Interdisciplinary Center for Life Sciences, South-Westphalia University of Applied Sciences, Frauenstuhlweg 31, 58644, Iserlohn, Germany.
Bundesanstalt für Materialforschung und -prüfung (BAM), Acoustic and Electromagnetic Methods, Unter den Eichen 87, 12205, Berlin, Germany.
Anal Bioanal Chem. 2019 Jan;411(1):63-77. doi: 10.1007/s00216-018-1395-x. Epub 2018 Oct 3.
Diabetes mellitus is a widespread disease with greatly rising patient numbers expected in the future, not only for industrialized countries but also for regions in the developing world. There is a need for efficient therapy, which can be via self-monitoring of blood glucose levels to provide tight glycemic control for reducing the risks of severe health complications. Advancements in diabetes technology can nowadays offer different sensor approaches, even for continuous blood glucose monitoring. Non-invasive blood glucose assays have been promised for many years and various vibrational spectroscopy-based methods of the skin are candidates for achieving this goal. Due to the small spectral signatures of the glucose hidden among a largely variable background, the largest signal-to-noise ratios and multivariate calibration are essential to provide the method applicability for self-monitoring of blood glucose. Besides multiparameter approaches, recently presented devices based on photoplethysmography with wavelengths in the visible and near-infrared range are evaluated for their potential of providing reliable blood glucose concentration predictions. Graphical abstract ᅟ.
糖尿病是一种广泛存在的疾病,未来预计不仅在工业化国家,而且在发展中地区的患者数量都将大幅增加。需要有效的治疗方法,通过自我监测血糖水平来实现严格的血糖控制,从而降低严重健康并发症的风险。如今,糖尿病技术的进步可以提供不同的传感器方法,甚至可以进行连续血糖监测。多年来一直承诺开发非侵入性血糖检测方法,各种基于皮肤振动光谱的方法都有望实现这一目标。由于隐藏在大量可变背景中的葡萄糖的光谱特征很小,因此最大的信噪比和多元校准对于提供用于自我监测血糖的方法适用性至关重要。除了多参数方法外,最近还评估了基于可见光和近红外波长的光体积描记法的设备,以评估其提供可靠血糖浓度预测的潜力。