Department of Electronic Systems, Norwegian University of Science and Technology, Trondheim, Norway.
Department of Endocrinology, St. Olavs University Hospital, Trondheim, Norway.
J Biophotonics. 2021 May;14(5):e202000450. doi: 10.1002/jbio.202000450. Epub 2021 Feb 22.
Near infrared spectroscopy (NIR) is a promising technique for continuous blood glucose monitoring for diabetic patients. Four interferents, at physiological concentrations, were introduced to study how the glucose predictions varied with a standard multivariate calibration model. Lactate and ethanol were found to interfere strongly with the glucose predictions unless they were included in the calibration models. Lactate was mistaken for glucose and gave erroneously high glucose predictions, with a dose response of 0.46 mM/mM. The presence of ethanol resulted in too low glucose predictions, with a dose response of -0.43 mM/mM. Acetaminophen, a known interferent in the glucose monitoring devices used for diabetes management today, was not found to be an interferent in NIR spectroscopy, nor was caffeine. Thus, interferents that may appear in high concentrations, such as ethanol and lactate, must be included in the calibration or model building of future NIR-based glucose measurement devices for diabetes monitoring.
近红外光谱（NIR）是一种很有前途的技术，可用于对糖尿病患者进行连续血糖监测。引入了四种在生理浓度下的干扰物，以研究葡萄糖预测值如何随标准多元校准模型而变化。研究发现，除非将乳酸和乙醇包含在校准模型中，否则它们会强烈干扰葡萄糖的预测。乳酸会被误认为是葡萄糖，并给出错误的高葡萄糖预测值，剂量反应为 0.46 mM/mM。乙醇的存在会导致葡萄糖的预测值过低，剂量反应为-0.43 mM/mM。对乙酰氨基酚是当今用于糖尿病管理的葡萄糖监测设备中的一种已知干扰物，在 NIR 光谱中未发现其为干扰物，咖啡因也没有。因此，必须将可能出现高浓度的干扰物（如乙醇和乳酸）包含在未来基于 NIR 的糖尿病监测用葡萄糖测量设备的校准或模型构建中。
