Literature DB >> 33871965

Wireless Self-Powered High-Performance Integrated Nanostructured-Gas-Sensor Network for Future Smart Homes.

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


  3 in total

1.  Acetone and Toluene Gas Sensing by WO3: Focusing on the Selectivity from First Principle Calculations.

Authors:  Mario Italo Trioni; Fausto Cargnoni; Stefano Americo; Eleonora Pargoletti; Gian Luca Chiarello; Giuseppe Cappelletti
Journal:  Nanomaterials (Basel)       Date:  2022-08-05       Impact factor: 5.719

2.  Polymer-Templated Durable and Hydrophobic Nanostructures for Hydrogen Gas Sensing Applications.

Authors:  Mohammad Kamal Hossain; Qasem Ahmed Drmosh
Journal:  Polymers (Basel)       Date:  2021-12-20       Impact factor: 4.329

Review 3.  Heteronanostructural metal oxide-based gas microsensors.

Authors:  Lin Liu; Yingyi Wang; Yinhang Liu; Shuqi Wang; Tie Li; Simin Feng; Sujie Qin; Ting Zhang
Journal:  Microsyst Nanoeng       Date:  2022-07-28       Impact factor: 8.006

  3 in total

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