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Integration of machine learning-predicted collision cross sections for the discrimination of flavonol 3-O- and 7-O-glycoside isomers
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DOI：10.1016/j.foodchem.2026.150735.png)
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Abstract
En 中文
• SVM model predicts flavonol CCS with 95% of test set within 3% error. • Predicted CCS values effectively resolve flavonol 3-O- and 7-O-glycoside isomers. • UPLC-IMS-HRMS allows precise discrimination of flavonols at trace levels.
Keywords:
Flavonol
Collision cross section
Ion mobility
Machine learning
Journal
IF:
9.8
Papers:
4.6W
Citations:
24.4W
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Cited Papers