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Updated: Jun 27, 2025

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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使用红外光谱减弱总反射,主要组件分析和人工智能测量系统的开发,以安全量化食品包装中的核剂比醇

Joaquín Hernández-Fernández1,2,3, Jose Martinez-Trespalacios3,4, Edgar Marquez5

  • 1Chemistry Program, Department of Natural and Exact Sciences, San Pablo Campus, University of Cartagena, Cartagena 130015, Colombia.

Foods (Basel, Switzerland)
|April 27, 2024
PubMed
概括

在食品包装中量化酸醇类核化剂至关重要. 这项研究开发了一种使用减弱总反射率红外光谱 (ATR-FTIR) 和机器学习进行精确分析的快速方法.

关键词:
这是RMSE.这是一个SVRSVR.红外光谱学机器学习机器学习核化剂是一种核化剂.索尔比托尔 (Sorbitol) 是一种类型的醇.

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