One of the major challenges during polarimetric determination of glucose concentration is the spectral superposition with other optically active molecules, especially proteins like albumin. Since each of those substances has a characteristic optical rotatory dispersion (ORD), we developed a broadband polarimeter setup to distinguish between glucose and albumin. A partial least squares (PLS) regression with 5 components was applied to the polarimeter signal in the wavelength range of 380 − 680 nm. To verify the efficacy of the proposed method, different glucose levels of 0−500 mg/dl were spiked with varying albumin concentrations up to 1000 mg/dl. A standard error of prediction of ±16.0 mg/dl was achieved compared to ±128.3 mg/dl using a two-wavelength system with 532 nm and 635 nm under the same conditions.