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首页> 外文期刊>Journal of AOAC International >Near-Infrared Spectrum Detection of Wheat Gluten Protein Content Based on a Combined Filtering Method
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Near-Infrared Spectrum Detection of Wheat Gluten Protein Content Based on a Combined Filtering Method

机译：基于组合过滤法的小麦麸质蛋白含量近红外光谱检测

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摘要

To eliminate the random error of the derivative near-IR (NIR) spectrum and to improve model stability and the prediction accuracy of the gluten protein content, a combined method is proposed for pretreatment of the NIR spectrum based on both empirical mode decomposition and the wavelet soft-threshold method. The principle and the steps of the method are introduced and the denoising effect is evaluated. The wheat gluten protein content is calculated based on the denoised spectrum, and the results are compared with those of the nine-point smoothing method and the wavelet soft-threshold method. Experimental results show that the proposed combined method is effective in completing pretreatment of the NIR spectrum, and the proposed method improves the accuracy of detection of wheat gluten protein content from the NIR spectrum.
机译：为了消除衍生物接近IR（NIR）谱的随机误差并提高谷蛋白蛋白质含量的模型稳定性和预测准确性，提出了基于经验模式分解和小波的NIR光谱预处理的组合方法 软阈值方法。 介绍了该方法的原理和步骤，并评估了去噪效果。 小麦麸质蛋白质含量基于去噪光谱计算，并将结果与九点平滑方法和小波软阈值方法进行比较。 实验结果表明，该提出的组合方法在完成NIR光谱预处理方面有效，提出的方法提高了来自NIR光谱的小麦麸质蛋白质含量的准确性。

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