数字农科院2.0

A strategy to improve the detection accuracy and universality of highland barley muti-quality attributes based on near infrared spectroscopy combined with model transfer method

文献类型： 外文期刊

作者： Linglei Li;Long Li;Jingfeng Li;Jingjing Yang;Lang Jia;Bei Fan;Litao Tong;Liya Liu;Yatao Huang;Xiaolong Yang;Fengzhong Wang;Lili Wang

作者机构：

关键词： Direct standardization;Highland barley;Model transfer;Near-infrared spectroscopy;Piecewise direct standardization;Powder;Scatter correction

期刊名称： Food Chemistry

ISSN： 0308-8146

年卷期： 2025 年 480 卷

页码：

收录情况： SCIE（2025版） ; ; EI（2025版）

摘要： This study utilized direct standardization (DS), piecewise direct standardization (PDS), and DS-PDS algorithms to facilitate model transfer across instruments during the detection of highland barley (HB), and to calibrate HB samples in various states. Following the model transfer, the slave instrument results showed significant improvement. After DS processing, optimal results were achieved for total starch (prediction set correlation coefficient, Rp = 0.903), amylose (Rp = 0.936), β-glucan (Rp = 0.929). After DS-PDS processing, the best results were observed for protein (Rp = 0.855) and total phenols (Rp = 0.937). Moreover, after scatter correction, the results for grains were further enhanced. Following DS treatment, total starch (Rp = 0.873), amylose (Rp = 0.950), protein (Rp = 0.899), β-glucan (Rp = 0.899), and total phenols (Rp = 0.965) demonstrated optimal performance. Overall, this study significantly enhanced the universality and accuracy of models through effective model transfer and scatter correction for grains.

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