Abstract

Glycated hemoglobin (HbA1c) has been increasingly accepted as the gold standard for diabetes monitoring. In this study, Raman spectroscopy was tentatively employed for human hemoglobin (Hb) biochemical analysis aimed at developing a simple blood test for diabetes monitoring. Raman spectroscopy measurements were performed on hemoglobin samples of patients (n = 39) with confirmed diabetes and healthy volunteers (n = 37). The tentative assignments of the measured Raman bands were performed to compare the difference between these two groups. Meanwhile, principal component analysis (PCA) combined with linear discriminant analysis (LDA) were employed to develop effective diagnostic algorithms for classification between normal controls and patients with diabetes. As a result, the spectral features of these two groups demonstrated two distinct clusters with a sensitivity and specificity of 92.3% and 73%, respectively. Then the effectiveness of the diagnostic algorithm based on PCA-LDA technique was confirmed by receiver operating characteristic (ROC) curve. The area under the ROC curve was 0.92, indicating a good diagnostic result. In summary, our preliminary results demonstrate that proposing Raman spectroscopy can provide a significant potential for the noninvasive detection of diabetes.

Highlights

  • Diabetes, derived from the defect that human body fails to produce or to respond to insulin which regulates glucose °uctuation, is a chronic disease

  • After purication, deionized water which was pre-cooled at 4C was added into red blood cell (RBC) in a volume ratio of 3:1 to make cells rupture by uptaking excessive water

  • The tentative assignments of the measured Raman bands of Hb were performed, indicating that the high blood glucose level has in°uence on protein function, and on the heme structure

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Summary

Introduction

Diabetes, derived from the defect that human body fails to produce or to respond to insulin which regulates glucose °uctuation, is a chronic disease. It is characterized by blood glucose increase. With the deterioration of this disease, it will cause many This is an Open Access article published by World Scientic Publishing Company. HbA1c can be used to monitor long-term glucose control in diabetes, making it possible to realize early diagnosis of diabetes

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