for the glycation ratio. The glucose level and glycation ratio results were validated against reference diagnostic values of diabetes. This novel platform for simultaneous detection of glucose and glycation ratios could be utilized to diagnose and monitor diabetes mellitus. The sensor was tested using clinical samples of healthy subjects and patients with diabetes, and the data generated was highly comparable to those of standard detection methods. The glucose level and glycation ratio data were further categorized into four areas based on the diabetic status, with ambiguous points in areas 2 and 3 exhibiting a nonlinear relationship such as high glucose and low glycation ratio and low glucose with high glycation ratio. In this regard, simultaneous detection of glucose level and glycation ratio using the developed sensor could be crucial for cases of acute and chronic diabetic diseases, allowing for better evaluation and clinical management of patients with diabetes. Time-dependent follow-up studies of glucose and glycation ratio based on the diabetic status of patients are needed to maximize the feasibility of the sensor.