There are various types of biosensors designed to detect calcium levels, including protein-based biosensors, magnetic resonance biosensors, and enzymatic biosensors. Each type employs different mechanisms and materials for calcium detection. For this study, the focus will be on the GEM-GECO1 calcium biosensor, which is distinguished by its luminescent properties. This biosensor utilizes a fluorescent protein as its biological recognition material, specifically the green fluorescent protein M13 (GFP). The GFP serves as a sensitive indicator of calcium concentration by emitting luminescence proportional to the detected calcium levels. The luminescent signal allows researchers to monitor changes in calcium concentration effectively. Through the integration of mathematical modeling and the implementation of a tailored algorithm, the study ensures the accurate characterization and functionality of the GEM-GECO1 biosensor. A comparative analysis is performed between the simulation results of the GEM-GECO1 and other calcium biosensors that utilize alternative recognition mechanisms, highlighting its unique performance advantages in detecting calcium.