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Noninvasive Diabetes Monitoring through Continuous Analysis of Sweat Using Flow-Through Glucose Biosensor

机译:通过使用流通葡萄糖生物传感器连续分析汗液的非侵入性糖尿病

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We propose monitoring of diabetes through continuous analysis of undiluted sweat immediately after its excretion using a flow-through glucose biosensor. The used biosensors are based on Prussian Blue and glucose oxidase immobilized in perfluorosulfonated ionomer or gel of alkoxysilane; the resulting sensitivity with the latter reaches in batch mode 0.23 A M-1 cm(-2), and the calibration range is from 1 mu M to 1 mM (flow-through mode). On the basis of the glucose tolerance test known to be a clinically relevant procedure to mimic hyperglycemia, a positive correlation between the rates of glucose concentration increase in blood and in noninvasively collected sweat has been observed (r = 0.75). The observed correlation between sweat and blood considering low-molecular weight metabolites is even better than that observed previously between capillary and vein blood, confirming diagnostic value of sweat for diabetes monitoring. The dynamics of sweat glucose concentration, recorded by means of the proposed biosensor, is in a good accordance with the dynamics of blood glucose content without any time delay, thus offering a prospect for noninvasive monitoring of diabetes.
机译:我们通过使用流通葡萄糖生物传感器的排泄后立即进行未稀释的汗液,提出对糖尿病的监测。二手生物传感器基于固定在全氟化磺化离聚物或烷氧基硅烷凝胶中的普鲁士蓝和葡萄糖氧化酶;由此产生的对后者的灵敏度在批量模式下达到0.23A m-1cm(-2),校准范围为1μm至1mm(流通模式)。基于葡萄糖耐量测试,已知是模拟高血糖血症的临床相关程序,已经观察到血液和非血液收集的汗液中血糖浓度增加的阳性相关性(R = 0.75)。考虑低分子量代谢物的汗水和血液之间观察到的相关性甚至比以前在毛细管和静脉血液之间观察到的甚至更好,确认汗乳的诊断值为糖尿病监测。通过提出的生物传感器记录的汗液葡萄糖浓度的动态,与没有任何时间延迟的血糖含量的动态,从而提供了对糖尿病的非侵入性监测的前景。

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