Department of Materials, University of Manchester, Oxford Road, Manchester M13 9PL, U.K.
Department of Electronic and Electrical Engineering, The University of Sheffield, Sheffield S1 4DE, U.K.
ACS Appl Mater Interfaces. 2020 Mar 18;12(11):13265-13274. doi: 10.1021/acsami.9b20964. Epub 2020 Mar 9.
E-textile consisting of natural fabrics has become a promising material to construct wearable sensors due to its comfortability and breathability on the human body. However, the reported fabric-based e-textile materials, such as graphene-treated cotton, silk, and flax, generally suffer from the electrical and mechanical instability in long-term wearing. In particular, fabrics on the human body have to endure heat variation, moisture evaporation from metabolic activities, and even the immersion with body sweat. To face the above challenges, here we report a wool-knitted fabric sensor treated with graphene oxide (GO) dyeing followed by l-ascorbic acid (l-AA) reduction (rGO). This rGO-based strain sensor is highly stretchable, washable, and durable with rapid sensing response. It exhibits excellent linearity with more than 20% elongation and, most importantly, withstand moisture from 30 to 90% (or even immersed with water) and still maintains good electrical and mechanical properties. We further demonstrate that, by integrating this proposed material with the near-field communication (NFC) system, a batteryless, wireless wearable body movement sensor can be constructed. This material can find wide use in smart garment applications.
由天然纤维制成的电子纺织品因其在人体上的舒适性和透气性而成为构建可穿戴传感器的一种有前途的材料。然而，据报道，基于织物的电子纺织品材料，如经过石墨烯处理的棉花、丝绸和亚麻，通常在长期佩戴中存在电气和机械不稳定的问题。特别是，人体上的织物必须承受热量变化、新陈代谢活动产生的水分蒸发，甚至是人体汗液的浸泡。为了应对上述挑战，我们在这里报告了一种经过氧化石墨烯（GO）染色和 L-抗坏血酸（L-AA）还原（rGO）处理的羊毛针织织物传感器。这种基于 rGO 的应变传感器具有高拉伸性、可清洗性和耐用性，具有快速的感应响应。它具有出色的线性度，可拉伸超过 20%，最重要的是，即使在 30%到 90%的湿度下（甚至浸泡在水中），它仍能保持良好的电气和机械性能。我们进一步证明，通过将这种材料与近场通信（NFC）系统集成，可以构建一种无需电池、无线可穿戴的身体运动传感器。这种材料可以在智能服装应用中得到广泛应用。
