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Updated: Jan 10, 2026

PTR-ToF-MS Coupled with an Automated Sampling System and Tailored Data Analysis for Food Studies: Bioprocess Monitoring, Screening and Nose-space Analysis
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Published on: May 11, 2017

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基于原子-分子数据融合的地理认证巴西咖啡的真实性的一级建模

Larissa Batista Dos Santos1, Rodinei Augusti1, Clésia Cristina Nascentes1

  • 1Departamento de Química, Universidade Federal de Minas Gerais, Belo Horizonte, MG 31270-901, Brazil.

Food chemistry
|November 26, 2025
PubMed
概括

这项研究使用了先进的分析技术来验证高质量的Cerrado Mineiro绿色咖啡豆的真实性. 数据融合模型实现了97%的准确性,识别了地理标志的关键化学标记.

关键词:
塞拉多·米内罗 (Cerrado Mineiro) 是一个矿山.化学测量 化学测量 化学测量咖啡认真验证 咖啡认真验证在SIMCA SIMCA中使用.软食品的经济学变量选择 变量选择

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