地预测了玉米的老化,确保了储存和加工的更好的质量控制.

科学领域:

农业科学农业科学
食品科学食品科学食品科学
频谱学是一种光谱学.

背景情况:

确保玉米的新鲜度对于储存,加工和利用至关重要.
需要快速,非破坏性的检测方法来评估玉米的质量.

研究的目的:

开发一种快速,非破坏性的检测玉米新鲜度和老化的方法.
为了研究高光谱成像数据与玉米在老化过程中的脂肪酸值之间的关系.

主要方法:

超光谱成像用于从经过加速衰老的玉米样本中收集光谱数据.
光谱数据预处理包括SG2平滑,并使用SPA.提取特征波长.
预测模型是使用随机森林 (RF) 构建的,用于脂肪酸值的量化.

主要成果:

脂肪酸值显示,在三个玉米品种中,延长老化时间的趋势越来越大.
在SG2-SPA-RF模型中,脂肪酸值的预测准确度高 (R_P² = 0.9655).
该模型确定了关键波长,大大降低了数据的维度.

结论:

脂肪酸值是玉米老化的可靠指标.
超光谱成像与化学测量相结合,提供了一种有效的非破坏性玉米新鲜度测试方法.
这项技术可以支持玉米行业的质量控制.

关键词:

化学信息可视化化学信息可视化玉米玉米玉米玉米玉米脂肪酸的价值脂肪酸的价值新鲜度新鲜度新鲜度超光谱成像技术的使用.

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