TY - GEN
T1 - Measurement of glucose concentrations in solid tissue phantom using diffuse reflectance technique in NIR region
AU - Hepriyadi, Selvy Uftovia
AU - Nasution, Aulia
N1 - Publisher Copyright:
© SPIE. Downloading of the abstract is permitted for personal use only.
PY - 2021
Y1 - 2021
N2 - Nowadays, the number of potential diabetes sufferers tend to incline, and an effective tool for regular blood's glucose monitoring is needed. Unlike the conventional invasive technique, the non-invasive one is more convenient for regular monitoring purposes. Diffuse Reflectance Spectroscopy (DRS) technique offers several potentials to be implemented as an accurate blood's glucose monitoring system. Efforts to investigate possibilities of DRS to accurately predict the blood glucose concentration will be reported in this paper. Solid tissue phantoms with different glucose concentrations were made to mimic diabetes tissues. These phantoms were made composed from glucose solution dissolved in water (as absorbing agent), intralipid (as scattering agent), and agar as a solid binding agent. Diffuse reflectance spectra that were measured on the top of solid phantoms, in the near infrared wavelength region of 900 - 1300 nm, was fitted with mathematical models of diffusely reflected light, which were derived from diffuse approximation of radiative transfer equation. Results show that this measurement technique can be used for accurately determining glucose level dissolved in the solid phantom. Obtained correlation between values extracted from fitting and the ones that were a priori known values for solid tissue phantom making can be well modelled as linear equation, i.e. y = 0.83634 + 0.58036 x, with the COD (R2) of 0.98739. The Clarke Error Grid Analysis shows that this glucose measurement system can detect the glucose level clinically up to 18 millimolar (mM).
AB - Nowadays, the number of potential diabetes sufferers tend to incline, and an effective tool for regular blood's glucose monitoring is needed. Unlike the conventional invasive technique, the non-invasive one is more convenient for regular monitoring purposes. Diffuse Reflectance Spectroscopy (DRS) technique offers several potentials to be implemented as an accurate blood's glucose monitoring system. Efforts to investigate possibilities of DRS to accurately predict the blood glucose concentration will be reported in this paper. Solid tissue phantoms with different glucose concentrations were made to mimic diabetes tissues. These phantoms were made composed from glucose solution dissolved in water (as absorbing agent), intralipid (as scattering agent), and agar as a solid binding agent. Diffuse reflectance spectra that were measured on the top of solid phantoms, in the near infrared wavelength region of 900 - 1300 nm, was fitted with mathematical models of diffusely reflected light, which were derived from diffuse approximation of radiative transfer equation. Results show that this measurement technique can be used for accurately determining glucose level dissolved in the solid phantom. Obtained correlation between values extracted from fitting and the ones that were a priori known values for solid tissue phantom making can be well modelled as linear equation, i.e. y = 0.83634 + 0.58036 x, with the COD (R2) of 0.98739. The Clarke Error Grid Analysis shows that this glucose measurement system can detect the glucose level clinically up to 18 millimolar (mM).
KW - Agar tissue phantom
KW - Diffuse reflectance spectroscopy
KW - Glucose concentration
KW - Near infrared
UR - http://www.scopus.com/inward/record.url?scp=85103330336&partnerID=8YFLogxK
U2 - 10.1117/12.2585544
DO - 10.1117/12.2585544
M3 - Conference contribution
AN - SCOPUS:85103330336
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Fourth International Seminar on Photonics, Optics, and Its Applications, ISPhOA 2020
A2 - Hatta, Agus Muhammad
A2 - Nasution, Aulia
A2 - Wahyuono, Ruri Agung
PB - SPIE
T2 - 4th International Seminar on Photonics, Optics, and Its Applications, ISPhOA 2020
Y2 - 1 December 2020 through 2 December 2020
ER -