313 related articles for article (PubMed ID: 33128712)
1. Artificial neural network modeling for Congo red adsorption on microwave-synthesized akaganeite nanoparticles: optimization, kinetics, mechanism, and thermodynamics.
Nguyen VD; Nguyen HTH; Vranova V; Nguyen LTN; Bui QM; Khieu TT
Environ Sci Pollut Res Int; 2021 Feb; 28(8):9133-9145. PubMed ID: 33128712
[TBL] [Abstract][Full Text] [Related]
2. Congo red dye removal from aqueous environment by cationic surfactant modified-biomass derived carbon: Equilibrium, kinetic, and thermodynamic modeling, and forecasting via artificial neural network approach.
Karaman C; Karaman O; Show PL; Karimi-Maleh H; Zare N
Chemosphere; 2022 Mar; 290():133346. PubMed ID: 34929270
[TBL] [Abstract][Full Text] [Related]
3. Artificial neural network-genetic algorithm based optimization for the adsorption of methylene blue and brilliant green from aqueous solution by graphite oxide nanoparticle.
Ghaedi M; Zeinali N; Ghaedi AM; Teimuori M; Tashkhourian J
Spectrochim Acta A Mol Biomol Spectrosc; 2014 May; 125():264-77. PubMed ID: 24556135
[TBL] [Abstract][Full Text] [Related]
4. Equilibrium isotherms, kinetics, and thermodynamics studies for congo red adsorption using calcium alginate beads impregnated with nano-goethite.
Munagapati VS; Kim DS
Ecotoxicol Environ Saf; 2017 Jul; 141():226-234. PubMed ID: 28349874
[TBL] [Abstract][Full Text] [Related]
5. Modeling of methylene blue removal on Fe
Altintig E; Özcelik TÖ; Aydemir Z; Bozdag D; Kilic E; Yılmaz Yalçıner A
Int J Phytoremediation; 2023; 25(13):1714-1732. PubMed ID: 36927305
[TBL] [Abstract][Full Text] [Related]
6. Growth of MWCNTs from Azadirachta indica oil for optimization of chromium(VI) removal efficiency using machine learning approach.
Uthayakumar H; Radhakrishnan P; Shanmugam K; Kushwaha OS
Environ Sci Pollut Res Int; 2022 May; 29(23):34841-34860. PubMed ID: 35041160
[TBL] [Abstract][Full Text] [Related]
7. Utilization of a double-cross-linked amino-functionalized three-dimensional graphene networks as a monolithic adsorbent for methyl orange removal: Equilibrium, kinetics, thermodynamics and artificial neural network modeling.
Karaman C; Karaman O; Show PL; Orooji Y; Karimi-Maleh H
Environ Res; 2022 May; 207():112156. PubMed ID: 34599897
[TBL] [Abstract][Full Text] [Related]
8. Isotherm and kinetics study of malachite green adsorption onto copper nanowires loaded on activated carbon: artificial neural network modeling and genetic algorithm optimization.
Ghaedi M; Shojaeipour E; Ghaedi AM; Sahraei R
Spectrochim Acta A Mol Biomol Spectrosc; 2015 May; 142():135-49. PubMed ID: 25699703
[TBL] [Abstract][Full Text] [Related]
9. Removal of anionic dyes (Reactive Black 5 and Congo Red) from aqueous solutions using Banana Peel Powder as an adsorbent.
Munagapati VS; Yarramuthi V; Kim Y; Lee KM; Kim DS
Ecotoxicol Environ Saf; 2018 Feb; 148():601-607. PubMed ID: 29127823
[TBL] [Abstract][Full Text] [Related]
10. Magnetic nanopowder as effective adsorbent for the removal of Congo Red from aqueous solution.
Paşka O; Ianoş R; Păcurariu C; Brădeanu A
Water Sci Technol; 2014; 69(6):1234-40. PubMed ID: 24647189
[TBL] [Abstract][Full Text] [Related]
11. Use of algal biorefinery waste and waste office paper in the development of xerogels: A low cost and eco-friendly biosorbent for the effective removal of congo red and Fe (II) from aqueous solutions.
Fawzy MA; Gomaa M
J Environ Manage; 2020 May; 262():110380. PubMed ID: 32250831
[TBL] [Abstract][Full Text] [Related]
12. Efficient adsorption of hexavalent chromium ions onto novel ferrochrome slag/polyaniline nanocomposite: ANN modeling, isotherms, kinetics, and thermodynamic studies.
Khan MI; Almesfer MK; Elkhaleefa AM; Aamary A; Ali IH; Shamim MZ; Shoukry H; Rehan M
Environ Sci Pollut Res Int; 2022 Dec; 29(57):86665-86679. PubMed ID: 35799000
[TBL] [Abstract][Full Text] [Related]
13. Removal of anionic dye Congo red from aqueous solution by raw pine and acid-treated pine cone powder as adsorbent: equilibrium, thermodynamic, kinetics, mechanism and process design.
Dawood S; Sen TK
Water Res; 2012 Apr; 46(6):1933-46. PubMed ID: 22289676
[TBL] [Abstract][Full Text] [Related]
14. Cereus sp. as potential biosorbent for removal of Congo red from aqueous solution: isotherm and kinetic investigations.
Jeyavishnu K; Alagesan V
Environ Monit Assess; 2020 Mar; 192(4):243. PubMed ID: 32193684
[TBL] [Abstract][Full Text] [Related]
15. Synthesizing nanoparticles of zinc and copper ferrites and examining their potential to remove various organic dyes through comparative studies of kinetics, isotherms, and thermodynamics.
Patil DJ; Behera SN
Environ Monit Assess; 2023 Apr; 195(5):591. PubMed ID: 37079140
[TBL] [Abstract][Full Text] [Related]
16. Modeling of Cu(II) Adsorption from an Aqueous Solution Using an Artificial Neural Network (ANN).
Khan T; Binti Abd Manan TS; Isa MH; Ghanim AAJ; Beddu S; Jusoh H; Iqbal MS; Ayele GT; Jami MS
Molecules; 2020 Jul; 25(14):. PubMed ID: 32708928
[TBL] [Abstract][Full Text] [Related]
17. Artificial neural network (ANN) method for modeling of sunset yellow dye adsorption using zinc oxide nanorods loaded on activated carbon: Kinetic and isotherm study.
Maghsoudi M; Ghaedi M; Zinali A; Ghaedi AM; Habibi MH
Spectrochim Acta A Mol Biomol Spectrosc; 2015 Jan; 134():1-9. PubMed ID: 24995412
[TBL] [Abstract][Full Text] [Related]
18. CTAB-modified peanut husk pre-treated with KMnO
Aryee AA; Han R; Qu L
Environ Sci Pollut Res Int; 2024 Jan; 31(4):5582-5595. PubMed ID: 38127238
[TBL] [Abstract][Full Text] [Related]
19. Biowaste-Derived, Highly Efficient, Reusable Carbon Nanospheres for Speedy Removal of Organic Dyes from Aqueous Solutions.
Krishnappa B; Bhat VS; Ancy V; Joshi JC; S JM; Naik M; Hegde G
Molecules; 2022 Oct; 27(20):. PubMed ID: 36296613
[TBL] [Abstract][Full Text] [Related]
20. Artificial neural network and particle swarm optimization for removal of methyl orange by gold nanoparticles loaded on activated carbon and Tamarisk.
Ghaedi M; Ghaedi AM; Ansari A; Mohammadi F; Vafaei A
Spectrochim Acta A Mol Biomol Spectrosc; 2014 Nov; 132():639-54. PubMed ID: 24892545
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]