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Updated: Jul 6, 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

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支持向量回归用于预测稳定的同位素和微量元素,使用咖啡的高光谱成像来进行原产地验证

Joy Sim1, Yash Dixit2, Cushla Mcgoverin3

  • 1Department of Food Science, University of Otago, PO BOX 56, Dunedin 9054, New Zealand.

Food research international (Ottawa, Ont.)
|November 21, 2023
PubMed
概括

近红外高光谱成像 (HSI-NIR) 可以快速预测咖啡豆中的稳定同位素和微量元素. 这种非破坏性技术准确地估计了与咖啡起源相关的地化学标记.

关键词:
绿色咖啡豆是一种绿色咖啡豆.不具有破坏性的非破坏性.原产地可追溯性 原产地可追溯性预测 预测 预测稳定的同位素 稳定的同位素支持矢量回归的支持矢量回归微量元素中的微量元素.

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