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Updated: Jan 8, 2026

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Vis-NIR光谱的桌面葡萄溶性固体含量,可定位酸度和储存期间pH值预测的建模

Ke He1, Yuan Su2, Lei He3

  • 1College of Mechanical and Electronic Engineering, Northwest A & F University, Yangling, China.

Frontiers in plant science
|December 17, 2025
PubMed
概括

可见近红外 (Vis-NIR) 光谱学提供了一种快速,非破坏性的方法来评估桌面葡萄的质量. 这项研究成功开发了模型来预测可溶性固体含量,可定位酸度和pH值,从而提高收获后管理.

关键词:
在这里,我们可以看到Ta Ta Ta Ta.这就是Vis-NIR.它们的pH值为pH.预测模型 预测模型这就是SSCSSC.餐饮葡萄是桌面葡萄中的一种.

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