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Socha BN, Pandya SB, Patel UH, Patel RH, Bhatt BS, Bhakhar S, Vekariya N, Valand J, Thakor P, Thakkar AB. 1-D MOF [Ag 2(C 10H 10N 3O 3S) 2(C 4H 8N) 2]n: photocatalytic treatment, crystallographic evaluation, ADMET parameters, CT-DNA and anticancer activity. J Biomol Struct Dyn 2024; 42:6925-6940. [PMID: 37491860 DOI: 10.1080/07391102.2023.2236732] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Accepted: 07/10/2023] [Indexed: 07/27/2023]
Abstract
Newly synthesized dinuclear crystalline polymer, the silver complex of bidentate Sulfamethoxazole (Ag-SMX) in the presence of secondary ligand pyrrolidine has been characterized by elemental, spectral (1H-NMR spectra, FT-IR spectra, UV-Vis spectra.), powder XRD, and single-crystal X-ray diffraction (single-crystal) analysis. The synthesis molecular structure of the dinuclear [Ag2(C10H10N3O3S)2(C4H8N)2]n complex reveals a one-dimensional polymeric chain with seesaw geometry (τ4 = 0.71): two silvers interlink each other by argentophilic interaction with Ag1…Ag2 separation distance of 3.0047(6) Å. The Hirshfeld surfaces (HS) and 2D fingerprint plots were used to examine the interconnects in the crystal packing. Molecule properties including MEP, MPA, HOMO-LUMO energy, and global reactivity descriptor parameters were computed to understand the molecule's stability. From ADMET parameters, human Intestinal Absorbance data revealed that the compound has the potential to be well absorbed, and also Ag-smx complex cannot cross the blood-brain barrier (BBB). The capacity of the silver complex to interact with CtDNA was investigated using absorption spectroscopy and viscosity tests. The interaction between CT-DNA reveals that the Ag-SMX complex exhibits the strongest binding affinity among all known sulfonamide derivatives and their metal complexes. The silver complex has higher inhibitory action than the free SMX ligand, according to data from a panel of gram (+ve) and gram (-ve) organisms' minimum inhibitory concentrations. In vitro cytotoxicity investigation revealed that the IC50 value for Ag-SMX is 57.12 g/mL and for SMX is 100.90 g/mL against human lung cancer cell line (A549). This study revealed that, when compared to SMX free-ligand, Ag-SMX is the most effective in terms of cytotoxicity toward the human lung cancer cell line (A549 cell line). In under 120 min, the synthesized Ag-smx complex showed exceptional photo-degradation characteristics against methylene blue (MB) (10 ppm) in visible light radiation.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Bhavesh N Socha
- X-Ray Laboratory, Department of Physics, Sardar Patel University, Vallabh Vidyanagar, Gujarat, India
- Department of Materials Science, Sardar Patel University, Vallabh Vidyanagar, Gujarat, India
| | - Sachin B Pandya
- X-Ray Laboratory, Department of Physics, Sardar Patel University, Vallabh Vidyanagar, Gujarat, India
- Vivekanand P.G. College, Govind Guru Tribal University, Banswara, Rajasthan, India
| | - Urmila H Patel
- X-Ray Laboratory, Department of Physics, Sardar Patel University, Vallabh Vidyanagar, Gujarat, India
| | - R H Patel
- Department of Materials Science, Sardar Patel University, Vallabh Vidyanagar, Gujarat, India
| | - Bhupesh S Bhatt
- Department of Chemistry, Sardar Patel University, Vallabh Vidyanagar, Gujarat, India
| | - Sanjay Bhakhar
- X-Ray Laboratory, Department of Physics, Sardar Patel University, Vallabh Vidyanagar, Gujarat, India
| | - Nikhil Vekariya
- Department of Materials Science, Sardar Patel University, Vallabh Vidyanagar, Gujarat, India
| | - Jignesh Valand
- Department of Materials Science, Sardar Patel University, Vallabh Vidyanagar, Gujarat, India
| | - Parth Thakor
- Bapubhai Desaibhai Patel Institute of Paramedical Sciences, Charotar University of Science and Technology, Changa, India
| | - Anjali B Thakkar
- P. G. Department of Applied and Interdisciplinary Sciences (IICISST), Sardar Patel University, Vallabh Vidyanagar, Gujrat, India
- P. G. Department of Biosciences, Sardar Patel University, Bakrol, Gujarat, India
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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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An W, Wang B, Duan L, Giovanni C, Yu G. Emerging contaminants in the northwest area of the Tai Lake Basin, China: Spatial autocorrelation analysis for source apportionment and wastewater-based epidemiological analysis. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 865:161176. [PMID: 36581295 DOI: 10.1016/j.scitotenv.2022.161176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 12/20/2022] [Accepted: 12/20/2022] [Indexed: 06/17/2023]
Abstract
In the present study, 60 emerging contaminants (ECs) were detected from 88 target compounds in the district of Wujin, which is the northwest area of Tai Lake Basin, China. Among them, CF (caffeine), a type of PhAC (pharmaceutically active compound), was detected as the pollutant with the highest concentration. It was observed that the removal efficiencies of PFASs (per-/polyfluoroalkyl substances) in wastewater treatment plants were lower than those of pesticides; further, those of pesticides were lower than those of PhACs. Based on the spatial agglomeration estimated by the spatial autocorrelation model, the probable sources of 28 contaminants were identified. This model provided a new perspective that would help to clarify the location of sources with high accuracy. The point sources of 6 PFASs and 14 PhACs were successfully found; in contrast, the main source of pesticides was identified as an agricultural nonpoint source. Finally, the potential risks of the ECs were also assessed in this study, including their aquatic ecological risks and human exposure risks. It was concluded that pesticides generally had the highest ecological risk, followed by PFASs and PhACs. To evaluate the population risk of pesticides, the wastewater-based epidemiological model was extended to back-calculate the per capita pesticide consumption, which was 0.22 g d-1 (103capita)-1.
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Affiliation(s)
- Wenkai An
- School of Environment, Beijing Key Laboratory for Emerging Organic Contaminants Control, State Key Joint Laboratory of Environment Simulation and Pollution Control (SKLESPC), Tsinghua University, Beijing 100084, PR China
| | - Bin Wang
- School of Environment, Beijing Key Laboratory for Emerging Organic Contaminants Control, State Key Joint Laboratory of Environment Simulation and Pollution Control (SKLESPC), Tsinghua University, Beijing 100084, PR China; Research Institute for Environmental Innovation (Suzhou), Tsinghua, Suzhou 215163, PR China.
| | - Lei Duan
- School of Environment, Beijing Key Laboratory for Emerging Organic Contaminants Control, State Key Joint Laboratory of Environment Simulation and Pollution Control (SKLESPC), Tsinghua University, Beijing 100084, PR China
| | - Cagnetta Giovanni
- School of Environment, Beijing Key Laboratory for Emerging Organic Contaminants Control, State Key Joint Laboratory of Environment Simulation and Pollution Control (SKLESPC), Tsinghua University, Beijing 100084, PR China
| | - Gang Yu
- School of Environment, Beijing Key Laboratory for Emerging Organic Contaminants Control, State Key Joint Laboratory of Environment Simulation and Pollution Control (SKLESPC), Tsinghua University, Beijing 100084, PR China; Research Institute for Environmental Innovation (Suzhou), Tsinghua, Suzhou 215163, PR China
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