The study was conducted to: (1) apply advanced synchrotron radiation-based technique-SR-FT/vIMS to detect chemical profiles that are related to protein and carbohydrate biopolymers, (2) quantify the relationship between spectral features and nutrient utilization and bioavailability of newly developed carinata and canola seed lines. The molecular spectral features of these seed lines were analyzed using SR-FT/vIMS with both univariate and multivariate spectral analysis techniques. The results showed that the inherent structural characteristics of new carinata and new canola seeds could be detected by SR-FT/vIMS. The univariate molecular spectral analysis showed differences in absorption intensities (peak heights and areas) of functional groups related to protein and carbohydrate molecular structures, while multivariate molecular spectral analysis without any spectral parameterization results showed similar protein and carbohydrate structure between new carinata and new canola seeds. Based on both, univariate and multivariate analysis, there were some differences between carinata seeds and canola seeds in protein and Carbohydrate (CHO) structure spectral characteristics, but these differences were not distinguishable in CLA and PCA plots regardless the color seed coat when using original spectral without spectral parameterization. Protein and carbohydrate structural variables could be used as predictors of rumen protein degradation kinetics, protein intestinal digestion features and protein supply for dairy cows. The CHO molecular structure showed great correlation with rumen protein degradation, intestinal protein digestion and predicted true protein supply of the newly developed carinata and canola lines.

进行该研究的目的是：（1）应用基于先进的同步辐射技术-SR-FT / vIMS来检测与蛋白质和碳水化合物生物聚合物相关的化学特征，（2）量化光谱特征与养分利用和生物利用度之间的关系。新开发的Carinata和油菜籽行。使用单变量和多变量光谱分析技术，使用SR-FT / vIMS分析了这些种系的分子光谱特征。结果表明，SR-FT / vIMS可以检测出新carinata和canola种子的固有结构特征。单变量分子光谱分析显示与蛋白质和碳水化合物分子结构有关的官能团在吸收强度（峰高和峰面积）上的差异，而没有任何光谱参数化结果的多变量分子光谱分析显示，新的油菜籽和新的油菜籽之间的蛋白质和碳水化合物结构相似。基于单变量和多变量分析，在蛋白质和碳水化合物（CHO）结构光谱特征上，carinata种子和低芥酸菜籽之间存在一些差异，但是无论使用彩色原皮还是彩色种皮，这些差异在CLA和PCA图中均无法区分。没有频谱参数化。蛋白质和碳水化合物的结构变量可用作瘤胃蛋白质降解动力学，蛋白质肠道消化特征和奶牛蛋白质供应的预测指标。CHO分子结构与瘤胃蛋白降解有很大关系，