Feasibility analysis of nondestructive detection of multiple parameters of highland barley by near-infrared spectroscopy
文献类型： 外文期刊
作者： Li, Linglei 1 ; Li, Long 1 ; Gou, Guoyuan 2 ; Jia, Lang 2 ; Cao, Ruge 2 ; Liu, Liya 1 ; Tong, Litao 1 ; Zhang, Yonghu 3 ; Shen, Xiaogang 3 ; Wang, Fengzhong 1 ; Wang, Lili 1 ;
作者机构： 1.Chinese Acad Agr Sci, Inst Food Sci & Technol, Beijing, Peoples R China
2.Tianjin Univ Sci & Technol, Coll Food Sci & Engn, Tianjin, Peoples R China
3.Shandong Yuhuang Grain & Oil Food CO LTD, Changji, Peoples R China
4.Chinese Acad Agr Sci, Western Agr Res Ctr, Changji, Shandong, Peoples R China
关键词： highland barley; nondestructive; rapid detection; handheld near-infrared spectrometer
期刊名称：JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE （ 影响因子：3.5； 五年影响因子：4.2 ）
ISSN： 0022-5142
年卷期： 2025 年 105 卷 10 期
页码：
收录情况： SCI
摘要：
BACKGROUND: Highland barley is widely regarded as a premium cereal grain due to its exceptional nutritional profile. This study employed near-infrared spectroscopy technology for the quantitative assessment of five critical parameters in highland barley: total starch, amylose, protein, beta-glucan, and total phenols. To optimize spectral data processing, the most effective preprocessing method was identified among six options (standard normal transformation, multivariate scattering correction, normalization (Nor), detrend (DE), first derivative (FD), second derivative (SD)). Furthermore, feature wavelength selection algorithms, including competitive adaptive reweighted sampling (CARS), successive projections algorithm (SPA), uninformative variable elimination, and least angle regression, were utilized to enhance the model's predictive accuracy. RESULTS: The commendable predictability for total starch was achieved through DE-SPA (R-p(2) = 0.913, root mean square error of prediction (RMSEP) = 1.612). For amylose, Nor-CARS exhibited predictive performance (R-p(2) = 0.925, RMSEP = 2.049). Protein showcased a creditable result by SD-SPA (R-p(2) = 0.876, RMSEP = 0.710). beta-Glucan achieved notable predictability through FD-CARS (R-p(2) = 0.763, RMSEP = 0.328). Total phenols exhibited remarkable predictability using SD-SPA (R-p(2) = 0.946, RMSEP = 0.130). CONCLUSION: Thus, the study provided a rapid and nondestructive method for monitoring multi-quality parameters of highland barley.
(c) 2025 Society of Chemical Industry.
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