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. 2021 Oct 14;21(20):6820. doi: 10.3390/s21206820

Table 2.

Comparison of various non-invasive optical glucose sensing techniques [14,23,27,30,45,46,62,63].

Technology Wavelength Selectivity Measurement Site Merits Drawbacks
NIR
spectroscopy
750–2500 nm Good Ear lobe, finger, forearm, cheek, lip mucosa, oral mucosa, and tongue
  • -

    Low-cost

  • -

    Easy to implement

  • -

    Glucose heterogeneous distributions affect accuracy.

  • -

    Interferences by other chemical compounds

MIR
spectroscopy
2500–10,000 nm Good,
superior to NIR
Finger, skin, and oral mucosa
  • -

    Quite accurate

  • -

    Lightweight

  • -

    Scattering is low

  • -

    Poor skin penetration depth

  • -

    Expensive

  • -

    High water abortion

FIR
spectroscopy
10–1000 μm Good ISF
  • -

    Scattering is lower than NIR and MIR

  • -

    Individual daily calibration is not required

  • -

    Difficulty in identifying other molecules than water due to strong water absorption

Raman
spectroscopy
Visible light Excellent Eye, human skin
  • -

    Low sensitivity to water and temperature changes

  • -

    Great specificity

  • -

    Low-cost

  • -

    Lack of stability in the laser wavelength and intensity

  • -

    Spectrum acquisition takes time

THz-TDS 30 µm to 3 mm Good ISF
  • -

    Not affected by background noise.

  • -

    Long measuring time

  • -

    Low spatial and depth resolution

Fluorescence Ultraviolet light, visible light Excellent Tears, human skin
  • -

    High sensitivity and specificity to glucose concentration

  • -

    Not affected by light scattering

  • -

    Sensitive to changes in pH and oxygen levels

  • -

    Susceptible to toxicity problems

PA
spectroscopy
Ultraviolet light, NIR, and MIR Good Finger, forearm, and aqueous humor
  • -

    Unsusceptible to water distortion

  • -

    Not affected by scattered particles

  • -

    Low signal-to-noise ratio

  • -

    Affected by temperature changes, motion, pulsation, and acoustic noise