Improvement in quantification of urine components: Alternate technique

TL;DR

This paper presents an improved Raman spectroscopy technique combined with partial least squares analysis for more accurate quantification of urine components, especially creatinine, in dried urine samples.

Contribution

The study introduces a novel application of Raman spectroscopy on dried urine samples with PLS analysis to enhance detection sensitivity of urine components.

Findings

Enhanced detection of creatinine in dried urine samples

Validation of method on real urine samples

Improved quantification accuracy over liquid phase analysis

Abstract

Urea and creatinine are two important diagnostic components of urine. The study of creatinine in liquid phase is difficult due to its feeble concentration in urine. To bring down the detection limit, Raman spectroscopy of dried urine samples was employed. Raman studies in association with partial least square algorithm of artificial urine samples gave improved results in dried phase as compared to liquid phase. These findings were further validated on real urine samples.