Rapid evaluation of Farinograph and Extensograph characteristics in bread wheat using near-infrared spectroscopy and chemometrics
文献类型: 外文期刊
第一作者: Zhao, Zihui
作者: Zhao, Zihui;Li, Lei;Li, Wenduan;Tian, Yuanyuan;Zhang, Yan;Zhang, Yong;He, Zhonghu;Hao, Yuanfeng;Tian, Wenfei;He, Zhonghu;Tian, Wenfei;Zhang, Yong;He, Zhonghu;Tian, Wenfei;Ibba, Maria Itria
作者机构:
关键词: Bread wheat; Dough quality; Extensograph; Farinograph; Near-infrared spectroscopy
期刊名称:FOOD RESEARCH INTERNATIONAL ( 影响因子:8.0; 五年影响因子:8.5 )
ISSN: 0963-9969
年卷期: 2025 年 218 卷
页码:
收录情况: SCI
摘要: Bread wheat (Triticum aestivum L.) plays a vital role in global food security and processing. Understanding the rheological properties of dough is crucial in the food industry and wheat breeding programs to select high-quality varieties. Traditional tests such as Farinograph and Extensograph are essential, but labor-intensive and impractical for high-throughput screening. Near-infrared spectroscopy is a rapid and cost-effective alternative to grain quality assessment. This study aimed to develop calibration models for key rheological properties of dough in wheat using a dataset of 1082 representative samples. Various spectral pre-processing, variable selection, and regression algorithms have been employed for model calibration. The partial least squares regression model for Farinograph water absorption demonstrated strong predictive capabilities (R2c = 0.92, R2v = 0.90, and RPD = 3.20), while qualitative analysis was feasible for other characteristics with high accuracy from 80.23 % to 94.27 %. The developed NIR models provide an efficient method for evaluating wheat quality in food processing and wheat breeding.
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