Detection of multicomponent distribution by electrical impedance spectroscopic tomography

In this study, an EIST method based on improved electrical impedance tomography (EIT) is proposed to detect the distribution of the complex in the sensor. According to the impedance of different objects at different frequencies, each test object is imaged separately, and finally a clear and accurate image of the distribution of all components was combined by the algorithm. A simulation model for testing EIST is created. In the simulation result, the synthesis reconstruction image is combined by the distributions of different objects which are reconstructed at each frequency, the frequency of each object has the max difference of impedance to the medium. The simulation reveals EIST has the feasibility to detect the multicomponent in the sensor. In the end, the distribution of banana and carrot in water were detected by experiment, and the experimental results showed that this method could effectively detect the distribution of different substances.