手持式近红外光谱仪测定油菜籽品质

V. Barthet, M. Petryk, B. Siemens
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引用次数: 0

摘要

手持式近红外光谱仪可用于预测一些最重要的决定菜籽油质量的化合物(高油和蛋白质含量,低硫代葡萄糖苷和叶绿素含量,以及脂肪酸组成)。重要的是在真实的外部验证集上测试模型,而不是仅仅依赖于模型稳定性的交叉验证。对于手持式近红外光谱仪,紧凑的设计必须具有小的采样窗口,需要在完整的种子中进行多次测量以减少采样误差。磨碎的种子或面粉样品的抽样效果较小。一些手持式近红外光谱仪的波长范围有限,使得近红外光谱仪不适合预测某些质量参数,这一点很重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Canola quality by handheld NIR spectrometer
Handheld NIR spectrometers can be used to predict some of the most important compounds that define canola quality (high oil and protein contents, low glucosinolate and chlorophyll contents, and fatty acid composition). It is important to test models on true external verification sets instead of relying only on cross-validation for model stability. For handheld NIR spectrometers, the compact design necessarily has small sample windows, necessitating multiple measurements in intact seeds to reduce sampling error. Ground/milled seeds or flour samples have lesser sampling effect. It is important to understand how the limited wavelength range of some handheld NIR spectrometers makes NIR spectrometers unsuitable for the prediction of certain quality parameters.
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