AIMC Topic: Paeonia

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Using near-infrared hyperspectral imaging combined with machine learning to predict the components and the origin of Radix Paeoniae Rubra.

Analytical methods : advancing methods and applications Feb 6, 2025
The efficacy and safety of drugs are closely related to the geographical origin and quality of the raw materials. This study focuses on using near-infrared hyperspectral imaging (NIR-HSI) combined with machine learning algorithms to construct content...
Machine Learning Algorithms Spectroscopy, Near-Infrared Support Vector Machine Principal Component Analysis Drugs, Chinese Herbal Least-Squares Analysis Glucosides Hyperspectral Imaging Monoterpenes Paeonia
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Integrating machine learning and traditional methods for cadmium prediction and bioavailability assessment in Paeoniae Radix Alba: a case study from Bozhou, Anhui Province.

Environmental geochemistry and health May 21, 2025
Soil heavy metal contamination, particularly cadmium (Cd), poses a significant risk to ecosystems and human health. This study investigates the distribution and bioavailability of Cd in soil and Paeoniae Radix Alba system from Qiaocheng District, Boz...
Neural Networks, Computer Machine Learning China Plant Extracts Environmental Monitoring Drugs, Chinese Herbal Soil Pollutants Biological Availability Cadmium Paeonia
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