氨(NH3)是一种有害的大气污染物,是环境的重要指标,健康,和食品安全条件。具有柔性气体传感器的可穿戴设备提供方便的实时NH3监测能力。提出了一种支持物联网(IoT)的柔性氨气传感系统。该系统中的柔性气体传感器利用聚苯胺(PANI)与多壁碳纳米管(MWCNT)装饰作为敏感材料,涂覆在聚对苯二甲酸乙二醇酯(PET)基板上的银交叉指型电极上。气体传感器与其它电子部件组合以形成柔性电子系统。系统的IoT功能来自具有Wi-Fi功能的微控制器。灵活的气体传感器显示出值得称道的灵敏度,选择性,耐湿性,寿命长。从传感器获得的实验数据显示,0.3ppm的检测阈值非常低,与监测呼出气中氨浓度所需的规范保持一致,其通常范围从0.425到1.8ppm。此外,传感器对干扰气体的存在表现出可忽略的反应,如乙醇,丙酮,和甲醇,从而确保氨检测的高选择性。除了这些属性,传感器在一系列环境条件下保持一致的稳定性,包括不同的湿度水平,重复的弯曲循环,和不同的取向角度。一个便携式的,稳定,通过在边缘端收集数据,展示了用于实时氨传感的有效灵活的物联网系统解决方案,处理云中的数据,并在用户端显示数据。
Ammonia (NH3) is a harmful atmospheric pollutant and an important indicator of environment, health, and food safety conditions. Wearable devices with flexible gas sensors offer convenient real-time NH3 monitoring capabilities. A flexible ammonia gas sensing system to support the internet of things (
IoT) is proposed. The flexible gas sensor in this system utilizes polyaniline (PANI) with multiwall carbon nanotubes (MWCNTs) decoration as a sensitive material, coated on a silver interdigital electrode on a polyethylene terephthalate (PET) substrate. Gas sensors are combined with other electronic components to form a flexible electronic system. The
IoT functionality of the system comes from a microcontroller with Wi-Fi capability. The flexible gas sensor demonstrates commendable sensitivity, selectivity, humidity resistance, and long lifespan. The experimental data procured from the sensor reveal a remarkably low detection threshold of 0.3 ppm, aligning well with the required specifications for monitoring ammonia concentrations in exhaled breath gas, which typically range from 0.425 to 1.8 ppm. Furthermore, the sensor demonstrates a negligible reaction to the presence of interfering gases, such as ethanol, acetone, and methanol, thereby ensuring high selectivity for ammonia detection. In addition to these attributes, the sensor maintains consistent stability across a range of environmental conditions, including varying humidity levels, repeated bending cycles, and diverse angles of orientation. A portable, stable, and effective flexible
IoT system solution for real-time ammonia sensing is demonstrated by collecting data at the edge end, processing the data in the cloud, and displaying the data at the user end.