Objectives. Biopotential, the electric potential generated by living tissues, is affected by changes in extracellular electrolyte and glucose concentrations. We aimed to apply correlation between blood glucose concentrations (BGC) and biopotential of peripheral muscles for noninvasive blood glucose measurement. Methods: The study included 58 Wistar rats. In part of them, diabetes was induced by streptozotocin injection. Group 1, comprising 19 normal and 5 diabetic rats, received glucose-challenging protocol (i.p injection of 1g/ml glucose); Group 2, 24 normal and 6 diabetic rats, received insulin-challenging protocol (three 30IU insulin injections with 15min intervals). Four control rats, group 3, were injected with 2ml saline. BGC were measured by a standard ACCU-CHEK®-Sensor Meter and compared with those estimated by biopotential sensor, further designated GlucoSat, placed around proximal parts of the tails of the anaesthetized animals. GlucoSat results were calculated using the following biopotential equation: BGC(t) =k1*F1(t)+k2*F2(t)+k3*F3(t)+k4, based on experimental model involving estimation of pH, muscle metabolism and tissue conductance. Results: Mean biopotential system measured BGC was 187.7 ±4.3 mg/dL, not differing statistically from 188±4.3 mg/dL estimated by ACCU-CHEK®. Pearson's correlation coefficient (r²) was 0.961, p<0.00001, indicating strong direct correlation between the results. Within the non-diabetic group, r² was 0.944, p<0.00001, while within the diabetic group r² was 0.974, p<0.00001. No significant adverse skin reactions were concomitantly observed in any experimental group. Conclusions: Biopotential measurements may be used for continuous noninvasive estimation of changes in BGC. Further studies are needed to evaluate the applicability of this method to humans.