Study on classification of the efficacy of traditional Chinese medicine based on FAAS combined with chemometrics methods

Study on classification of the efficacy of traditional Chinese medicine based on FAAS combined with chemometrics methods

This paper applies flame atomic absorption spectrophotometry to determine the content of metallic element in 24 kinds of TMC. Chemo-metric approaches, including Hierarchical Clustering Analysis (HCA), Principal Component Analysis (PCA), and Probabilistic Neural Network (PNN) are used to carry out cl...

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Bibliographische Detailangaben
Hauptverfasser: Jinhong Gao, Xinling Tian, Jifeng Li
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Artificial neural networks
Blood
Chemical elements
Chemicals
chemometrics
Classification
FAA
Principal component analysis
Probabilistic logic
traditional Chinese medicine (TCM)
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Beschreibung
Zusammenfassung:This paper applies flame atomic absorption spectrophotometry to determine the content of metallic element in 24 kinds of TMC. Chemo-metric approaches, including Hierarchical Clustering Analysis (HCA), Principal Component Analysis (PCA), and Probabilistic Neural Network (PNN) are used to carry out classified analysis on TCM efficacy, and the results show that this research on TCM efficacy using the approach combined FAAS with chemometrics has a scientific reference value for the further TCM efficacy analysis.
DOI:10.1109/RSETE.2011.5966265