Dataset of complex electrical impedance of an emulsion in a water column

Published: 12 December 2022| Version 1 | DOI: 10.17632/hjf6d6mmpp.1
Diego A Bravo M,


Dataset is obtained from experiments carried out in a laboratory where measured the Electrical Impedance (EI) of a mixture of water and air bubbles in a water column. Air is injected through the base of the column through an air stone, and its flow rate depends on the voltage applied to a peristaltic pump. Around the column, in a horizontal plane, eight equidistant electrodes have been placed to carry out the mentioned EI measurements. These EI data of a heterogeneous mix contain information related to the water/air ratio and can be processed to quantify that ratio using techniques such as Machine Learning, image reconstruction and processing. With this quantification, could be developed applications in the oil, pharmaceutical and food industries, and the design of new measurement systems for commercial exploitation.


Steps to reproduce

Dataset correspond to the value of the electrical impedance of a horizontal plane of an emulsion generated in a water column. In this case, the column is built using plumbing pipes made of plastic. Around the column at a height of 15 cm from its base, 8 equidistant electrodes are located, as shown in Fig. 2. For the generation of bubbles inside the water column, a peristaltic pump generates air flow. which is injected through a diffuser stone located in the center of the base of this column. The DC operating voltage of the pump is set from 2V to 11V, in 1V steps, so that the number of bubbles is variable. Then, electrical impedance measurements are carried out using the MiniCore BioZ device , configured to inject a 50 KHz sinusoidal current signal at 100 mA and sample signals at 500 KHz.


Universidad Autonoma de Occidente, Universidad del Cauca


Machine Learning, Electrical Impedance, Electrical Impedance Tomography