| Literature DB >> 33871965 |
Zhilong Song1,2, Wenhao Ye1,2, Zhuo Chen1,2, Zhesi Chen1,2, Mutian Li1,2, Wenying Tang1,2, Chen Wang1,2, Zhu'an Wan1,2, Swapnadeep Poddar1,2, Xiaolin Wen3, Xiaofang Pan3, Yuanjing Lin4,5, Qingfeng Zhou6, Zhiyong Fan1,2.
Abstract
The accelerated evolution of communication platforms including Internet of Things (IoT) and the fifth generation (5G) wireless communication network makes it possible to build intelligent gas sensor networks for real-time monitoring chemical safety and personal health. However, this application scenario requires a challenging combination of characteristics of gas sensors including small formfactor, low cost, ultralow power consumption, superior sensitivity, and high intelligence. Herein, self-powered integrated nanostructured-gas-sensor (SINGOR) systems and a wirelessly connected SINGOR network are demonstrated here. The room-temperature operated SINGOR system can be self-driven by indoor light with a Si solar cell, and it features ultrahigh sensitivity to H2, formaldehyde, toluene, and acetone with the record low limits of detection (LOD) of 10, 2, 1, and 1 ppb, respectively. Each SINGOR consisting of an array of nanostructured sensors has the capability of gas pattern recognition and classification. Furthermore, multiple SINGOR systems are wirelessly connected as a sensor network, which has successfully demonstrated flammable gas leakage detection and alarm function. They can also achieve gas leakage localization with satisfactory precision when deployed in one single room. These successes promote the development of using nanostructured-gas-sensor network for wide range applications including smart home/building and future smart city.Entities:
Keywords: 3D nanostructured tin oxide; gas sensor network; machine learning algorithm; self-powered device; smart home
Year: 2021 PMID: 33871965 DOI: 10.1021/acsnano.1c01256
Source DB: PubMed Journal: ACS Nano ISSN: 1936-0851 Impact factor: 15.881