237 related articles for article (PubMed ID: 35998733)
1. Adsorptive removal of humic substances using cationic surfactant-modified nano pumice from water environment: Optimization, isotherm, kinetic and thermodynamic studies.
Kasraee M; Dehghani MH; Mahvi AH; Nabizadeh R; Arjmand MM; Salari M; Hamidi F; Mubarak NM; Tyagi I
Chemosphere; 2022 Nov; 307(Pt 4):135983. PubMed ID: 35998733
[TBL] [Abstract][Full Text] [Related]
2. Adsorptive removal of acid red 18 dye from aqueous solution using hexadecyl-trimethyl ammonium chloride modified nano-pumice.
Kasraee M; Dehghani MH; Hamidi F; Mubarak NM; Karri RR; Rajamohan N; Solangi NH
Sci Rep; 2023 Aug; 13(1):13833. PubMed ID: 37620506
[TBL] [Abstract][Full Text] [Related]
3. Green and low-temperature synthesis of the magnetic modified biochar under the air atmosphere for the adsorptive removal of heavy metal ions from wastewater: CCD-RSM experimental design with isotherm, kinetic, and thermodynamic studies.
Arabkhani P; Asfaram A; Sadegh F
Environ Sci Pollut Res Int; 2023 Dec; 30(57):120085-120102. PubMed ID: 37936036
[TBL] [Abstract][Full Text] [Related]
4. The investigation of kinetic and isotherm of fluoride adsorption onto functionalize pumice stone.
Asgari G; Roshani B; Ghanizadeh G
J Hazard Mater; 2012 May; 217-218():123-32. PubMed ID: 22476092
[TBL] [Abstract][Full Text] [Related]
5. Adsorptive removal of perfluorooctanoic acid from aqueous matrices using peanut husk-derived magnetic biochar: Statistical and artificial intelligence approaches, kinetics, isotherm, and thermodynamics.
Saawarn B; Mahanty B; Hait S
Chemosphere; 2024 Jul; 360():142397. PubMed ID: 38782130
[TBL] [Abstract][Full Text] [Related]
6. Rapid and high-performance adsorptive removal of hazardous acridine orange from aqueous environment using Abelmoschus esculentus seed powder: Single- and multi-parameter optimization studies.
Nayak AK; Pal A
J Environ Manage; 2018 Jul; 217():573-591. PubMed ID: 29649730
[TBL] [Abstract][Full Text] [Related]
7. Co-modified MCM-41 as an effective adsorbent for levofloxacin removal from aqueous solution: optimization of process parameters, isotherm, and thermodynamic studies.
Jin T; Yuan W; Xue Y; Wei H; Zhang C; Li K
Environ Sci Pollut Res Int; 2017 Feb; 24(6):5238-5248. PubMed ID: 28004365
[TBL] [Abstract][Full Text] [Related]
8. Efficient removal of ciprofloxacin and ofloxacin from aqueous solutions using a novel nano-scale adsorbent: Modeling, optimization, and characterization.
Farzinmanesh O; Hosseini Sabzevari M; Asghariganjeh MR
Chemosphere; 2024 Apr; 354():141640. PubMed ID: 38492681
[TBL] [Abstract][Full Text] [Related]
9. Macromolecular humic acid modified nano-hydroxyapatite for simultaneous removal of Cu(II) and methylene blue from aqueous solution: Experimental design and adsorption study.
Wei W; Han X; Zhang M; Zhang Y; Zhang Y; Zheng C
Int J Biol Macromol; 2020 May; 150():849-860. PubMed ID: 32068055
[TBL] [Abstract][Full Text] [Related]
10. Process optimization and enhancement of pesticide adsorption by porous adsorbents by regression analysis and parametric modelling.
Dehghani MH; Hassani AH; Karri RR; Younesi B; Shayeghi M; Salari M; Zarei A; Yousefi M; Heidarinejad Z
Sci Rep; 2021 Jun; 11(1):11719. PubMed ID: 34083608
[TBL] [Abstract][Full Text] [Related]
11. Proficient exclusion of pesticide using humic acid-modified magnetite nanoparticles from aqueous solution.
Jangra A; Kumar J; Singh D; Kumar H; Kumar P; Kumar S; Kumar R
Water Sci Technol; 2022 Dec; 86(11):3028-3040. PubMed ID: 36515204
[TBL] [Abstract][Full Text] [Related]
12. Superior removal of humic acid from aqueous stream using novel calf bones charcoal nanoadsorbent in a reversible process.
Moussavi SP; Kadier A; Singh R; Ashoori R; Shirinkar M; Lu J; Zaidi NS; Sher F
Chemosphere; 2022 Aug; 301():134673. PubMed ID: 35461895
[TBL] [Abstract][Full Text] [Related]
13. Experimental design, modeling and mechanism of cationic dyes biosorption on to magnetic chitosan-lutaraldehyde composite.
Azari A; Noorisepehr M; Dehghanifard E; Karimyan K; Hashemi SY; Kalhori EM; Norouzi R; Agarwal S; Gupta VK
Int J Biol Macromol; 2019 Jun; 131():633-645. PubMed ID: 30857962
[TBL] [Abstract][Full Text] [Related]
14. An adsorbent based on humic acid and carboxymethyl cellulose for efficient dye removal from aqueous solution.
Lu S; Liu W; Wang Y; Zhang Y; Li P; Jiang D; Fang C; Li Y
Int J Biol Macromol; 2019 Aug; 135():790-797. PubMed ID: 31103595
[TBL] [Abstract][Full Text] [Related]
15. Adsorptive removal of oxytetracycline using MnO
Bobde P; Sharma AK; Kumar R; Pal S; Pandey JK; Wadhwa S
Environ Monit Assess; 2023 Oct; 195(11):1291. PubMed ID: 37821660
[TBL] [Abstract][Full Text] [Related]
16. Preparation and characterization of surfactant-modified hydroxyapatite/zeolite composite and its adsorption behavior toward humic acid and copper(II).
Zhan Y; Lin J; Li J
Environ Sci Pollut Res Int; 2013 Apr; 20(4):2512-26. PubMed ID: 22961484
[TBL] [Abstract][Full Text] [Related]
17. Biosorptive uptake of ibuprofen by steam activated biochar derived from mung bean husk: Equilibrium, kinetics, thermodynamics, modeling and eco-toxicological studies.
Mondal S; Bobde K; Aikat K; Halder G
J Environ Manage; 2016 Nov; 182():581-594. PubMed ID: 27544645
[TBL] [Abstract][Full Text] [Related]
18. Use of adsorption-influencing parameters for designing the batch adsorber and neural network-based prediction modelling for the aqueous arsenate removal using combustion synthesised nano-alumina.
Prabhakar R; Samadder SR
Environ Sci Pollut Res Int; 2020 Jul; 27(21):26367-26384. PubMed ID: 32363464
[TBL] [Abstract][Full Text] [Related]
19. Decolorization of crystal violet from aqueous solutions by a novel adsorbent chitosan/nanodiopside using response surface methodology and artificial neural network-genetic algorithm.
Nasab SG; Semnani A; Teimouri A; Yazd MJ; Isfahani TM; Habibollahi S
Int J Biol Macromol; 2019 Mar; 124():429-443. PubMed ID: 30452982
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
