Wearable sweat sensing device determining sweat rate per gland

Sevda Malek Kani, Ruben Marteijn, E. Pelssers, J. M. J. Toonder
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Abstract

Patient monitoring is an established method in healthcare, guarding the health status of patients by recording vital signs. The inclusion of sweat sensing in patient monitoring provides prominent opportunities since sweat contains physiologically and metabolically rich information about the patient. Sweat can be non-obtrusively obtained and could therefore enable continuous biomarker measurement. However, for several biomarkers, the concentration not only depends on a disorder but also on the sweat rate per gland and this is a major challenge for the clinical use of sweat sensing. In this work, we developed a sensing device framework, based on an innovative statistical analysis, capable of determining the average sweat rate per gland without a-priori knowledge of the number of glands. The statistical analysis can be adapted for various sweat rates and sweat gland densities. For a gland density of 0.1 glands$.\mathrm{mm}^{-2}$, a first prototype based on an open microfluidic structure has been fabricated. The prototype sweat collection device is fabricated by femtosecond laser machining of fused silica substrates, followed by a wet etching step. The prototype is tested by different flow rates of DI water that are supplied to it. The experiment shows that the design is capable of collecting and transporting low volumes of sweat as excreted by persons in a sedentary state.
测定每个腺体排汗率的可穿戴式汗液传感装置
病人监护是医疗保健中常用的一种方法,通过记录病人的生命体征来监护病人的健康状况。在患者监测中加入汗液传感提供了突出的机会,因为汗液包含了关于患者的丰富的生理和代谢信息。汗液可以不引人注目地获得,因此可以实现连续的生物标志物测量。然而,对于一些生物标志物,浓度不仅取决于疾病,还取决于每个腺体的出汗率,这是临床使用汗液传感的主要挑战。在这项工作中,我们开发了一种基于创新统计分析的传感装置框架,能够在不先验地了解腺体数量的情况下确定每个腺体的平均排汗率。统计分析可以适应不同的出汗率和汗腺密度。对于腺体密度为0.1的腺体$。\ mathm {mm}^{-2}$,制作了基于开放微流控结构的第一个原型。采用飞秒激光加工熔融二氧化硅衬底,然后进行湿法蚀刻,制备了汗液收集装置原型。用不同流量的去离子水对样机进行了测试。实验表明,该设计能够收集和运输人在久坐状态下排出的少量汗液。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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