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Near-infrared spectroscopy for measurement of total dietary fiber in homogenized meals

机译:近红外光谱法测定均餐中的膳食纤维总量

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Near-infrared (NIR) reflectance spectroscopy was investigated as a method for prediction of total dietary fiber (TDF) in mixed meals. Meals were prepared for spectral analysis by homogenization only (HO), homogenization and drying (HD), and homogenization, drying, and defatting (HDF). The NIR spectra (400-2498 nm) were obtained with a dispersive NIR spectrometer. Total dietary fiber was determined in HDF samples by an enzymatic-gravi metric assay (AOAC 991.43), and values were calculated for HD and HO samples. Using multivariate analysis software and optimum processing, partial least squares models (n = 114) were developed to relate NIR spectra to the corresponding TDF values. The HO, HD, and HDF models predicted TDF in independent validation samples (n = 37) with a standard error of performance of 0.93% (range 0.7-8.4%), 1.90% (range 2.2-18.9%), and 1.45% (range 2.8-23.3%) and r(2) values of 0.89, 0.92, and 0.97, respectively. Compared with traditional analysis of TDF in mixed meals, which takes 4 days, NIR spectroscopy provides a faster method for screening samples for TDF. The accuracy of prediction was greatest for the HDF model followed by the HD model.
机译:研究了近红外(NIR)反射光谱作为预测混合餐中总膳食纤维(TDF)的方法。通过仅均质化(HO),均质化和干燥(HD)以及均质化,干燥和脱脂(HDF)来准备餐点以进行光谱分析。用分散NIR光谱仪获得NIR光谱(400-2498nm)。通过酶重测定(AOAC 991.43)测定HDF样品中的总膳食纤维,并计算HD和HO样品的值。使用多元分析软件和最佳处理,开发了偏最小二乘模型(n = 114)以将NIR光谱与相应的TDF值相关。 HO,HD和HDF模型预测了独立验证样本(n = 37)中的TDF,其性能标准误为0.93%(范围0.7-8.4%),1.90%(范围2.2-18.9%)和1.45%(范围2.8-23.3%)和r(2)值分别为0.89、0.92和0.97。与传统混合餐中TDF的分析需要4天相比,NIR光谱法提供了一种更快的方法来筛选TDF样品。对于HDF模型,其次是HD模型,预测的准确性最高。

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