Chinese Optics Letters, Volume. 15, Issue 8, 083001(2017)

Noninvasive blood glucose detection using a miniature wearable Raman spectroscopy system

Yi Zheng1,2, Xiangping Zhu1, Zhe Wang3, Zongyu Hou3, Fei Gao1, Rongzhi Nie1,4, Xiaoxia Cui1, Jiangbo She1, and Bo Peng1、*
Author Affiliations
  • 1State Key Laboratory of Transient Optics and Photonics, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Science (CAS), Xi’an 710119, China
  • 2University of Chinese Academy of Sciences (CAS), Beijing 100049, China
  • 3State Key Laboratory of Power Systems, Department of Thermal Engineering, Tsinghua-BP Clean Energy Center, Tsinghua University, Beijing 100084, China
  • 4School of Science, Xi’an Jiaotong University, Xi’an 710049, China
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    Figures & Tables(11)
    Experimental setup: the schematic diagram of the miniature wearable Raman spectroscopy system.
    (Color online) Raman spectra of glucose solutions with concentrations of 3.8–13.3 mmol/L. The area of 1372.7 cm−1 and the concentration of glucose are directly related.
    (Color online) Difference between the relationship of the peak area and intensity with the concentration of the glucose solution.
    (Color online) Calculated result of the glucose solution, with a coefficient of determination of 98.1% and an MAE of 0.394 mmol/L.
    (Color online) Comparison between the spectrum of the rat skin and the spectrum of the glucose solution. The spectrum of the rat skin is more complicated.
    (Color online) Calculated results for one of the rat samples.
    (Color online) (A) Comparison between the spectrum of the human skin and the spectrum of the rat skin. (B) Comparison between the spectrum of the human skin and the spectrum of glucose. The spectrum of the human skin is similar to the spectrum of the rat skin.
    (A) Calculated result for one of the human volunteers without using a grin lens. (B) Calculated result for one of the human volunteers using a grin lens. The result when using a grin lens is obviously better.
    (Color online) Comparison between calculated results for all samples and one of the samples.
    • Table 1. Summary of Results from Cross-Validated Calibrations Generated from Data Set of Measurements on Each of the 11 Laboratory Rats

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      Table 1. Summary of Results from Cross-Validated Calibrations Generated from Data Set of Measurements on Each of the 11 Laboratory Rats

      RatR2MAE (mmol/L)Sample Capacity
      10.9600.14925
      20.9540.265147
      30.9240.54353
      40.9050.31077
      50.8930.27953
      60.8890.13023
      70.8790.22724
      80.8680.18423
      90.8530.15930
      100.8510.217229
      110.8510.30651
      Mean0.8930.25267
    • Table 2. Summary of Results from Cross-Validated Calibrations Generated from Data Set of Measurements on Each of the 10 Human Volunteers

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      Table 2. Summary of Results from Cross-Validated Calibrations Generated from Data Set of Measurements on Each of the 10 Human Volunteers

      HumanR2MAE (mmol/L)Sample Capacity
      10.9580.10529
      20.9350.37959
      30.8660.28521
      40.850.27537
      50.8350.39835
      60.830.40737
      70.8270.62035
      80.8150.31735
      90.7650.45535
      100.7590.41021
      Mean0.8440.36534
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    Yi Zheng, Xiangping Zhu, Zhe Wang, Zongyu Hou, Fei Gao, Rongzhi Nie, Xiaoxia Cui, Jiangbo She, Bo Peng. Noninvasive blood glucose detection using a miniature wearable Raman spectroscopy system[J]. Chinese Optics Letters, 2017, 15(8): 083001

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    Paper Information

    Category: Spectroscopy

    Received: Feb. 22, 2017

    Accepted: May. 18, 2017

    Published Online: Jul. 20, 2018

    The Author Email: Bo Peng (bpeng@opt.ac.cn)

    DOI:10.3788/COL201715.083001

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