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Updated: Feb 14, 2026

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カメラリア油における多種植物油の偽造検出 SICRIT-HRMSと機械学習の方法を使用して

Mei Wang1, Ting Liu1, Han Liao1

  • 1Ganzhou General Inspection and Testing Institute, China National Quality and Inspection Center for Se-Rich and Camellia Oleifera Products (Jiangxi), Ganzhou 341000, China.

Foods (Basel, Switzerland)
|February 13, 2026
PubMed
まとめ

この研究では,化学反応による柔らかいイオン化によるトランスファー高解像度質量スペクトロメトリー (SICRIT-HRMS) と機械学習による化学反応による柔らかいイオン化を用いた急速な方法を開発し,カメリア油 (CAO) の植物油偽造を検出および定量化しました. 組み合わせたアプローチでは,複数の油の汚染物質を正確に特定し,測定し,食用油の正規性を保証しました.

キーワード:
SICRIT-HRMS (シクリット-HRMS) とは偽造検出 偽造検出カメラリア油 カメラリア油機械学習 (Machine Learning) とは,機械学習 (Machine Learning) とは,機械学習 (Machine Learning) と呼ばれるものです.

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