Qualitative identification of Aucklandiae Radix with LLE + SMA classification models based on electronic nose / 中草药

ABSTRACT

Objective: To establish an odor fingerprint with electronic nose technology to qualitatively identify Aucklandiae Radix odor from different producing areas. Methods: Eight batches of Aucklandiae Radix samples from eight different producing areas were collected. The odor information of each sample was obtained by electronic nose. The LDA algorithm based on Fisher’s identification criterion and the nonlinear dimensionality reduction LLE + SMA algorithm were used to distinguish the Aucklandiae Radix odor of different origins. Results: It was found that the LDA algorithm based on Fisher’s discriminant criterion could not distinguish the Aucklandiae Radix scent of different producing areas. Some of the samples in the place of origin had a lot of overlap, and the LLE + SMA algorithm could distinguish the odor very well. It can completely distinguish eight batches of Aucklandiae Radix samples from eight different producing areas. Conclusion: It is feasible to apply the electronic nose technology to the odor differentiation of Aucklandiae Radix from different producing areas, and provide new ideas and methods for the quality evaluation of Aucklandiae Radix.