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Proceedings ArticleDOI

Software sensor for potable water quality through qualitative and quantitative analysis using artificial intelligence

10 Jul 2015-pp 208-213
TL;DR: Proposed approach which would be free from reagent, rugged, and field-usable method, and would use fusion of spectroscopy, nano-structured sample holder, and Machine learning extraction algorithms is presented.
Abstract: The analysis and control of potable water quality is increasingly fascinating due to its impacts on human life. Numerous lab-scale and field-scale treatment and sensing methods are created in this field to safeguard this natural vital asset. From long several methods were experimented determining water quality including traditional one's such as wet-chemistry which needs reagents, electro-chemical based, and most recently machine learning based software models to name a few however, performance enhancement and development of truly ion-selective electrodes has been still area of most interest and current area of research world-wide. In this paper, spectroscopic fusion for quantitative determination of qualitative attributes of water parameters will be explored with the application of chemometrics. An integration of multi-spectral, surface enhanced Raman spectroscopy, UV-Visible spectroscopy in the presence of multi-sample holder made off with and without nanostructured substrate will be attempted, and the patterns would be analyzed using Principal Component Analysis and other similar Machine Learning techniques. A set of pseudo-sampling matrix comprising of training and validation sets would be demonstrated on a lab-scale basis as a proof-of-concept. This paper also aims to overview existing practices, and presents proposed approach which would be free from reagent, rugged, and field-usable method, and would use fusion of spectroscopy, nano-structured sample holder, and Machine learning extraction algorithms.
Citations
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Proceedings ArticleDOI
01 Nov 2019
TL;DR: A survey of various water monitoring techniques with a view to check the quality of potable water available to the general public is presented in this paper, with emphasis on the use of artificial intelligence that has become part of society.
Abstract: Water quality is of immense importance to the general health and safe livelihoods of citizens. This paper presents a survey of various water monitoring techniques with a view to check the quality of potable water available to the general public. The study analyses water quality monitoring methods with emphasis on the use of artificial intelligence that has become part of society. This technological advancement has provided a tool for potable water quality to be monitored by consumers themselves. The study concludes with providing gaps that may exist in literature as it affects the monitoring of water quality both in the household and in industry.

3 citations


Cites background from "Software sensor for potable water q..."

  • ...The application of AI in water resources could increase the rate of allocation of water resources to the scientific and utilization of water resources to the rational development [5]....

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  • ...A good motivation for the use of AI is that the technology has grown rapidly in recent times and has been widely used in medicine, business, engineering, science and other fields [5,6]....

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References
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Journal ArticleDOI
TL;DR: This study shows the successful integration of paper-based microfluidics and electrochemical detection as an easy-to-use, inexpensive, and portable alternative for point of care monitoring.
Abstract: We report the first demonstration of electrochemical detection for paper-based microfluidic devices. Photolithography was used to make microfluidic channels on filter paper, and screen-printing technology was used to fabricate electrodes on the paper-based microfluidic devices. Screen-printed electrodes on paper were characterized using cyclic voltammetry to demonstrate the basic electrochemical performance of the system. The utility of our devices was then demonstrated with the determination of glucose, lactate, and uric acid in biological samples using oxidase enzyme (glucose oxidase, lactate oxidase, and uricase, respectively) reactions. Oxidase enzyme reactions produce H2O2 while decomposing their respective substrates, and therefore a single electrode type is needed for detection of multiple species. Selectivity of the working electrode for H2O2 was improved using Prussian Blue as a redox mediator. The determination of glucose, lactate, and uric acid in control serum samples was performed using chron...

1,037 citations

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TL;DR: This critical review describes the basic fabrication principles, the configuration designs of SPEs and the hybrid analytical techniques based on SPEs, including the determination of organic compounds, heavy metals and gas pollutants over the past 3 years.

426 citations

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TL;DR: The latest technologies in wireless communication can make the remote medical monitoring, consulting, and health care more flexible and convenient, but there are challenges for successful wireless telemedicine.
Abstract: The movement of telemedicine from desktop platforms to wireless and mobile configurations may have a significant impact on future health care. This paper reviews some of the latest technologies in wireless communication and their application in health care. The new technologies can make the remote medical monitoring, consulting, and health care more flexible and convenient. But, there are challenges for successful wireless telemedicine, which are addressed in this paper.

252 citations


"Software sensor for potable water q..." refers background in this paper

  • ...As mobile phone networks exist ubiquitously, new applications are n o w b e i n g d e v e l o p e d for m o b i l e e n a b l e d medical technology for developing countries [7, 8]....

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TL;DR: An overview of voltammetric techniques used since 2001 shows that stripping voltammetry is a sensitive and inexpensive technique.

185 citations

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TL;DR: The objective of this paper is to review the current state-of-the-art of the integration of AI into water quality modelling and to incorporate the existing heuristic knowledge about model manipulation and to furnish intelligent manipulation of calibration parameters.

179 citations


"Software sensor for potable water q..." refers background in this paper

  • ...A review has also been done on Current state-ofthe-art of integration of AI and knowledge into water quality modelling in order to bridge the gap between data [17]....

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