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Chemometric strategies for binary discrimination and one-class classification of medicinal parts of Angelicae Sinensis Radix by fusing chemical profiles with anticoagulant activity
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DOI：10.1016/j.indcrop.2026.123410.png)
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Abstract
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• FT-IR spectroscopy and chemometrics effectively distinguish medicinal parts of Angelica Sinensis. • SVM model achieve 100% discrimination accuracy. • DD-SIMCA model shows high sensitivity and specificity in specific part certification. • The tail of Angelica Sinensis had significantly higher antithrombin activity.
Keywords:
Angelicae Sinensis Radix
Identification of medicinal parts
Binary discrimination
One-class classification
Anticoagulant activity
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