TY - JOUR
T1 - Reagentless estimation of urea and creatinine concentrations using near-infrared spectroscopy for spot urine test of urea-to-creatinine ratio
AU - Suzuki, Ikuto
AU - Ogawa, Mitsuhiro
AU - Seino, Kimihiro
AU - Nogawa, Masamichi
AU - Naito, Hisashi
AU - Yamakoshi, Ken Ichi
AU - Tanaka, Shinobu
N1 - Publisher Copyright:
© 2018, Japanese Society for Medical and Biological Engineering. All rights reserved.
PY - 2018
Y1 - 2018
N2 - In this work, we developed a measurement system that uses LEDs to estimate multiple components such as urea and creatinine in spot urine samples using near-infrared spectroscopy, considering future transition to LED light sources. In this study, we chose LEDs with 10 standard wavelengths (1400–2300 nm, in 100 nm increments). A multiple regression analysis using all combinations of 10 wavelengths was performed. We prepared glucose-added urine samples (GAU, urine samples from 10 healthy adults, each mixed with glu-cose). Wavelength selection was performed by comparing the minimum standard error of prediction (SEP, calculated from actual concentration and predicted concentration) for each wavelength combination. We obtained high accuracy for estimating urinary urea and creatinine levels (SEP: 42.4 mg/dl and 7.34 mg/dl, respectively) using four wavelengths for urea including two wavelengths showing negative absorbance, and five wavelengths for creatinine. Furthermore, an extremely high correlation coefficient (γ > 0.99) was obtained for both components. We calculated urea concentration, creatinine concentration, and urea-to-creatinine ratio using this optical, reagentless method. The low SEP and high γ show that our method is suitable for practical determination of urea-to-creatinine ratio. Thus, this method of analyzing urine samples using NIR spectroscopy can be used to assess protein intake in CKD patients.
AB - In this work, we developed a measurement system that uses LEDs to estimate multiple components such as urea and creatinine in spot urine samples using near-infrared spectroscopy, considering future transition to LED light sources. In this study, we chose LEDs with 10 standard wavelengths (1400–2300 nm, in 100 nm increments). A multiple regression analysis using all combinations of 10 wavelengths was performed. We prepared glucose-added urine samples (GAU, urine samples from 10 healthy adults, each mixed with glu-cose). Wavelength selection was performed by comparing the minimum standard error of prediction (SEP, calculated from actual concentration and predicted concentration) for each wavelength combination. We obtained high accuracy for estimating urinary urea and creatinine levels (SEP: 42.4 mg/dl and 7.34 mg/dl, respectively) using four wavelengths for urea including two wavelengths showing negative absorbance, and five wavelengths for creatinine. Furthermore, an extremely high correlation coefficient (γ > 0.99) was obtained for both components. We calculated urea concentration, creatinine concentration, and urea-to-creatinine ratio using this optical, reagentless method. The low SEP and high γ show that our method is suitable for practical determination of urea-to-creatinine ratio. Thus, this method of analyzing urine samples using NIR spectroscopy can be used to assess protein intake in CKD patients.
KW - Near-infrared spectroscopy
KW - Reagentless
KW - Spot urine
KW - Urea-to-creatinine ratio
KW - Urine components
UR - https://www.scopus.com/pages/publications/85048602308
U2 - 10.14326/abe.7.72
DO - 10.14326/abe.7.72
M3 - 記事
AN - SCOPUS:85048602308
SN - 2187-5219
VL - 7
SP - 72
EP - 81
JO - Advanced Biomedical Engineering
JF - Advanced Biomedical Engineering
ER -