Antonova Irina V, Poteryayev Dmitriy A, Ivanov Artem I, Nebogatikova Nadezhda A, Shavelkina Marina B
Rzhanov Institute of Semiconductor Physics SB RAS, 13 Lavrentiev aven., Novosibirsk 630090, Russia.
Novosibirsk State Technical University, 20 K. Marx str., Novosibirsk 630073, Russia.
Phys Chem Chem Phys. 2024 Feb 7;26(6):5489-5498. doi: 10.1039/d3cp05458f.
Prospective composites, based on graphene (G) and hexagonal boron nitride (h-BN) nanoparticles, synthesized using a plasma jet and conducting polymer PEDOT:PSS, were used to create and study a set of sensors in the current study. The composites used were G:PEDOT:PSS (GPP) and G:h-BN:PEDOT:PSS (GBNPP). The PEDOT:PSS content in the composites was 10 wt%, and the ratio of G : h-BN was 1 : 1 in GBNPP. The development of these new highly conductive graphene-based composites makes it possible to create an active sensor layer with an ultra-low thickness of several nanometers. The ultra-high sensitivity of the current response, , was ((2.0-3.3) × 10)% for GPP and GBNPP (2-3 printing layers) for a humidity range of 20-80%. The sensor response in the form of current pulses associated with human breathing has a range of ∼2-3 orders of magnitude. Two different processes are assumed to determine the form of the current pulse: the first is a fast process with a rise time of less than 1-4 seconds; the second is a relatively slow process with a front time of several tens of seconds. When touching with a finger (useful, for instance, for a flexible touchpad), a current response was observed as pulses of ∼2-3 orders of magnitude. We hypothesize that skin sweat is likely to play a critical role in the sensory response. Thus, this work presents an effective approach to creating a highly sensitive humidity sensor based on composite 2D materials. Moreover, the ultra-high sensitivity of the studied sensors is accompanied by their low cost and ease of manufacturing by 2D-printing.
在本研究中,使用等离子体射流合成的基于石墨烯(G)和六方氮化硼(h-BN)纳米颗粒与导电聚合物聚(3,4-乙撑二氧噻吩):聚苯乙烯磺酸盐(PEDOT:PSS)的前瞻性复合材料,用于制备和研究一组传感器。所使用的复合材料为G:PEDOT:PSS(GPP)和G:h-BN:PEDOT:PSS(GBNPP)。复合材料中PEDOT:PSS的含量为10 wt%,GBNPP中G与h-BN的比例为1:1。这些新型高导电性石墨烯基复合材料的开发使得创建具有几纳米超低厚度的有源传感器层成为可能。对于GPP和GBNPP(2-3个印刷层),在20-80%的湿度范围内,电流响应的超高灵敏度为((2.0-3.3)×10)%。与人类呼吸相关的电流脉冲形式的传感器响应范围约为2-3个数量级。假设两种不同的过程决定电流脉冲的形式:第一种是上升时间小于1-4秒的快速过程;第二种是前沿时间为几十秒的相对缓慢的过程。当用手指触摸时(例如,对于柔性触摸板很有用),观察到电流响应为约2-3个数量级的脉冲。我们假设皮肤汗液可能在传感响应中起关键作用。因此,这项工作提出了一种基于复合二维材料创建高灵敏度湿度传感器的有效方法。此外,所研究传感器的超高灵敏度伴随着低成本和易于通过二维打印制造的特点。