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漫反射傅里叶变换中红外光谱和近红外光谱与基于光栅的近红外光谱用于测定饲料中脂肪酸的比较。

Comparison of diffuse reflectance fourier transform mid-infrared and near-infrared spectroscopy with grating-based near-infrared for the determination of fatty acids in forages.

作者信息

Calderon Francisco J, Reeves James B, Foster Joyce G, Clapham William M, Fedders James M, Vigil Merle F, Henry William Brien

机构信息

USDA-ARS Central Great Plains Research Station, 40335 County Rd GG, Akron, Colorado, 80720, USA.

出版信息

J Agric Food Chem. 2007 Oct 17;55(21):8302-9. doi: 10.1021/jf0712907. Epub 2007 Sep 25.

Abstract

Diffuse reflectance Fourier transform mid infrared (FTMIR) and near-infrared spectroscopy (FTNIR) were compared to scanning monochromator-grating-based near-infrared spectroscopy (SMNIR), for their ability to quantify fatty acids (FA) in forages. A total of 182 samples from thirteen different forage cultivars and three different harvest times were analyzed. Three calibration analyses were conducted for lauric (C12:0), myristic (C14:0), palmitic (C16:0), stearic (C18:0), palmitoleic (C16:1), oleic (C18:1), linoleic (C18:2), and alpha-linolenic (C18:3) acids. When all samples were used in a one-out partial least squares (PLS) calibration, the average R (2) were FTNIR (0.95) > SMNIR (0.94) > FTMIR (0.91). Constituents C18:2 and C16:0 had among the highest R (2) regardless of the spectroscopic method used. The FTNIR did better for C12:0, C14:0, and C18:3. The SMNIR did better for C16:0, C16:1, C18:0, C18:1, and C18:2. A second set of calibrations developed with half of the samples as the calibration set and the rest as the validation set showed that all the methods produce acceptable calibrations, with calibration R (2) above 0.9 for most constituents. However, the SMNIR had a better average calibration relative error than the FTNIR, which was slightly better than the FTMIR. A third set of calibration equations developed using 100 random PLS runs with the 182 samples split randomly also shows that the three spectral methods are satisfactory for predicting FA. It is not clear whether any of the spectral methods is distinctly better than another. Calibration R (2) and validation R (2) were higher for most FA with the SMNIR than the FTMIR and FTNIR.

摘要

将漫反射傅里叶变换中红外光谱(FTMIR)和近红外光谱(FTNIR)与基于扫描单色仪光栅的近红外光谱(SMNIR)进行比较,以评估它们对草料中脂肪酸(FA)的定量能力。共分析了来自13个不同草料品种和3个不同收获时间的182个样本。对月桂酸(C12:0)、肉豆蔻酸(C14:0)、棕榈酸(C16:0)、硬脂酸(C18:0)、棕榈油酸(C16:1)、油酸(C:18:1)、亚油酸(C18:2)和α-亚麻酸(C18:3)进行了三次校准分析。当所有样本用于逐一剔除的偏最小二乘法(PLS)校准时,平均R²值为FTNIR(0.95)>SMNIR(0.94)>FTMIR(0.91)。无论使用何种光谱方法,成分C18:2和C16:0的R²值都最高。FTNIR对C12:0、C14:0和C18:3的效果更好。SMNIR对C16:0、C16:1、C18:0、C18:1和C18:2的效果更好。第二组校准分析中,一半样本作为校准集,其余作为验证集,结果表明所有方法都能产生可接受的校准,大多数成分的校准R²值高于0.9。然而,SMNIR的平均校准相对误差比FTNIR更好,FTNIR比FTMIR稍好。第三组校准方程使用182个样本随机分割进行100次随机PLS运行得出,结果也表明这三种光谱方法在预测脂肪酸方面都令人满意。目前尚不清楚是否有任何一种光谱方法明显优于另一种。对于大多数脂肪酸,SMNIR的校准R²值和验证R²值高于FTMIR和FTNIR。

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