Quasi-SMILES as a tool to predict removal rates of pharmaceuticals and dyes in sewage-Reference-Cited by-同舟云学术

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Quasi-SMILES as a tool to predict removal rates of pharmaceuticals and dyes in sewage

Published:2018-08 Issue: Volume:118 Page:227-233
ISSN:0957-5820
Container-title:Process Safety and Environmental Protection
language:en
Short-container-title:Process Safety and Environmental Protection

Author:

Toropova Alla P.,Toropov Andrey A.,Benfenati Emilio,Castiglioni Sara,Bagnati Renzo,Passoni Alice,Zuccato Ettore,Fanelli Roberto

Funder

LIFE-COMBASE

Publisher

Elsevier BV

Subject

Safety, Risk, Reliability and Quality,General Chemical Engineering,Environmental Chemistry,Environmental Engineering

Reference40 articles.

1. A quasi-SMILES based QSPR Approach towards the prediction of adsorption energy of Ziegler – Natta catalysts for propylene polymerization;Achary;Mater. Discov.,2016

2. Removal of pharmaceuticals by a pilot aerated sub-surface flow constructed wetland treating municipal and hospital wastewater;Auvinen;Ecol. Eng.,2017

3. Pharmaceuticals and personal care products in the environment: what are the big questions?;Boxall;Environ. Health. Perspect.,2012

4. Comparison of photocatalytic degradation of dyes in relation to their structure;Byberg;Environ. Sci. Pollut. Res.,2013

5. CORAL, 2016. Available at: http://www.insilico.eu/CORAL. (Accessed September 2017).

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1. Employing Quasi-SMILES Notation in Development of Nano-QSPR Models for Nanofluids;Challenges and Advances in Computational Chemistry and Physics;2023

2. SMILES and Quasi-SMILES in QSAR Modeling for Prediction of Physicochemical and Biochemical Properties;Challenges and Advances in Computational Chemistry and Physics;2023

3. Quantitative structure–activity relationship(QSAR) models for color and COD removal for some dyes subjected to electrochemical oxidation;Environmental Technology;2022-02-02

4. A new approach to model isobaric heat capacity and density of some nitride-based nanofluids using Monte Carlo method;Advanced Powder Technology;2020-07

5. The Monte Carlo Method as a Tool to Build up Predictive QSPR/QSAR;Current Computer-Aided Drug Design;2020-06-02

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