Simultaneous determination of human serum albumin, γ-globulin, and glucose in a phosphate buffer solution by near-infrared spectroscopy with moving window partial least-squares regression

Abstract

Near-infrared (NIR) spectra in the 12000–4000 cm⁻¹ region were measured for phosphate buffer solutions containing human serum albumin (HSA), γ-globulin, and glucose with various concentrations at 37 °C. Five levels of full factorial design were used to prepare a sample set consisting of 125 samples of three component mixtures. The concentration ranges of HSA, γ-globulin and glucose were 0.00–6.00 g dl⁻¹, 0.00–4.00 g dl⁻¹ and 0.00–2.00 g dl⁻¹, respectively. The 125 sample data were split into two sets, the calibration set with 95 data and the prediction set with 30 data. The most informative spectral ranges of 4648–4323, 4647–4255 and 4912–4304 cm⁻¹ were selected by moving window partial least-squares regression (MWPLSR) for HSA, γ-globulin, and glucose in the mixtures, respectively. For HSA, the correlation coefficient (R) of 0.9998 and the root mean square error of prediction (RMSEP) of 0.0289 g dl⁻¹ were obtained. For γ-globulin, R of 0.9997 and RMSEP of 0.0252 g dl⁻¹ were obtained. The corresponding statistic values of glucose were 0.9997 and 0.0156 g dl⁻¹, respectively. These statistical values obtained by MWPLSR are highly significant and better than those calculated by using the regions reported in the literature. The results presented here show that MWPLSR can select the informative regions with a simple procedure and increase the power of NIR spectroscopy for simultaneous determination of the concentrations of HSA, γ-globulin and glucose in the mixture systems.