A Self‐Powered Biochemical Sensor for Intelligent Agriculture Enabled by Signal Enhanced Triboelectric Nanogenerator

Author:

Gao Along1,Zhou Qitao1ORCID,Cao Zhikang1,Xu Wenxia1,Zhou Kang1,Wang Boyou1,Pan Jing1,Pan Caofeng2ORCID,Xia Fan1

Affiliation:

1. 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

2. Beijing Institute of Nanoenergy and Nanosystems Chinese Academy of Sciences Beijing 100083 China

Abstract

AbstractPrecise 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.

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Wiley

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