Rapid Identification and Quality Evaluation of Medicinal Centipedes in China Using Near-Infrared Spectroscopy Integrated with Support Vector Machine Algorithm
To investigate the feasibility of rapid identification and quality evaluation of Chinese medicinal centipedes using NIR spectroscopy, the qualitative and quantitative analysis models were explored. A PCA-SVC model was optimized to differentiate five species of the genus Scolopendra. When the model w...
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Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2019-01-01
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Series: | Journal of Spectroscopy |
Online Access: | http://dx.doi.org/10.1155/2019/9636823 |
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