Abstract
Diabetes disease is one of the metabolic disorders having a great consequence on natural life quality. Over 500 million people are affected worldwide. To better manage diabetes in patients, more glucose measurements within a short period are needed. At present, the existing glucose monitoring devices available in the market are invasive and cannot be used for monitoring glucose levels continuously. Noninvasive Glucose Monitoring (NGM) can be used continuously to check glucose levels in the body without blood draws, skin puncturing, or causing any trauma or pain. The devices available are wristwatch-like and can be easily worn. It is important to develop noninvasive and easy usage as it is economical, compact, painless, and easy for frequent glucose monitoring. The glucose biosensors are either electrochemical or optical-based. The various bands available in the electromagnetic spectrum are used in glucose analysis and detection. Raman spectroscopy technologies are gaining attraction to measure glucose in interstitial fluid (ISF), allowing accuracy between 5.6 and 20.8%. In addition, optical-based techniques using infrared light beams allow sensing the presence of glucose in the skin. The glucose detection in human sweat is also becoming relevant to check its levels. The noninvasive glucose sensor devices have enormous demand in the global market. Several clinical trials of noninvasive glucose monitors are enlarged in the twenty-first century. To develop NGM sensors, an exhaustive, detailed understanding of NGM systems components is required, which includes medical applied technologies, device surface, material chemistry, electrochemistry sensing, and the systems interface. This chapter focuses on leading technologies and devices available to check noninvasive glucose monitoring in diabetic patients and assess accuracy in the market regulatory framework.
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Tamilselvi, M., Raj, P., Vidule, R.R., Ankanagari, S. (2022). Commercial Non-invasive Glucose Sensor Devices for Monitoring Diabetes. In: Sadasivuni, K.K., Cabibihan, JJ., A M Al-Ali, A.K., Malik, R.A. (eds) Advanced Bioscience and Biosystems for Detection and Management of Diabetes. Springer Series on Bio- and Neurosystems, vol 13. Springer, Cham. https://doi.org/10.1007/978-3-030-99728-1_14
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