Requirements for Calibration in Noninvasive Glucose Monitoring by Raman Spectroscopy

Lipson, J.; Bernhardt, Jeff; Block, Ueyn; Freeman, William R.; Hofmeister, R.T.; Hristakeva, Maya; Lenosky, Thomas J.; McNamara, Robert M.; Petrasek, Danny; Veltkamp, David; Waydo, Stephen

doi:10.1177/193229680900300203

Cited by 52 publications

(38 citation statements)

References 11 publications

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“…The net analyte signal (NAS) calibration vectors were compared with PLS calibration vectors, and the chance temporal correlations between assigned glucose concentrations and some uncontrolled experimental parameters were confirmed [8] . Similar experimental validations via Raman spectroscopy have been conducted [9,10] . In Ref.…”

mentioning

confidence: 70%

Net analyte signal with floating reference theory in non-invasive blood glucose sensing by near-infrared spectroscopy

Zhang¹,

Liu²,

Zhang³

et al. 2012

中国光学快报

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Based on the floating reference theory, a new method for extracting the net analyte signal (NAS) is proposed. The noise background subspace is spanned by spectra at the floating radial reference point, and then, the spectra at the measurement point are projected on the subspace. Thereafter, the glucose concentrations in intralipid solutions are investigated through Monte Carlo simulation and experiments, and the partial least squares (PLS) models with and without NAS analysis are built. The root mean square errors of calibration and prediction reach to 28.87% and 27.33%, respectively. The results confirm the existence of information induced by glucose concentration variations as well as the validity of the floating reference theory.

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confidence: 70%

Net analyte signal with floating reference theory in non-invasive blood glucose sensing by near-infrared spectroscopy

Zhang¹,

Liu²,

Zhang³

et al. 2012

中国光学快报

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“…29,30 It may be possible to further correct for turbidity effects 31 using a data pretreatment based on an analytical treatment of multiple scattering effects. The proposed pretreatment would incorporate information from a reflectance spectrum, perhaps acquired simultaneously with the Raman data, to provide improved calibration across individuals.…”

Section: Discussionmentioning

confidence: 99%

On probing human fingertips in vivo using near-infrared light: model calculations

Chaiken

Goodisman

2010

J. Biomed. Opt.

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Abstract. We probe volar-side fingertip capillary beds with nearinfrared laser light and collect Raman, Rayleigh, and Mie scattered light and fluorescence. The results are interpreted using radiation transfer theory in the single-scattering approximation. The surface topography of the skin is modeled using the Fresnel equations. The skin is treated as a three-layer material, with a mean-field treatment of tissue composition and related optical properties. The model, with a reasonable choice of tissue parameters, gives a remarkably accurate account of the features of actual measurements. It predicts the optimal values for the incident angle of the laser beam and the distance between beam and detector. It explains the correlated temporal changes in the intensities of elastically and inelastically scattered light caused by heart-driven pulses and why they are out of phase. With appropriate boundary conditions, the model can be used to discuss the scattering from ridged skin extruded conformally into an aperture in a metal surface under constant light pressure. The probing results suggest an inherent regularity and similarity in the anatomy and composition of surface and subsurface tissues of a wide range of skin types.

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“…Follow is an inadequate measurement accuracy from a clinical point of view. 32,33 In the year 2010, the company C8 MediSensors from California presented a NI glucose measurement system based on Raman spectroscopy. No data obtained in clinical studies with the system were ever published in journals with a peer review process.…”

Section: Examples Of Noninvasive Glucose Monitoring Systemsmentioning

confidence: 99%

Options for the Development of Noninvasive Glucose Monitoring

Thomas

Heinemann

Ramírez

et al. 2015

J Diabetes Sci Technol

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Nowadays nanotechnology has many applications in products used in various areas of daily life; however, this technology has also an option in modern medicine and pharmacy. Therefore, this technology is also an attractive option for the field of diagnosis and treatment of diabetes. Many people with diabetes measure their blood glucose levels regularly to determine the insulin dose. Ideally glucose values would be measured noninvasively (NI). However, none of all the NI approaches studied in the past decades enabled reliable NI measurements under all daily life conditions. Particularly an unfavorable signal-to-noise ratio turned out to be problematic. Based on the known physical possibilities for NI glucose monitoring the focus of this review is on nanotechnology approaches. Functional prototypes exist for some of these that showed promising results under defined laboratory conditions, indicating a good sensitivity and selectivity for glucose. On the second hand is to optimize the technological process of manufacturing. In view of the rapid progress in micro-and nanoelectronics hopefully NI glucose monitoring systems can be developed in the near future.

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Requirements for Calibration in Noninvasive Glucose Monitoring by Raman Spectroscopy

Cited by 52 publications

References 11 publications

Net analyte signal with floating reference theory in non-invasive blood glucose sensing by near-infrared spectroscopy

Net analyte signal with floating reference theory in non-invasive blood glucose sensing by near-infrared spectroscopy

On probing human fingertips in vivo using near-infrared light: model calculations

Options for the Development of Noninvasive Glucose Monitoring

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