Uric acid biosensor was designed in COMSOL Multiphysics simulation software for the suitable identification of sensing materials for the application of arthritis disease diagnosis. The detection of biomarkers (proteins, DNA, nucleic acid, uric acid or antigens) from biological samples such as serum, urine or blood in high-throughput manner with high specificity is the beginning stage of creating compelling treatment for some maladies. Right now, accessible bio detecting methods that are including in the recognition of biomarker particles in patients’ samples don’t have the sufficient affectability and point of confinement of discovery to be successfully recognize beginning time of joint pain or any cardiovascular infection. Especially, the limit of detection, materials used as a sensing region and sensor design limits its application for early detection of arthritis and heart disease. This work builds up a Multiphysics computational model to study the uric acid concentration effect on human blood serum in the designed biosensor system. TiO2 based - metal oxide semiconductor materials as a sensing matrix with immobilized uricase enzyme as a detector was developed and comparison made between various other materials like SnO2, ZnO and NiO. Among all other materials used for the biosensor design, Titanium dioxide gives more sensitivity, lower detection limit and linear concentration range between 0.1 to 5 mg/dl and it can be used as sensing material for the application of arthritis disease diagnosis. © IJSTR 2020.