Discrimination of Cotidis Rhizoma from different habitats by support vector machine
10.7501/j.issn.0253-2670.2015.21.008
- Author:
Meng-Lin TAO
1
Author Information
1. College of Life Science and Engineering, College of Electrical Engineering, Southwest Jiaotong University
- Publication Type:Journal Article
- Keywords:
Alcohol extract;
Berberine;
Coptisine;
Cotidis Rhizoma;
Electronic nose;
Electronic tongue;
Epiberberine;
Habitat discrimination;
Index ingredients;
Moisture;
Palmatine;
Shape;
Smell;
Support vector machine;
Taste;
Total ash content
- From:
Chinese Traditional and Herbal Drugs
2015;46(21):3173-3178
- CountryChina
- Language:Chinese
-
Abstract:
Objective: To establish the identification model based on support vector machine for distinguishing the origin of Cotidis Rhizoma. Methods: Collection of Cotidis Rhizoma samples from four habitats, quantification of the external characteristics (including shape, smell, taste, etc.), and according to the current Pharmacopoeia method, determination of characteristic internal values (including moisture, ash, alcohol extract, index composition epiberberine, coptisine, palmatine, berberine content, etc.); In the Matlab 7.0 platform data dimensionality reduction and fusion, to create the habitats for Cotidis Rhizoma for the discrimination among the models. Results: The separate analysis of each datum can not distinguish the habitats of Cotidis Rhizoma, while after the use of support vector machine modeling, all superposition feature recognition rate reached 97.1%, which can accurately distinguish the habitats of Cotidis Rhizoma; The internal and external feature of high recognition rate is a certain complementarity between each feature subset, the difference of Cotidis Rhizoma from different habitats could be comprehensively identified. Conclusion: The identification model based on support vector machine and the distinction of producing habitats could provide the research ideas and basis for the distinction among the habitats of Cotidis Rhizoma.
