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首页> 外文期刊>Spectrochimica acta, Part A. Molecular and biomolecular spectroscopy >Determination of amino acid nitrogen in tuber mustard using near-infrared spectroscopy with waveband selection stability
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Determination of amino acid nitrogen in tuber mustard using near-infrared spectroscopy with waveband selection stability

机译:具有波段选择稳定性的近红外光谱法测定块茎芥菜中的氨基酸氮

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摘要

Near-infrared (NIR) spectroscopy was successfully applied to the rapid chemical-free determination of amino acid nitrogen (AAN) in tuber mustard. Moving window partial least squares, combined with Savitzky-Golay smoothing, was used for the waveband selection. Based on the various divisions in the calibration and prediction sets, an effective modeling approach with good stability was proposed. The results confirmed that the long-wave NIR region contains sufficient information for the quantification of AAN in tuber mustard. An appropriate waveband (5874-4258 cm~(-1)) located in the combination region of NIR was selected. The validation root mean square error of prediction and the validation correlation coefficients of prediction were 0.380 mg/g and 0.962, respectively, both indicating good validation effect and stability. The results provided a reliable NIR model and can serve as valuable references for designing spectroscopic instruments for quality evaluation of tuber mustard.
机译:近红外(NIR)光谱已成功应用于无芥末中氨基酸的快速化学快速测定(AAN)。移动窗口的偏最小二乘结合Savitzky-Golay平滑,用于波段选择。基于标定和预测集的不同划分,提出了一种具有良好稳定性的有效建模方法。结果证实,长波NIR区包含足够的信息,可用于定量分析芥菜中的AAN。选择了位于近红外组合区域的合适波段(5874-4258 cm〜(-1))。预测的验证均方根误差和预测的验证相关系数分别为0.380 mg / g和0.962,均表明验证效果和稳定性良好。研究结果提供了可靠的近红外光谱模型,可作为设计用于评估芥菜品质的光谱仪器的有价值的参考。

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