A comparison between near-infrared (NIR) and mid-infrared (ATR-FTIR) spectroscopy for the multivariate determination of compositional properties in wheat bran samples
A comparison between near-infrared (NIR) and mid-infrared (ATR-FTIR) spectroscopy for the multivariate determination of compositional properties in wheat bran samples
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DOI：
10.1016/j.foodcont.2015.08.003
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发表时间：
2016-02-01
期刊：
影响因子：
6
通讯作者：
Boehmdorfer, Stefan
中科院分区：
文献类型：
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作者：
Hell, Johannes;Prueckler, Michael;Boehmdorfer, Stefan
本研究的目的是比较傅立叶变换近红外光谱（NIR）和傅立叶变换中红外光谱（MIR）在麦麸样品中成分参数的多变量测定中的性能。这些参数是水、蛋白质、灰分、淀粉、可溶性和不可溶性膳食纤维和脂质的含量。采用偏最小二乘（PLS）回归方法构建校正模型。近红外法对灰分、淀粉、可溶性和不溶性膳食纤维表现较好，而MIR法仅对蛋白质表现较好。水和脂肪的得分大致相等。灰分、不溶性膳食纤维和脂肪预测结果较好。可溶性膳食纤维的分析受到基础湿化学参考方法的不准确性的影响，这对校准产生了负面影响。淀粉测定系数虽好，但相对误差较大。蛋白质和水给出了可接受的相对误差，但拟合优度不够理想。在有限的样品集条件下，红外光谱法的精密度较高，是建立麦麸快速分析方法的理想选择。总的来说，近红外似乎是更优越和更稳健的方法。(C) 2015 Elsevier Ltd.版权所有。
The objective of this study was a comparison of the performance of Fourier transformed near-infrared (NIR) with Fourier transformed mid-infrared (MIR) spectroscopy using attenuated total reflectance for the multivariate determination of compositional parameters in wheat bran samples. These parameters were the contents of water, protein, ash, starch, soluble as well as insoluble dietary fibers, and lipids. Partial least squares (PLS) regression was used to construct a calibration model. NIR was found to perform better for ash, starch and soluble as well as insoluble dietary fiber, while MIR was superior only for protein. The scores for water and fat were about equal. The prediction results for ash, insoluble dietary fiber and fat were good. The analysis of soluble dietary fiber suffered from the inaccuracy of the underlying wet-chemical reference method, which had a negative impact on the calibration. Starch was prone to a large relative error despite a good coefficient of determination. Protein and water gave acceptable relative errors but suboptimal goodness of fit. From the precision achieved with a limited sample set, it can be concluded that infrared spectroscopy is an appropriate method to establish a rapid analysis of wheat bran. In general, NIR seemed to be the superior and more robust method. (C) 2015 Elsevier Ltd. All rights reserved.