A non-invasive photoacoustic and ultrasonic method for the measurement of glucose solution concentration

Zhao, Siwei; Tao, Wei; He, Qiaozhi; Zhao, Hui; Cao, Wenwu

doi:10.1063/1.4979110

Cited by 20 publications

(10 citation statements)

References 18 publications

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“…The received PA signal by an ultrasound transducer at position z can be expressed by a one-dimensional wave equation along the z-direction [93] and solved by Green’s function [94] as follows: pfalse(z,tfalse)=βv22CpηFμaδfalse(t−zvfalse) where β is the thermal expansion coefficient, v is the sound velocity, C p is the heat capacity at constant pressure, η represents the optic-heat conversion efficiency, and F represents the laser fluence. μ a and v vary with glucose concentration, which can be utilized in prediction [95,96,97]. Similar to optical spectroscopy, laser wavelengths ranging from NIR to MIR have been adopted in various studies [74,98,99,100,101].…”

Section: Methodologies For Noninvasive Glucose Sensing Utilizing Ementioning

confidence: 99%

Noninvasive Electromagnetic Wave Sensing of Glucose

Zhang

Liu

Jin

et al. 2019

Sensors

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Diabetic patients need long-term and frequent glucose monitoring to assist in insulin intake. The current finger-prick devices are painful and costly, which places noninvasive glucose sensors in high demand. In this review paper, we list several advanced electromagnetic (EM)-wave-based technologies for noninvasive glucose measurement, including infrared (IR) spectroscopy, photoacoustic (PA) spectroscopy, Raman spectroscopy, fluorescence, optical coherence tomography (OCT), Terahertz (THz) spectroscopy, and microwave sensing. The development of each method is discussed regarding the fundamental principle, system setup, and experimental results. Despite the promising achievements that have been previously reported, no established product has obtained FDA approval or survived a marketing test. The limitations of, and prospects for, these techniques are presented at the end of this review.

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Section: Methodologies For Noninvasive Glucose Sensing Utilizing Ementioning

confidence: 99%

Noninvasive Electromagnetic Wave Sensing of Glucose

Zhang

Liu

Jin

et al. 2019

Sensors

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show abstract

“…Therefore, the density of glucose solution increases as the glucose concentration increases. In addition to the increase of the density, sound speed in the aqueous solution increases as glucose concentration increases [18]. Since the compressibility of individual glucose molecule is much smaller than that of water, the adiabatic compressibility of the glucose solution (βs) can be expressed as βs=β0false(1−Φfalse) where β0 is the adiabatic compressibility of water and its value at 20 °C is given by β0=4.565×10−10Pa−1, Φ is the fractional volume of glucose.…”

Section: Measurement Principle and Architecturementioning

confidence: 99%

Measurement of an Analyte Concentration in Test Solution by Using Helmholtz Resonator for Biosensor Applications

Chen

Park

2019

Sensors

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In this paper, an indirect method of measuring an analyte concentration in a test solution using the resonant frequency change of a Helmholtz resonator is proposed, using a novel architecture of Helmholtz resonator filled with two kinds of fluids (fixed fluid and test solution). Since the analyte concentration yields changes of density and sound speed of the test solution, the resonant frequency of the proposed Helmholtz resonator is affected by the analyte concentration of the test solution. From this effect, the analyte concentration of the test solution can be measured by the spectrum of acoustic resonance of the Helmholtz resonator. The experiment was done using a 3D-printed Helmholtz resonator system with an acoustic power source and detectors, which is consistent with analytical results and showed that the analyte concentration can be measured with higher sensitivity compared to conventional cantilever-type sensors. As an example application, the possibility of measuring glucose concentration of human blood was demonstrated, showing higher sensitivity and relatively low frequency range compared to previous resonance based methods.

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“…η represents for optic-heat conversion efficiency and F represents for laser fluence. Not only μa but also v varies with glucose concentration which can be utilized for prediction [95][96][97]. Similar to optical spectroscopy, laser wavelengths ranging from NIR to MIR have been adopted in various studies [74,[98][99][100][101].…”

Section: Photoacoustic Spectroscopymentioning

confidence: 99%

Noninvasive Electromagnetic Wave Sensing of Glucose

Zhang¹,

Liu²,

Jin³

et al. 2018

Preprint

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Diabetic patients need long-term and frequent glucose monitoring to assist in insulin intake. The current finger-prick devices are painful and costly which make noninvasive glucose sensors highly demanded. In this review paper, we discuss several advanced electromagnetic (EM) wave based technologies for noninvasive glucose measurement, including infrared (IR) spectroscopy, photoacoustic (PA) spectroscopy, Raman spectroscopy, fluorescence, optical coherent tomography (OCT) and microwave sensing. Development and progress of each method are discussed regarding fundamental principle, system setup and experimental results. Despite the promising achievements reported previously, there is no established product to obtain FDA approval or survive marketing test. Limitations and prospects of these techniques are discussed at the end of this review.

show abstract

A non-invasive photoacoustic and ultrasonic method for the measurement of glucose solution concentration

Cited by 20 publications

References 18 publications

Noninvasive Electromagnetic Wave Sensing of Glucose

Noninvasive Electromagnetic Wave Sensing of Glucose

Measurement of an Analyte Concentration in Test Solution by Using Helmholtz Resonator for Biosensor Applications

Noninvasive Electromagnetic Wave Sensing of Glucose

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