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Updated: Jun 26, 2025

Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements
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超光谱成像和光谱仪用于预测奶酪成分的比较

Maria Lucimar da Silva Medeiros1, Leila Moreira de Carvalho2, Marta Suely Madruga2

  • 1Department of Food Engineering and Technology, School of Food Engineering, University of Campinas, Campinas, SP, Brazil.

Food research international (Ottawa, Ont.)
|May 17, 2024
PubMed
概括

使用可见和近红外 (VIS/NIR) 光谱的光谱分析有效地区分了传统的巴西奶酪,并预测了它们的成分. 图像和常规光谱仪在奶酪质量控制中的工业应用中都提供了可比的准确性.

关键词:
工匠制造的奶酪是一种手工制作的奶酪.化学测量 化学测量 化学测量数据融合数据融合原产地名称 原产地名称非破坏性技术的非破坏性技术可见近红外 (VIS/NIR) 光谱学

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