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Updated: Jun 24, 2025

Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements
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基于高光谱成像,对米粒的蛋白质含量进行预测

Guantao Xuan1, Huijie Jia1, Yuanyuan Shao1

  • 1College of Mechanical and Electrical Engineering, Shandong Agricultural University, Taian 271018, China.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
|June 8, 2024
PubMed
概括

超光谱成像使用先进的数学模型准确预测米蛋白含量. 这种非破坏性的方法为质量评估提供了精确的,像素对像素的蛋白质分布映射.

关键词:
超光谱成像技术的使用.非破坏性测试是指非破坏性测试.预测模型的预测模型蛋白质蛋白质是一种蛋白质.大米 大米 大米 大米 大米

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