Live non-invasive monitoring of biomarkers is of great importance for the medical community. Moreover, some studies suggest that there is a substantial business gap in the development of mass-production commercial sweat-analysing wearables with great revenue potential. The objective of this work is to quantify the concentration of biomarkers that reaches the area of the garment where a sensor is positioned to advance the development of commercial sweat-analysing garments.,Computational analysis of the microfluidic transport of biomarkers within eccrine sweat glands provides a powerful way to explore the potential for quantitative measurements of biomarkers that can be related to the health and/or the physical activity parameters of an individual. The numerical modelling of sweat glands and the interaction of sweat with a textile layer remain however rather unexplored. This work presents a simulation of the production of sweat in the eccrine gland, reabsorption from the dermal duct into the surrounding skin and diffusion within an overlying garment.,The model represents satisfactorily the relationship between the biomarker concentration and the flow rate of sweat. The biomarker distribution across an overlying garment has also been calculated and subsequently compared to the minimum amount detectable by a sensor previously reported in the literature. The model can thus be utilized to check whether or not a given sensor can detect the minimum biomarker concentration threshold accumulated on a particular type of garment.,The present work presents to the best of our knowledge, the earliest numerical models of the sweat gland carried out so far. The model describes the flow of human sweat along the sweat duct and on to an overlying piece of garment. The model considers complex phenomena, such as reabsorption of sweat into the skin layers surrounding the duct, and the structure of the fibres composing the garment. Biomarker concentration maps are obtained to check whether sensors can detect the threshold concentration that triggers an electric signal. This model finds application in the development of smart textiles.

中文翻译：

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用于开发智能服装的外分泌汗与纺织面料相互作用的数值模拟

生物标志物的实时无创监测对医学界来说非常重要。此外，一些研究表明，在开发具有巨大收入潜力的量产商用汗液分析可穿戴设备方面存在巨大的商业差距。这项工作的目的是量化到达服装区域的生物标志物的浓度，传感器位于该区域，以促进商业汗液分析服装的开发。外分泌汗腺内生物标志物微流体传输的计算分析提供了一个探索与个人健康和/或身体活动参数相关的生物标志物定量测量潜力的强大方法。然而，汗腺的数值建模以及汗液与纺织层的相互作用仍然相当未探索。这项工作模拟了外分泌腺中汗液的产生、从真皮导管重新吸收到周围皮肤以及在覆盖的衣服内扩散。该模型令人满意地表示了生物标志物浓度与汗液流速之间的关系。还计算了覆盖衣服上的生物标志物分布，并随后与文献中先前报道的传感器可检测到的最小量进行了比较。因此，该模型可用于检查给定的传感器是否可以检测特定类型服装上累积的最小生物标志物浓度阈值。据我们所知，目前的工作是：迄今为止进行的最早的汗腺数值模型。该模型描述了人体汗液沿着汗管流到上面的衣服上。该模型考虑了复杂的现象，例如汗液重新吸收到导管周围的皮肤层中，以及构成服装的纤维结构。获得生物标志物浓度图以检查传感器是否可以检测触发电信号的阈值浓度。该模型在智能纺织品的开发中得到应用。以及构成服装的纤维的结构。获得生物标志物浓度图以检查传感器是否可以检测触发电信号的阈值浓度。该模型在智能纺织品的开发中得到应用。以及构成服装的纤维的结构。获得生物标志物浓度图以检查传感器是否可以检测触发电信号的阈值浓度。该模型在智能纺织品的开发中得到应用。