Developing supervised models for estimating methylene blue removal by silver nanoparticles

Authors :: Milad Janghorban Lariche
Hossein Moradi Kazerouni
Fatemeh Farsayad
Shahrzad Soltani
Sheyda Soltani
Hamed Moradi
Hossein Davoudi Nezhad
Source :: Energy Sources, Part A: Recovery, Utilization, and Environmental Effects. 42:1247-1254
Publication Year :: 2019
Publisher :: Informa UK Limited, 2019.
Abstract: Treatment of wastewater from synthetic constituents such as methylene blue (MB) which are extensively harmful to environment and human health is known as important issue in different industries. Al...

Subjects :: Renewable Energy, Sustainability and the Environment
Chemistry
020209 energy
Energy Engineering and Power Technology
02 engineering and technology
Silver nanoparticle
Human health
chemistry.chemical_compound
Fuel Technology
020401 chemical engineering
Nuclear Energy and Engineering
Wastewater
0202 electrical engineering, electronic engineering, information engineering
0204 chemical engineering
Methylene blue
Nuclear chemistry

ISSN :: 15567230 and 15567036
Volume :: 42
Database :: OpenAIRE
Journal :: Energy Sources, Part A: Recovery, Utilization, and Environmental Effects
Accession number :: edsair.doi...........79fee13d59ef4e1e38859a3f8f7624a8

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