State Key Laboratory of Biogeology and Environmental Geology, Engineering Research Center of Nano-Geomaterials of the Ministry of Education, Faculty of Materials Science and Chemistry, China University of Geosciences, Wuhan, 430074, China.
Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 100083, China.
Adv Sci (Weinh). 2024 Jun;11(22):e2309824. doi: 10.1002/advs.202309824. Epub 2024 Apr 1.
Precise agriculture based on intelligent agriculture plays a significant role in sustainable development. The agricultural Internet of Things (IoTs) is a crucial foundation for intelligent agriculture. However, the development of agricultural IoTs has led to exponential growth in various sensors, posing a major challenge in achieving long-term stable power supply for these distributed sensors. Introducing a self-powered active biochemical sensor can help, but current sensors have poor sensitivity and specificity making this application challenging. To overcome this limitation, a triboelectric nanogenerator (TENG)-based self-powered active urea sensor which demonstrates high sensitivity and specificity is developed. This device achieves signal enhancement by introducing a volume effect to enhance the utilization of charges through a novel dual-electrode structure, and improves the specificity of urea detection by utilizing an enzyme-catalyzed reaction. The device is successfully used to monitor the variation of urea concentration during crop growth with concentrations as low as 4 µm, without being significantly affected by common fertilizers such as potassium chloride or ammonium dihydrogen phosphate. This is the first self-powered active biochemical sensor capable of highly specific and highly sensitive fertilizer detection, pointing toward a new direction for developing self-powered active biochemical sensor systems within sustainable development-oriented agricultural IoTs.
基于智能农业的精准农业对可持续发展起着重要作用。农业物联网(IoT)是智能农业的重要基础。然而,农业 IoT 的发展导致各种传感器呈指数级增长,这对实现这些分布式传感器的长期稳定供电构成了重大挑战。引入自供电主动生化传感器可能会有所帮助,但当前的传感器灵敏度和特异性较差,使得这一应用具有挑战性。为了克服这一限制,开发了一种基于摩擦纳米发电机(TENG)的自供电主动尿素传感器,该传感器具有高灵敏度和特异性。该器件通过引入体积效应通过新颖的双电极结构增强电荷的利用来实现信号增强,并利用酶催化反应提高尿素检测的特异性。该器件成功地用于监测作物生长过程中尿素浓度的变化,检测下限低至 4 µm,且不受常见肥料(如氯化钾或磷酸二氢铵)的显著影响。这是第一个能够进行高特异性和高灵敏度肥料检测的自供电主动生化传感器,为可持续发展导向的农业 IoT 中自供电主动生化传感器系统的开发指明了新的方向。