Classification and analysis of citrus oils by NIR spectroscopy
Classification and analysis of citrus oils by NIR spectroscopy
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DOI：
10.1016/s0308-8146(00)00209-0
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发表时间：
2001
期刊：
影响因子：
8.8
通讯作者：
B. Steuer;H. Schulz;E. Laeger
中科院分区：
文献类型：
--
作者：
B. Steuer;H. Schulz;E. Laeger
本文介绍了一种测定柑桔油中有价成分的近红外光谱新方法。葡萄柚油、橙子油、柑橘油、柠檬油和酸橙油在1100 - 2500 nm范围内的光谱已被登记。应用主成分分析的光谱数据，不同的水果油类型的一个很好的分离可以实现。多元统计与分析参考数据相结合的应用导致了良好的近红外校正结果。对于主要组分（如柠檬烯、γ-萜品烯、桧烯）和一般化学物理参数（如旋光度值、醛含量），标准误差在所用参考方法的范围内。含量超过1.5%的组分的多重决定系数（R2）通常>0.95。此外，还提供了从葡萄柚油和橙子油中分离和纯化过程中测定单个诺卡酮和醛含量的可靠过程中方法。
A new NIRS method is introduced for the determination of valuable components in various citrus oils. Spectra of grapefruit, orange, mandarin, lemon and lime oils in the range from 1100 to 2500 nm have been registered. Applying principal component analysis to the spectral data a good separation of the different fruit oil types can be achieved. The application of multivariate statistics in conjunction with analytical reference data leads to good NIR calibration results. For the main components (e.g. limonene, γ-terpinene, sabinene) and general chemical–physical parameters (e.g. optical rotation value, aldehyde content) standard errors are in the range of the applied reference method. The multiple coefficients of determination (R2) for components with an amount of more than 1.5% are generally >0.95. Furthermore reliable in-process methods for the determination of the individual nootkatone and aldehyde contents during the isolation and purification process from grapefruit and orange oil are presented.