Early warning smartphone diagnostics for water security and analysis using real-time pH mapping

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• 作者：Md. Arafat Hossain ; John Canning ; Sandra Ast ; Peter J. Rutledge…
• 关键词：Lab ; in ; a ; phone ; Internet of Things ; optical sensing and sensor ; smartphone sensor ; photonic sensor ; fluorescence ; water security
• 刊名：Photonic Sensors
• 出版年：2015
• 出版时间：December 2015
• 年：2015
• 卷：5
• 期：4
• 页码：289-297
• 全文大小：1,056 KB
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• 作者单位：Md. Arafat Hossain (1) (3)
  John Canning (1) (2)
  Sandra Ast (2)
  Peter J. Rutledge (2)
  Abbas Jamalipour (3)
  
  1. interdisciplinary Photonics Laboratories (iPL), School of Chemistry, The University of Sydney, Sydney, NSW, 2006, Australia
  3. Wireless Networking Group (WiNG), School of Electrical and Information Engineering, The University of Sydney, Sydney, NSW, 2006, Australia
  2. School of Chemistry, The University of Sydney, Sydney, NSW, 2006, Australia
  
• 刊物类别：Physics and Astronomy
• 刊物主题：Chinese Library of Science
  Laser Technology and Physics and Photonics
  Microwaves, RF and Optical Engineering
  Measurement Science and Instrumentation
  Optics, Optoelectronics, Plasmonics and Optical Devices
  
• 出版者：University of Electronic Science and Technology of China, co-published with Springer
• ISSN：2190-7439

文摘

Early detection of environmental disruption, unintentional or otherwise, is increasingly desired to ensure hazard minimization in many settings. Here, using a field-portable, smartphone fluorimeter to assess water quality based on the pH response of a designer probe, a map of pH of public tap water sites has been obtained. A custom designed Android application digitally processed and mapped the results utilizing the global positioning system (GPS) service of the smartphone. The map generated indicates no disruption in pH for all sites measured, and all the data are assessed to fall inside the upper limit of local government regulations, consistent with authority reported measurements. This implementation demonstrates a new security concept: network environmental forensics utilizing the potential of novel smartgrid analysis with wireless sensors for the detection of potential disruption to water quality at any point in the city. This concept is applicable across all smartgrid strategies within the next generation of the Internet of Things and can be extended on national and global scales to address a range of target analytes, both chemical and biological. Keywords Lab-in-a-phone Internet of Things optical sensing and sensor smartphone sensor photonic sensor fluorescence water security