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Nondestructive quantification of the soluble-solids content and the available acidity of apples by Fourier-transform near-infrared spectroscopy

机译:傅立叶变换近红外光谱法对苹果可溶性固形物含量和可用酸度的无损定量

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This research evaluated the feasibility of using Fourier-transform near-infrared (FT-NIR) spectroscopy to quantify the soluble-solids content (SSC) and the available acidity (VA) in intact apples. Partial least-squares calibration models, obtained from several preprocessing techniques (smoothing, derivative, etc.) in several wave-number ranges were compared. The best models were obtained with the high coefficient determination (r(2)) 0.940 for the SSC and a moderate r2 of 0,801 for the VA, root-mean-square errors of prediction of 0.272% and 0.053%, and root-mean-square errors of calibration of 0.261% and 0.046%, respectively. The results indicate that the FT-NIR spectroscopy yields good predictions of the SSC and also showed the feasibility of using it to predict the VA of apples. (c) 2005 Optical Society of America.
机译:这项研究评估了使用傅里叶变换近红外(FT-NIR)光谱法定量完整苹果中可溶性固形物含量(SSC)和有效酸度(VA)的可行性。比较了从几种波型范围内的几种预处理技术(平滑,导数等)获得的偏最小二乘校准模型。获得最佳模型,其中SSC的高系数确定(r(2))为0.940,VA的中等r2为0,801,预测的均方根误差为0.272%和0.053%,且均方根校准的平方误差分别为0.261%和0.046%。结果表明,FT-NIR光谱法可以很好地预测SSC,并且还显示了使用它来预测苹果VA的可行性。 (c)2005年美国眼镜学会。

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