A Bio-Inspired Breathing Sampling Electronic Nose for Rapid Detection of Chinese Liquors

The rapid detection of Chinese liquors is one of the most demanded techniques of the China light industry and electronic noses (e-noses) have been used to solve this problem. However, these e-noses using classic dynamic sampling (CDS) method consume quite long sampling time. In this paper, a novel bio-inspired breathing sampling (BBS) method is proposed to shorten the sampling time. The proposed BBS is a bionic multi-stage sampling method that imitates the biological process of continuous short breathings. Based on the CDS and BBS methods, the same data processing procedures are employed to process the sampled data. Compared with the CDS, the sampling time of the BBS is much shorter and the extracted features of the BBS are simpler. To test the performance of the two sampling methods, three classification methods are employed to identify seven kinds of Chinese liquors using the self-designed electronic nose. The experimental results indicate that the BBS method achieves not only rapider detection but also higher classification accuracy.