Environmental Pollution, Journal Year: 2022, Volume and Issue: 316, P. 120642 - 120642
Published: Nov. 9, 2022
Language: Английский
Environmental Pollution, Journal Year: 2022, Volume and Issue: 316, P. 120642 - 120642
Published: Nov. 9, 2022
Language: Английский
Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 338, P. 117680 - 117680
Published: April 1, 2023
Language: Английский
Citations
44Environmental Sciences Europe, Journal Year: 2024, Volume and Issue: 36(1)
Published: Feb. 18, 2024
Abstract The present study aimed to investigate the decolorization of various commercial dyes by azoreductases (AzrBmH21, AzrBmH22/3, and AzrBmH24/5) through bioinformatics means, comprising molecular docking, dynamics simulation, mechanics Poisson–Boltzmann surface area (MM-PBSA). Therefore, four dyes, namely acid orange 7, cresol red, methylene blue, malachite green, were selected as potential targets for degradation above said derived from Bacillus megaterium H2. prediction ligand binding or catalytic sites AzrBmH21, AzrBmH24/5 performed using a machine learning algorithm based on Prank Web DeepSite chemoinformatic tool. This analysis revealed that several amino acids AzrBmH2 interacted with tested indicating presence distinct ligand-binding AzrBmH2-dye complexes. Likewise, affinity ranged − 9.4 5.5 kcal/mol, 9.2 5.4 9.0 respectively, each complex stabilized at minimum 0–5 hydrogen bonds. MD simulations stable complexes RMSD RMSF values ranging 0.15 0.42 nm 0.05 0.48 nm, Rg between 1.75 1.88 nm. MM-PBSA calculations indicated AzrBmH2–dye complexes, except AzrBmH2–malachite exhibited lowest energy (− 191.05 ± 7.08 314.19 6.88 kcal/mol), prevalent hydrophobic interactions 268.25 12.25 418.92 29.45 kcal/mol) van der Waals forces. this was able highlight role enzymes, specifically H2, in predicting dyes. These findings could contribute our understanding azoreductases’ mechanisms bioremediation biotechnological applications.
Language: Английский
Citations
21Environmental Research, Journal Year: 2024, Volume and Issue: 261, P. 119722 - 119722
Published: Aug. 2, 2024
Language: Английский
Citations
19Chemosphere, Journal Year: 2024, Volume and Issue: 362, P. 142433 - 142433
Published: May 29, 2024
Language: Английский
Citations
17Water, Journal Year: 2022, Volume and Issue: 15(1), P. 70 - 70
Published: Dec. 25, 2022
Pesticides have been identified as major contaminants of various waterways. Being classified potential endocrine disrupting compounds, pesticides in aqueous system are highly hazardous to aquatic organisms and the ecosystem. The treatment pesticide-containing wastewater can be performed through several means, but a strategy which emphasizes both efficiency sustainability is necessity current time. In this context, bioremediation has increasingly promoted an alternative technique for remediation diverse pollutants. Particularly, involves utilization microalgae removal or conversion harmless less harmful compounds becoming trend. Exploiting tool presents multiple advantages over conventional technologies, include opportunity simultaneously treat nutrient recovery cultivation well formation toxic sludge. This review discusses roles mitigating pesticide pollution issue, while offering from sources. Based on laboratory studies, use promising rationalized. establishment more pilot scale studies encouraged further facilitate implementation approach practical application.
Language: Английский
Citations
54Environmental Research, Journal Year: 2022, Volume and Issue: 214, P. 114011 - 114011
Published: Aug. 17, 2022
Language: Английский
Citations
43Microbiological Research, Journal Year: 2022, Volume and Issue: 261, P. 127081 - 127081
Published: May 27, 2022
Language: Английский
Citations
41Ecotoxicology and Environmental Safety, Journal Year: 2023, Volume and Issue: 252, P. 114628 - 114628
Published: Feb. 10, 2023
Ongoing and extensive use of pesticides negatively impact the environment human health. Microbe-based remediation bears importance as it is an eco-friendly cost-effective technique. The present study investigated chlorpyrifos (CHL) glyphosate (GLY) degrading potential Bacillus cereus AKAD 3-1, isolated from soybean rhizosphere. Optimization validation different process variables were carried out by response surface methodology (RSM) artificial neural network (ANN). Critical parameters which affect degradation are initial pesticide concentration, pH, inoculum size. At optimum conditions, bacterial strain demonstrated 94.52% 83.58% removal glyphosate, respectively. Both Central-composite design (CCD-RSM) ANN approaches proved to perform well in modeling optimizing growth conditions. ANN-GA model resulted R2 ≥ 0.99 for while case RSM, obtained value was 0.96 0.95, Results indicated that significantly (p < 0.05) biodegradation. Moreover, predicted RSM had a "lack fit p-value" "0.8849" "0.2502" GC-MS analysis revealed first converted into 3,5,6-trichloro pyridin-2-ol & O, O-diethyl O-hydrogen phosphorothiate. Later, these intermediate metabolites broken completely mineralized non-toxic by-products. Similarly, 2-(methylamino) acetic acid amino-oxyphosphonic acid, further without any toxic Taken together, results this clarify biodegradation pathways highlights promising B. 3-1 bioremediation glyphosate-polluted environments.
Language: Английский
Citations
33Journal of the Taiwan Institute of Chemical Engineers, Journal Year: 2023, Volume and Issue: 144, P. 104744 - 104744
Published: Feb. 16, 2023
Language: Английский
Citations
25Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 354, P. 120326 - 120326
Published: Feb. 21, 2024
Language: Английский
Citations
16