相关实验视频

Updated: Jul 27, 2025

PTR-ToF-MS Coupled with an Automated Sampling System and Tailored Data Analysis for Food Studies: Bioprocess Monitoring, Screening and Nose-space Analysis
08:43

PTR-ToF-MS Coupled with an Automated Sampling System and Tailored Data Analysis for Food Studies: Bioprocess Monitoring, Screening and Nose-space Analysis

Published on: May 11, 2017

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基于可见和短波近红外光谱的PCA-MLP模型的开发,用于验证阿拉比卡咖啡原产地

Agus Dharmawan1, Rudiati Evi Masithoh1, Hanim Zuhrotul Amanah1

  • 1Department of Agricultural and Biosystems Engineering, Faculty of Agricultural Technology, Universitas Gadjah Mada, Bulaksumur, Yogyakarta 55281, Indonesia.

Foods (Basel, Switzerland)
|June 10, 2023
PubMed
概括

这项研究开发了一种光谱法,结合主成分分析 (PCA) 和人工神经网络 (ANN) 来检测假的阿拉伯咖啡. 该技术准确地验证了咖啡的来源,确保其真实性并防止欺诈行为.

关键词:
阿拉伯咖啡是阿拉伯咖啡.认证的真实性 认证的真实性多层感知器多层感知器主要组件分析的主要组件分析这是光谱学.

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