Differential Diagnosis of Glycosuria Using Raman Spectroscopy

EasyChair Preprint no. 11367

Abstract

The aim of this research was to detect spectral differences in gly-cemic components. Urine samples were collected from 40 patients who were divided into a control group and a diabetic and hyper-tensive group. The samples were obtained in the morning on an empty stomach, stored in 2.0 ml cryogenic tubes and kept frozen in a freezer at -80°C until spectral analysis. Spectral data collec-tion was performed using a dispersive Raman spectrometer (Di-mension P-1 model, Lambda Solutions, Inc., MA, USA). The equipment uses a stabilized multimode diode laser operating at 830 nm, with about 300 mW power output, and time integration to collect the Raman signal was adjusted to 5s. The mean Raman spectra displaced from the urine of patients in the study groups (CT and DM and HBP) were identified at the range of 516 and 1127cm-1. Comparative analysis of mean urine spectra showed a significant difference (p <0.05) between the groups. The Student's t-test was used to compare the mean Raman spectra of the groups and statistical analysis showed a significant difference (p <0.05). The comparative analysis of peak intensities at 516 and 1127 cm-1 in the urine of diabetic control and hypertensive patients revealed that it was higher in the DM & HBP group than in the CT group, however, with no significant difference (p> 0.05). The PLS meth-od was able to discriminate 100% of patients in the DM and HBP group, and the R² value was 0.97. Discriminant analysis (LDA) based on a regression model (PLS) proved to be promising as it discriminated the control group without errors, and the rate in the DM & HBP group was greater than 90%. Raman spectrosco-py can be a potentially useful tool for testing glucose in urine.

Keyphrases: Diabetes Mellitus, glucose, Glycosuria, Raman spectroscopy, urine

@Booklet{EasyChair:11367,
  author = {Elzo Everton de Sousa Vieira and Landulfo Silveira Junior and Adriana Barrinha Fernandes Moretti},
  title = {Differential Diagnosis of Glycosuria Using Raman Spectroscopy},
  howpublished = {EasyChair Preprint no. 11367},

  year = {EasyChair, 2023}}