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

Hossain, MA; Canning, J; Ast, S; Rutledge, PJ; Jamalipour, A

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

Hossain, MA Canning, J

Ast, S Rutledge, PJ Jamalipour, A

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Publication Type:: Journal Article
Citation:: Photonic Sensors, 2015, 5 (4), pp. 289 - 297
Issue Date:: 2015-12-01

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Field	Value	Language
dc.contributor.author	Hossain, MA	en_US
dc.contributor.author	Canning, J https://orcid.org/0000-0001-8281-7783	en_US
dc.contributor.author	Ast, S	en_US
dc.contributor.author	Rutledge, PJ	en_US
dc.contributor.author	Jamalipour, A	en_US
dc.date.issued	2015-12-01	en_US
dc.identifier.citation	Photonic Sensors, 2015, 5 (4), pp. 289 - 297	en_US
dc.identifier.issn	1674-9251	en_US
dc.identifier.uri	http://hdl.handle.net/10453/119233
dc.description.abstract	© 2015, The Author(s). 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.	en_US
dc.relation.ispartof	Photonic Sensors	en_US
dc.relation.isbasedon	10.1007/s13320-015-0256-x	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Early warning smartphone diagnostics for water security and analysis using real-time pH mapping	en_US
dc.type	Journal Article
utslib.citation.volume	4	en_US
utslib.citation.volume	5	en_US
utslib.for	0205 Optical Physics	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	1007 Nanotechnology	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
utslib.copyright.status	open_access	*
pubs.issue	4	en_US
pubs.publication-status	Published	en_US
pubs.volume	5	en_US

Abstract:

© 2015, The Author(s). 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.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/119233