混合的
主成分分析
光谱学
红外光谱学
近红外光谱
偏最小二乘回归
红外线的
芸香科
线性判别分析
柑橘类水果
傅里叶变换红外光谱
生物
园艺
植物
化学
数学
光学
统计
物理
有机化学
量子力学
神经科学
作者
Ricardo N.M.J. Páscoa,Silvana A. Moreira,João A. Lopes,Clara Sousa
摘要
Abstract BACKGROUND Citrus trees are among the most cultivated plants in the world, with a high economic impact. The wide sexual compatibility among relatives gave rise to a large number of hybrids that are difficult to discriminate. This work sought to explore the ability of infrared spectroscopy to discriminate among Citrus species and/or hybrids and to contribute to the elucidation of its relatedness. RESULTS Adult leaves of 18 distinct Citrus plants were included in this work. Near‐ and mid‐infrared (NIR and FTIR) spectra were acquired from leaves after harvesting and a drying period of 1 month. Spectra were modelled by principal component analysis and partial least squares discriminant analysis. Both techniques revealed a high discrimination potential (78.5–95.9%), being the best results achieved with NIR spectroscopy and air‐dried leaves (95.9%). CONCLUSION Infrared spectroscopy was able to successfully discriminate several Citrus species and/or hybrids. Our results contributed also to enhance insights regarding the studied Citrus species and/or hybrids. Despite the benefit of including additional samples, the results herein obtained clearly pointed infrared spectroscopy as a reliable technique for Citrus species and/or hybrid discrimination. © 2018 Society of Chemical Industry
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