Noninvasive measurement of glucose concentration on human fingertip by optical coherence tomography

Abstract. A method is proposed for determining the glucose concentration on the human fingertip by extracting two optical parameters, namely the optical rotation angle and the depolarization index, using a Mueller optical coherence tomography technique and a genetic algorithm. The feasibility of the proposed method is demonstrated by measuring the optical rotation angle and depolarization index of aqueous glucose solutions with low and high scattering, respectively. It is shown that for both solutions, the optical rotation angle and depolarization index vary approximately linearly with the glucose concentration. As a result, the ability of the proposed method to obtain the glucose concentration by means of just two optical parameters is confirmed. The practical applicability of the proposed technique is demonstrated by measuring the optical rotation angle and depolarization index on the human fingertip of healthy volunteers under various glucose conditions.

[1]  O. Khalil,et al.  Non-invasive glucose measurement technologies: an update from 1999 to the dawn of the new millennium. , 2004, Diabetes technology & therapeutics.

[2]  Yu-Lung Lo,et al.  Differential Mueller matrix polarimetry technique for non-invasive measurement of glucose concentration on human fingertip. , 2017, Optics express.

[3]  Igor Meglinski,et al.  Application of circularly polarized light for non‐invasive diagnosis of cancerous tissues and turbid tissue‐like scattering media , 2015, Journal of biophotonics.

[4]  M Essenpreis,et al.  The influence of glucose concentration upon the transport of light in tissue-simulating phantoms. , 1995, Physics in medicine and biology.

[5]  Erkki Alarousu,et al.  Noninvasive glucose sensing in scattering media using OCT, PAS, and TOF techniques , 2004, Saratov Fall Meeting.

[6]  Jody T. Bruulsema,et al.  Correlation between blood glucose concentration in diabetics and noninvasively measured tissue optical scattering coefficient. , 1997, Optics letters.

[7]  Y. Lo,et al.  A Novel Heterodyne Polarimeter for the Multiple-Parameter Measurements of Twisted Nematic Liquid Crystal Cell Using a Genetic Algorithm Approach , 2007, Journal of Lightwave Technology.

[8]  Risto Myllylä,et al.  Effect of glucose concentration in a model light-scattering suspension on propagation of ultrashort laser pulses , 2005 .

[9]  Quoc Hung Phan,et al.  Stokes-Mueller matrix polarimetry system for glucose sensing , 2017 .

[10]  Menachem Motiei,et al.  Intercoupling surface plasmon resonance and diffusion reflection measurements for real‐time cancer detection , 2013, Journal of biophotonics.

[11]  Erkki Alarousu,et al.  Optical coherence tomography evaluating the random tissues based on dynamical processing the stochastic low-coherence interference fringes , 2003, European Conference on Biomedical Optics.

[12]  Sjaak J. J. F. van Veen,et al.  Raman Spectroscopy as a Promising Tool for Noninvasive Point-of-Care Glucose Monitoring , 2014, Journal of diabetes science and technology.

[13]  Hoi-Jun Yoo,et al.  An impedance and multi-wavelength near-infrared spectroscopy IC for non-invasive blood glucose estimation , 2014, 2014 Symposium on VLSI Circuits Digest of Technical Papers.

[14]  D. Côté,et al.  Balanced detection for low-noise precision polarimetric measurements of optically active, multiply scattering tissue phantoms. , 2004, Journal of biomedical optics.

[15]  S. Thennadil,et al.  Optical properties of human skin in the near infrared wavelength range of 1000 to 2200 nm. , 2001, Journal of biomedical optics.

[16]  E Gratton,et al.  Possible correlation between blood glucose concentration and the reduced scattering coefficient of tissues in the near infrared. , 1994, Optics letters.

[17]  M. V. van Gemert,et al.  Two-dimensional birefringence imaging in biological tissue using polarization-sensitive optical coherence tomography , 1997, European Conference on Biomedical Optics.

[18]  Risto Myllylä,et al.  Glucose Sensing in Flowing Blood and Intralipid by Laser Pulse Time-of-Flight and Optical Coherence Tomography Techniques , 2012, IEEE Journal of Selected Topics in Quantum Electronics.

[19]  R. Esenaliev,et al.  Noninvasive monitoring of glucose concentration with optical coherence tomography , 2001 .

[20]  L V Wang,et al.  Depth-resolved two-dimensional stokes vectors of backscattered light and mueller matrices of biological tissue measured with optical coherence tomography. , 2000, Applied optics.

[21]  Jukka Hast,et al.  Glucose sensing in aqueous Intralipid suspension with an optical coherence tomography system: experiment and Monte Carlo simulation , 2004, SPIE BiOS.

[22]  G. Yao,et al.  Two-dimensional depth-resolved Mueller matrix characterization of biological tissue by optical coherence tomography. , 1999, Optics letters.

[23]  Yu-Lung Lo,et al.  Extraction of linear anisotropic parameters using optical coherence tomography and hybrid Mueller matrix formalism. , 2015, Optics express.

[24]  R. Esenaliev,et al.  Noninvasive blood glucose monitoring with optical coherence tomography: a pilot study in human subjects. , 2002, Diabetes care.

[25]  Wei Liu,et al.  Mueller matrix decomposition for determination of optical rotation of glucose molecules in turbid media , 2014, Journal of biomedical optics.

[26]  A. Fercher,et al.  Measurement and imaging of birefringence and optic axis orientation by phase resolved polarization sensitive optical coherence tomography. , 2001, Optics express.

[27]  J. Fujimoto,et al.  Polarization-sensitive low-coherence reflectometer for birefringence characterization and ranging , 1992 .

[28]  Massoud Motamedi,et al.  Specificity of noninvasive blood glucose sensing using optical coherence tomography technique: a pilot study. , 2003, Physics in medicine and biology.

[29]  Bilal H. Malik,et al.  Modeling the corneal birefringence of the eye toward the development of a polarimetric glucose sensor. , 2010, Journal of biomedical optics.