Quantitative assessment of wheat quality using near-infrared spectroscopy: A comprehensive review
文献类型: 外文期刊
第一作者: Du, Zhenjiao
作者: Du, Zhenjiao;Li, Yonghui;Tian, Wenfei;Tilley, Michael;Wang, Donghai;Zhang, Guorong
作者机构:
关键词: artificial intelligence; chemometrics; machine learning; near-infrared spectroscopy; wheat quality assessment
期刊名称:COMPREHENSIVE REVIEWS IN FOOD SCIENCE AND FOOD SAFETY ( 影响因子:15.786; 五年影响因子:18.335 )
ISSN: 1541-4337
年卷期: 2022 年 21 卷 3 期
页码:
收录情况: SCI
摘要: Wheat is one of the most widely cultivated crops throughout the world. A great need exists for wheat quality assessment for breeding, processing, and products production purposes. Near-infrared spectroscopy (NIRS) is a rapid, low-cost, simple, and nondestructive assessment method. Many advanced studies associated with NIRS for wheat quality assessment have been published recently, either introducing new chemometrics or attempting new assessment parameters to improve model robustness and accuracy. This review provides a comprehensive overview of NIRS methodology including its principle, spectra pretreatments, spectral wavelength selection, outlier disposal, dataset division, regression methods, and model evaluation. More importantly, the applications of NIRS in the determination of analytical parameters, rheological parameters, and end product quality of wheat are summarized. Although NIRS showed great potential in the quantitative determination of analytical parameters, there are still challenges in model robustness and accuracy in determining rheological parameters and end product quality for wheat products. Future model development needs to incorporate larger databases, integrate different spectroscopic techniques, and introduce cutting-edge chemometrics methods. In addition, calibration based on external factors should be considered to improve the predicted results of the model. The NIRS application in micronutrients needs to be extended. Last, the idea of combining standard product sensory attributes and spectra for model development deserves further study.
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