Paper
10 February 2011 The use of optical polarimetry as a noninvasive in vivo physiological glucose monitor
Anthony J. Webb, Brent D. Cameron
Author Affiliations +
Abstract
There is a need to effectively and accurately monitor physiological glucose levels in individuals afflicted with diabetes mellitus. One promising noninvasive technique involves the use of optical polarimetry, in which the eye is commonly used as the sensing location. Since glucose is a chiral molecule, it has the ability to rotate plane polarized light by an amount that is proportional to glucose concentration. It has also been shown that glucose levels in the aqueous humor of the eye correlate well to those of blood. Therefore, we will report on an in vivo study that is conducted using a New Zealand White (NZW) rabbit model in conjunction with a custom developed Faradaybased optical polarimeter with sub-millidegree resolution. All animals used in this investigation were anesthetized with isoflurane and an insulin/dextrose protocol was used to control blood glucose concentration. A polarized laser light (632.8nm HeNe) signal was coupled through the anterior chamber of the eye using a custom designed ocular apparatus. System calibration was performed through measurement of the detected optical polarimetric signal and corresponding discrete blood glucose measurements taken with a handheld glucometer. Reference blood glucose samples were also measured using a YSI 2300+ glucose analyzer. The study results show that physiological glucose can be predicted with error levels on the order of 15%.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Anthony J. Webb and Brent D. Cameron "The use of optical polarimetry as a noninvasive in vivo physiological glucose monitor", Proc. SPIE 7906, Optical Diagnostics and Sensing XI: Toward Point-of-Care Diagnostics; and Design and Performance Validation of Phantoms Used in Conjunction with Optical Measurement of Tissue III, 79060E (10 February 2011); https://doi.org/10.1117/12.875230
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Cited by 5 scholarly publications.
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KEYWORDS
Glucose

Blood

Polarimetry

In vivo imaging

Eye

Calibration

Signal detection

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