Abstract
A new strategy for quantitative analysis of a major clinical biochemical indicator called glycated hemoglobin (HbA1c) was proposed. The technique was based on the simultaneous near-infrared (NIR) spectral determination of hemoglobin (Hb) and absolute HbA1c content (Hb • HbA1c) in human hemolysate samples. Wavelength selections were accomplished using the improved moving window partial least square (MWPLS) method for stability. Each model was established using an approach based on randomness, similarity, and stability to obtain objective, stable, and practical models. The optimal wavebands obtained using MWPLS were 958 to 1036 nm for Hb and 1492 to 1858 nm for Hb • HbA1c, which were within the NIR overtone region. The validation root mean square error and validation correlation coefficients of prediction (V-SEP, V-R P ) were 3.4 g L-1 and 0.967 for Hb, respectively, whereas the corresponding values for Hb • HbA1c were 0.63 g L-1 and 0.913. The corresponding V-SEP and V-R P were 0.40% and 0.829 for the relative percentage of HbA1c. The experimental results confirm the feasibility for the quantification of HbA1c based on simultaneous NIR spectroscopic analyses of Hb and Hb • HbA1c.
Highlights
The incidence of diabetes shows an increasing trend, and has become a serious threat to human health
Using NIR spectroscopy with improved moving window partial least square (MWPLS) method, simultaneous quantitative analysis of Hb and Hb HbA1c with wavelength selection was performed
The results show that the predicted values and clinically measured values obtained from the 100 divisions were highly correlated for Hb, but not for Hb HbA1c
Summary
The incidence of diabetes shows an increasing trend, and has become a serious threat to human health. The researchers were able to (i) noninvasively \numerically penetrate" the tissues and (ii) reconstruct the optical properties of oxygenated and deoxygenated blood in the presence of water These numerical noninvasive measurements were used to predict the extent and severity of organ hemorrhage/injury because the use of the traditional method for clinical determination is di±cult. To the best of our knowledge, a quantication method for screening preliminary diabetes indicators (i.e., HbA1c) using NIR spectroscopy has not been developed. Quantication of glycated hemoglobin indicator HbA1c through NIR spectroscopy and prediction sets in the modeling set, the MWPLS method was improved by considering the stability. Using NIR spectroscopy with improved MWPLS method, simultaneous quantitative analysis of Hb and Hb HbA1c with wavelength selection was performed. The divisions for the calibration and prediction sets were based on certain similarities to avoid evaluation distortion
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