Implementation of an integrating sphere for the enhancement of noninvasive glucose detection using quantum cascade laser spectroscopy
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An integrating sphere is used to enhance the collection of backscattered light in a noninvasive glucose sensor based on quantum cascade laser spectroscopy. The sphere enhances signal stability by roughly an order of magnitude, allowing us to use a thermoelectrically (TE) cooled detector while maintaining comparable glucose prediction accuracy levels. Using a smaller TE-cooled detector reduces form factor, creating a mobile sensor. Principal component analysis has predicted principal components of spectra taken from human subjects that closely match the absorption peaks of glucose. These principal components are used as regressors in a linear regression algorithm to make glucose concentration predictions, over 75% of which are clinically accurate.
The authors would like to thank the Wendy and Eric Schmidt Foundation and the National Science Foundation (Grant no. EEC-0540832) and Daylight Solutions, Inc. in San Diego, CA. Additionally, we acknowledge Kevin Bors, Jessica Doyle, and Laura Xu, for their contributions to this research. The research conducted with human subjects presented in this article has been done while maintaining full compliance with regulations set by Princeton University’s Industrial Review Board (IRB).
- 2.Centers for Disease Control and Prevention, National Diabetes Statistics Report (US Department of Health and Human Services, Atlanta, GA, 2017)Google Scholar
- 3.M.M. Finucane, G.A. Stevens, M.J. Cowan, G. Danaei, J.K. Lin, C.J. Paciorek, G.M. Singh, H.R. Gutierrez, Y. Lu, A.N. Bahalim, F. Farzadfar, L.M. Riley, M. Ezzati, National, regional, and global trends in fasting plasma glucose and diabetes prevalence since 1980: systematic analysis of health examination surveys and epidemiological studies with 370 country-years and 2.7 million participants. Lancet 378(9785), 31–40 (2011)CrossRefGoogle Scholar
- 8.C. Hsueh, M. Janyasupab, Y. Lee, C. Liu, Electrochemical glucose sensors, in Encyclopedia of applied electrochemistry, ed. by G. Kreysa, K. Ota, R.F. Savinell (Springer, New York, NY, 2014), pp. 479–485Google Scholar
- 11.R.A. Croce Jr., S. Vaddiraju, J. Kondo, Y. Wang, L. Zuo, K. Zhu, S.K. Islam, D.J. Burgess, F. Papadimitrakopulos, F.C. Jain, A miniaturized transcutaneous system for continuous glucose monitoring. Biomed. Devices 15(1), 151–160 (2013)Google Scholar
- 22.Q.L. Zhao, J.L. Si, Z.Y. Guo, H.J. Wei, H.Q. Yang, G.Y. Wu, S.S. Xie, X.Y. Li, X. Guo, H.Q. Zhong, L.Q. Li, Quantifying glucose permeability and enhanced light penetration in ex vivo human normal and cancerous esophagus tissues with optical coherence tomography. Laser Phys. Lett. 8(1), 71–77 (2011)ADSCrossRefGoogle Scholar
- 27.F.K. Tittel, D. Richter, A. Fried, Mid-infrared laser applications and spectroscopy. Topics Appl. Phys 89, 445–515 (2003)Google Scholar
- 28.M.K. Chowdhury, A. Srivastava, N. Sharma, S. Sharma, Challenges and countermeasures in optical noninvasive blood glucose detection. IJIRSET 2(1), 329–334 (2013)Google Scholar
- 30.N. Jahangin, A. Bahrampour, M. Taraz, Non-invasive optical techniques for determination of blood glucose levels: a review article. Iran J Med Phys 11(2.3), 224–232 (2014)Google Scholar
- 39.Labsphere, Integrating sphere theory and applications. Technical guide, PB-16011-000 Rev.00 (2017)Google Scholar