The existing detecting methods can not fully meet the demand to achieve noninvasive

intuitive and easy detecting of ketone body level of potential ketosis patients outside the hospital or the laboratory. Considering the advantages of high selectivity

high characterization

being noninvasive

intuition

visualization

etc.Experimental research on detection of acetone gas which is the marker of ketone body based on colorimetric artificial nose is carried out

dynamic response analysis

hierarchical clustering analysis

BP neural network identification

etc

are carried out on hue saturation intensity（HSI） color difference characteristic obtained by experimental results. The results show that there is a nonlinear relationship between HSI difference characteristics of visualization bionic nose and the concentration of acetone gas

and BP neural network can identify acetone gas of different concentrations through the HSI difference

overall average relative error of recognition results is 6.67 %.