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Authentication and geographical origin discrimination of Citri Reticulatae Pericarpium via ICP-MS-based multielement profiling and interpretable machine learning
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DOI：10.1016/j.jfca.2026.109318.png)
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Abstract
En 中文
• Use of ICP–MS-based multi-element profiling for CRP authentication, • Integration of an interpretable machine learning framework rather than relying solely on conventional chemometrics, • Screening of stable elemental quality markers through multi-model feature ranking, • Use of an external validation set to assess transferability.
Keywords:
Citri Reticulatae Pericarpium
inductively coupled plasma mass spectrometry
mineral elements
authenticity
geographical traceability
machine learning
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