Full
Outline
To establish a rapid and effective identification method for different aged Baixianpi（Dictamnus dasycarpus）products based on odor differences using electronic nose technology.
The Baixianpi（Dictamnus dasycarpus）odor data was obtained by using the electronic nose technology. The precise classification and recognition of Baixianpi（Dictamnus dasycarpus）samples of different ages were carried out through PCA, LDA, Loadings analysis, KNN, SVM, discriminant analysis, ensemble classifier and neural network classifier.
The radar chart and Loadings analysis results were consistent, and five sensors, W5S, W1S, W1W, W2S and W2W, have significant responses to the Baixianpi（Dictamnus dasycarpus）odor. PCA cannot effectively distinguish Baixianpi（Dictamnus dasycarpus）of different ages. LDA can effectively distinguish Baixianpi（Dictamnus dasycarpus）samples of different ages, but some samples showed overlap. Among the five classification models, SVM, discriminant analysis and ensemble classifier all achieved the classification accuracy of over 90%, with ensemble classifier being the best classification model with an accuracy of 98.9%.
This study establishes a Baixianpi（Dictamnus dasycarpus）age discrimination model based on electronic nose technology, which can provide methodological references for the age identification of other traditional Chinese medicinal materials.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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