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Zamani W, Rastgar S, Hedayati A, Tajari M, Ghiasvand Z. Solvent-thermal approach of MIL-100(Fe)/Cygnea/Fe 3O 4/TiO 2 nanocomposite for the treatment of lead from oil refinery wastewater (ORW) under UVA light. Sci Rep 2024; 14:4476. [PMID: 38396129 PMCID: PMC10891111 DOI: 10.1038/s41598-024-54897-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Accepted: 02/18/2024] [Indexed: 02/25/2024] Open
Abstract
The main purpose of this research endeavor is to reduce lead concentrations in the wastewater of an oil refinery through the utilization of a material composed of oyster shell waste (MIL-100(Fe)/Cygnea/Fe3O4/TiO2. Initially, iron oxide nanoparticles (Fe3O4) were synthesized via solvent-thermal synthesis. It was subsequently coated layer by layer with the organic-metallic framework MIL-100 (Fe) using the core-shell method. Additionally, the solvent-thermal method was utilized to integrate TiO2 nanoparticles into the magnetic organic-metallic framework's structure. Varieties of analytical analysis were utilized to investigate the physical and chemical properties of the synthetic final photocatalyst. Nitrogen adsorption and desorption technique (BET), scanning electron microscopy (SEM), scanning electron diffraction pattern (XRD), and transmission electron microscopy (TEM). Following the characterization of the final photocatalyst, the physical and chemical properties of the nanoparticles synthesized in each step, several primary factors that significantly affect the removal efficiency in the advanced oxidation system (AOPs) were examined. These variables consist of pH, photocatalyst dosage, lead concentration, and reaction temperature. The synthetic photocatalyst showed optimal performance in the removal of lead from petroleum wastewater under the following conditions: 35 °C temperature, pH of 3, 0.04 g/l photocatalyst dosage, and 100 mg/l wastewater concentration. Additionally, the photocatalyst maintained a significant level of reusability after undergoing five cycles. The findings of the study revealed that the photocatalyst dosage and pH were the most influential factors in the effectiveness of lead removal. According to optimal conditions, lead removal reached a maximum of 96%. The results of this investigation showed that the synthetic photocatalyst, when exposed to UVA light, exhibited an extraordinary capacity for lead removal.
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Affiliation(s)
- Wahid Zamani
- Department of Environmental Science, Faculty of Natural Resources, University of Kurdistan, Sanandaj, 15175-66177, Iran.
| | - Saeedeh Rastgar
- Department of Environmental Sciences, Faculty of Fisheries and Environmental Sciences, Gorgan University of Agricultural Sciences and Natural Resources, Gorgān, 49189-43464, Iran.
| | - Aliakbar Hedayati
- Faculty of Fisheries and Environmental Sciences, Gorgan University of Agricultural Sciences and Natural Resources, Gorgān, 49189-43464, Iran
| | - Mohsen Tajari
- Department of Fisheries, Bandargaz Branch, Islamic Azad University, Bandargaz, 48731-97179, Iran
| | - Zahra Ghiasvand
- Department of Animal Science and Aquaculture, Faculty of Agriculture, Dalhousie University, Halifax, Canada
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Angelo JS, Guedes IA, Barbosa HJC, Dardenne LE. Multi-and many-objective optimization: present and future in de novo drug design. Front Chem 2023; 11:1288626. [PMID: 38192501 PMCID: PMC10773868 DOI: 10.3389/fchem.2023.1288626] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Accepted: 11/27/2023] [Indexed: 01/10/2024] Open
Abstract
de novo Drug Design (dnDD) aims to create new molecules that satisfy multiple conflicting objectives. Since several desired properties can be considered in the optimization process, dnDD is naturally categorized as a many-objective optimization problem (ManyOOP), where more than three objectives must be simultaneously optimized. However, a large number of objectives typically pose several challenges that affect the choice and the design of optimization methodologies. Herein, we cover the application of multi- and many-objective optimization methods, particularly those based on Evolutionary Computation and Machine Learning techniques, to enlighten their potential application in dnDD. Additionally, we comprehensively analyze how molecular properties used in the optimization process are applied as either objectives or constraints to the problem. Finally, we discuss future research in many-objective optimization for dnDD, highlighting two important possible impacts: i) its integration with the development of multi-target approaches to accelerate the discovery of innovative and more efficacious drug therapies and ii) its role as a catalyst for new developments in more fundamental and general methodological frameworks in the field.
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Affiliation(s)
| | | | | | - Laurent E. Dardenne
- Coordenação de Modelagem Computacional, Laboratório Nacional de Computação Científica, Petrópolis, Brazil
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Pandya SB, Socha BN, Dubey RP, Patel UH, Patel RH, Bhatt BS, Thakor P, Bhakhar S, Vekariya N, Valand J. Visible light-driven photocatalysts, quantum chemical calculations, ADMET-SAR parameters, and DNA binding studies of nickel complex of sulfadiazine. Sci Rep 2023; 13:15275. [PMID: 37714951 PMCID: PMC10504334 DOI: 10.1038/s41598-023-42668-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Accepted: 09/13/2023] [Indexed: 09/17/2023] Open
Abstract
A 3D-supramolecular nickel integrated Ni-SDZ complex was synthesized using sodium salt of sulfadiazine as the ligand and nickel(II) acetate as the metal salt using a condensation process and slow evaporation approach to growing the single crystal. The metal complex was characterized for its composition, functional groups, surface morphology as well as complex 3D structure, by resorting to various analytical techniques. The interacting surface and stability as well as reactivity of the complex were carried out using the DFT platform. From ADMET parameters, human Intestinal Absorbance data revealed that the compound has the potential to be well absorbed, and also Ni-SDZ complex cannot cross the blood-brain barrier (BBB). Additionally, the complex's DNA binding affinity and in-vivo and in-vitro cytotoxic studies were explored utilizing UV-Vis absorbance titration, viscosity measurements, and S. pombe cells and brine shrimp lethality tests. In visible light radiation, the Ni-SDZ complex displayed exceptional photo-degradation characteristics of approximately 70.19% within 70 min against methylene blue (MB).
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Affiliation(s)
- Sachin B Pandya
- Department of Physics, Sardar Patel University, Vallabh Vidyanagar, Anand, 388120, Gujarat, India.
- Vivekanand P.G. College, Govind Guru Tribal University, Banswara, Rajasthan, India.
| | - Bhavesh N Socha
- Department of Physics, Sardar Patel University, Vallabh Vidyanagar, Anand, 388120, Gujarat, India.
- Department of Materials Science, Sardar Patel University, Vallabh Vidyanagar, Anand, 388120, Gujarat, India.
| | - Rahul P Dubey
- Department of Physics, Sardar Patel University, Vallabh Vidyanagar, Anand, 388120, Gujarat, India
| | - Urmila H Patel
- Department of Physics, Sardar Patel University, Vallabh Vidyanagar, Anand, 388120, Gujarat, India
| | - R H Patel
- Department of Materials Science, Sardar Patel University, Vallabh Vidyanagar, Anand, 388120, Gujarat, India
| | - Bhupesh S Bhatt
- Department of Chemistry, Sardar Patel University, Vallabh Vidyanagar, Anand, 388120, Gujarat, India
| | - Parth Thakor
- Bapubhai Desaibhai Patel Institute of Paramedical Sciences, Charotar University of Science and Technology, Changa, India
| | - Sanjay Bhakhar
- Department of Physics, Sardar Patel University, Vallabh Vidyanagar, Anand, 388120, Gujarat, India
| | - Nikhil Vekariya
- Department of Materials Science, Sardar Patel University, Vallabh Vidyanagar, Anand, 388120, Gujarat, India
| | - Jignesh Valand
- Department of Materials Science, Sardar Patel University, Vallabh Vidyanagar, Anand, 388120, Gujarat, India
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