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Updated: Jul 3, 2025

A Colorimetric Method for Measuring Iron Content in Plants

A Colorimetric Method for Measuring Iron Content in Plants

Published on: September 7, 2018

使用色度仪器对整个和碎咖啡度预测的可行性

Fabiana de Carvalho Pires¹, Yhan da Silva Mutz¹, Thaís Cristina Lima de Carvalho²

¹Department of Food Science, Federal University of Lavras, Lavras, Brazil.

Journal of the science of food and agriculture

|February 12, 2024

概括

这项研究探索了具有成本效益的色度测量方法来监测咖啡烤度,为传统仪器提供了数字替代方案. 智能手机和台式彩色仪准确预测了烤水平,使较小的咖啡生产商受益.

科学领域:

食品科学与技术食品科学与技术
分析化学分析化学
感官科学感官科学

背景情况:

咖啡的烤显著影响口味和颜色,传统的监测依赖于昂贵的仪器,如Agtron光谱仪.
目前的烤肉控制方法往往是视觉或使用昂贵的设备,限制了一些生产商的可访问性.

研究的目的:

评估色度测量方法来预测整个和碎咖啡中的Agtron烤度.
为了比较长椅色度仪,智能手机数字图像和烤肉监测色度传感器的有效性.

主要方法:

利用多重线性回归和最小平方支持向量机校准方法.
在Agtron烤范围中准备了70个整体和磨砂烤咖啡样本.
评估了三种色度采集类型:长椅色度仪,智能手机图像和色度传感器.

主要成果:

所有经过测试的色度测量方法都被证明是模型构建的有效方法.
长椅色度仪和智能手机的数字图像显示出高准确度,具有优异的确定系数 (R2=0.99) 和低误差 (RMSE低至0.87%的磨咖啡).
外部验证证实了开发模型的预测能力.

结论:

颜值测量方法为监测咖啡度提供了一个可行的,低成本的替代方案.
这些发现支持增加咖啡烤的数字化和本地流程控制,特别是对于小规模生产商来说.
开发的模型显示出良好的预测能力,通过外部测试和随机化验证.

关键词:

亚格特朗 (Agtron) 公司化学测量方法化学测量方法颜色测量仪的颜色测量方法数字图像数字图像图像数字图像质量质量质量质量质量质量.智能手机的智能手机智能手机的智能手机.

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