A field-deployable water quality monitoring with machine learning-based smartphone colorimetry-Reference-Cited by-同舟云学术

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A field-deployable water quality monitoring with machine learning-based smartphone colorimetry

Published:2022 Issue:35 Volume:14 Page:3458-3466
ISSN:1759-9660
Container-title:Analytical Methods
language:en
Short-container-title:Anal. Methods

Author:

Doǧan Vakkas¹,Isık Tuǧba²,Kılıç Volkan¹^ORCID,Horzum Nesrin³

Affiliation:

1. Department of Electrical and Electronics Engineering, Izmir Katip Celebi University, 35620 Turkey

2. Department of Mineral Analysis and Technologies, General Directorate of Mineral Research and Exploration (MTA), Ankara, Turkey

3. Department of Engineering Sciences, Izmir Katip Celebi University, 35620 Izmir, Turkey

Abstract

Hydro Sens offers great potential for water quality monitoring in remote settings without advanced equipment.

Publisher

Royal Society of Chemistry (RSC)

Subject

General Engineering,General Chemical Engineering,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2022/AY/D2AY00785A

Reference54 articles.

1. An overview on the advanced oxidation processes applied for the treatment of water pollutants defined in the recently launched Directive 2013/39/EU

2. Emerging organic contaminants in groundwater in Spain: A review of sources, recent occurrence and fate in a European context

3. Comprehensive assessment and visualized monitoring of urban drinking water quality

4. Response surface analysis of photocatalytic degradation of methyl tert-butyl ether by core/shell Fe3O4/ZnO nanoparticles

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