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Updated: May 9, 2025

Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements
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亚麻蛋白质含量预测基于高光谱波长选择与分数顺序殖民地优化

Bo Wang1, Junying Han1, Chengzhong Liu1

  • 1College of Information Science and Technology, Gansu Agricultural University, Lanzhou, China.

Frontiers in nutrition
|April 30, 2025
PubMed
概括

可见近红外高光谱成像 (VNIR-HIS) 与分数顺序群优化 (FOACO) 结合,可以准确预测亚麻蛋白质含量. 这种快速方法为营养分析提供了可靠的技术支持.

关键词:
分数顺序殖民地优化优化超光谱成像技术的使用.蛋白质含量 蛋白质含量 蛋白质含量可见-近红外可见-近红外波长选择波长的选择.

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Light Acquisition

In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
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