Specialized source-detector separations in near-infrared reflectance spectroscopy platform enable effective separation of diffusion and absorption for glucose sensing

Liu, Jin; Han, Tao; Jiang, Jingying

doi:10.1364/boe.10.004839

Cited by 10 publications

(11 citation statements)

References 30 publications

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“…Reflectance was also more affected by scattering in the medium and the Standard Error of Prediction (SEP) was 24.3 mmol/L compared to 2.1 mmol/L for transmission-a 12-fold greater error. Phantoms have also been used to investigate how the source-detector separation can be optimised to separate diffuse reflectance (reflectance from the boundary) from absorption [59].…”

Section: Near Infrared Spectroscopymentioning

confidence: 99%

Recent Progress and Perspectives on Non-Invasive Glucose Sensors

et al. 2022

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Self-monitoring of blood glucose forms an important part of the management of diabetes and the prevention of hyperglycaemia and hypoglycaemia. Current glucose monitoring methods either use needle-prick enzymatic glucose-meters or subcutaneous continuous glucose sensors (CGM) and thus, non-invasive glucose measurements could greatly improve the self-management of diabetes. A wide range of non-invasive sensing techniques have been reported, though achieving a level of precision comparable to invasive meters remains a challenge. Optical sensors, which utilise the interactions between glucose and light, offer the potential for non-invasive continuous sensing, allowing real-time monitoring of glucose levels, and a range of different optical sensing technologies have been proposed. These are primarily based upon optical absorption and scattering effects and include infrared spectroscopy, Raman spectroscopy and optical coherence tomography (OCT), with other optical techniques such as photoacoustic spectroscopy (PAS) and polarimetry also reported. This review aims to discuss the current progress behind the most reported optical glucose sensing methods, theory and current limitations of optical sensing methods and the future technology development required to achieve an accurate optical-based glucose monitoring device.

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Section: Near Infrared Spectroscopymentioning

confidence: 99%

Recent Progress and Perspectives on Non-Invasive Glucose Sensors

et al. 2022

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“…10 According to Liu et al, the reduced scattering coefficient at 1000 nm will be approximately −0.008 cm −1 for 1 mM glucose, which is much greater than the change in absorption coefficient. 11 According to optical coherence tomography (OCT) results, the scattering coefficient change caused by glucose in living tissue is significantly greater than that in phantom solutions, and the coherent signal response caused by glucose in living tissue can reach tens or hundreds of times that of phantom solution. 12 In this paper, we discuss the contributions of absorption and scattering of glucose, respectively, to the glucose signal in Intralipid solution.…”

Section: Introductionmentioning

confidence: 99%

Spectral analysis of multiple scattering factors of turbid media for glucose measurement using near-infrared spectroscopy

Han

Liu

et al. 2023

J. Biomed. Opt.

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.SignificanceNear-infrared (NIR) diffuse reflectance spectroscopy has been widely used for non-invasive glucose measurement in humans, as glucose can induce a significant and detectable optical signal change in tissue. However, the scattering-dominated glucose spectrum in the range of 1000 to 1700 nm is easily confused with many other scattering factors, such as particle density, particle size, and tissue refractive index.AimOur aim is to identify the subtle distinctions between glucose and these factors through theoretical analysis and experimental verification, in order to employ suitable methods for eliminating these interferences, thus increasing the accuracy of non-invasive glucose measurement.ApproachWe present a theoretical analysis of the spectra of 1000 to 1700 nm for glucose and some scattering factors, which is then verified by an experiment on a 3% Intralipid solution.ResultsWe found that both the theoretical and experimental results show that the effective attenuation coefficient of glucose has distinct spectral characteristics, which are distinct from the spectra caused by particle density and refractive index, particularly in the range of 1400 to 1700 nm.ConclusionsOur findings can offer a theoretical foundation for eliminating these interferences in non-invasive glucose measurement, aiding mathematical methods to model appropriately and enhance the accuracy of glucose prediction.

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“…In terms of eliminating the influence of human variations, the signal differential method has been commonly used to suppress the common-mode human variations. 16,23,24 The differential method can be performed on the two collected data at two source-detector separations (SDSs), or two wavelengths or two moments. Besides, in order to achieve a satisfactory signal-to-noise ratio (SNR) of the differential signal, improving the SNR for each original signal is necessary.…”

Section: Introductionmentioning

confidence: 99%

In Vivo Near-Infrared Noninvasive Glucose Measurement and Detection in Humans

Han

Liu

et al. 2022

Appl Spectrosc

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In optical noninvasive glucose detection, how to detect the glucose-caused signals from the constant human variations and disturbed probing conditions is always the biggest challenge. Developing effective measurement strategies is essential to realize the detection. A NIR spectroscopy-based strategy is studied to effectively solve the in vivo measurement issues, obtaining clean blood glucose-caused signals. Two solutions composing our strategy are applied to the NIR spectroscopy-based measurement system to acquire clean raw signals in the data collection. Which are: a customized high signal-to-noise ratio multi-ring InGaAs detector is introduced to reduce the influences of human variations; a fixing and aiming method are introduced to reproduce a consistent measurement condition. 17 cases of glucose tolerance test (GTT) on healthy and diabetic volunteers are conducted to validate the strategy. Human experiment results clearly show that the expected blood glucose changes have been detected at 1550 nm. The average correlation coefficient of the 17 cases of GTT between light signal and glucose reference reaches 0.84. The proposed measurement strategy is verified feasible for the glucose detecting in vivo. The strategy provides references to further studies and product developments for the NIR spectroscopy-based glucose measurement, and references to other optical measurements in vivo.

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Specialized source-detector separations in near-infrared reflectance spectroscopy platform enable effective separation of diffusion and absorption for glucose sensing

Cited by 10 publications

References 30 publications

Recent Progress and Perspectives on Non-Invasive Glucose Sensors

Recent Progress and Perspectives on Non-Invasive Glucose Sensors

Spectral analysis of multiple scattering factors of turbid media for glucose measurement using near-infrared spectroscopy

In Vivo Near-Infrared Noninvasive Glucose Measurement and Detection in Humans

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