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Updated: Jun 5, 2026

Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements
10:25

Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements

Published on: June 28, 2016

开发一种动态的多参数预测模型,用于"乌尼布朗克"葡萄的成熟过程,使用可见光和近红外光谱学

Chenxue Su1, Jia Che1, Zehao Wu1

  • 1College of Enology, Northwest A&F University, Yangling 712100, China.

Foods (Basel, Switzerland)
|February 13, 2026
PubMed
概括

可见/近红外 (Vis/NIR) 光谱学准确地预测了乌格尼布朗克葡萄的质量. 该方法量化了pH,糖和含量等关键参数,为传统实验室分析提供了快速的替代方案.

关键词:
乌格尼布兰克葡萄葡萄.视光/红外光谱法 视光/红外光谱法卷积神经网络是一种卷积神经网络.部分最小正方形.支持向量的回归机器回归

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The Terroir Concept Interpreted through Grape Berry Metabolomics and Transcriptomics

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O-cresol Concentration Online Measurement Based On Near Infrared Spectroscopy Via Partial Least Square Regression06:50

O-cresol Concentration Online Measurement Based On Near Infrared Spectroscopy Via Partial Least Square Regression

Published on: November 8, 2019

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