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Updated: Jul 3, 2025

Profiling Volatile Compounds in Blackcurrant Fruit using Headspace Solid-Phase Microextraction Coupled to Gas Chromatography-Mass Spectrometry
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Profiling Volatile Compounds in Blackcurrant Fruit using Headspace Solid-Phase Microextraction Coupled to Gas Chromatography-Mass Spectrometry

Published on: June 9, 2021

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通过将头空间气色谱,离子运动谱学和机器学习相结合,对碎黑胡的真实性进行评估

Carmela Zacometti1, Giuseppe Sammarco2, Andrea Massaro1

  • 1Istituto Zooprofilattico Sperimentale delle Venezie, Laboratory of Experimental Chemistry, Vicenza, Italy.

Food research international (Ottawa, Ont.)
|February 11, 2024
PubMed
概括

一种使用头部空间气色谱,离子流动性光谱 (HS-GC-IMS) 和机器学习的新方法可以准确地检测伪造的碎黑胡. 这种快速,灵敏的工具有助于工业质量控制,并防止食品链中受污染的产品.

关键词:
真实性 真实性 真实性黑胡是一种黑胡.在HS-GC-IMS中使用.机器学习是机器学习.不针对性和欺诈行为.

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