In the present study, we decorated chitosan (©) with Fe3O4 nanoparticles followed by cross-linking with GO to prepare Fe3O4 supported chitosan-graphene oxide composite (Fe3O4©-GO). Different properties of synthesized material were investigated by SEM, XRD, FTIR, TGA and EDX. Batch adsorption experiments were performed to remove toxic cationic and anionic dyes from industrial wastewater. To maximize removal efficiency of composite material, effect of pH (4-12), time (0-80min), Fe3O4©-GO dosage (2-10mg), initial dye concentration (2-30μgmL̄ (1)) and temperature (303, 313, and 323K) were studied. The uptake of dyes presented relatively fast adsorption kinetics with pseudo-second-order equation as the best fitting model. To understand the interaction of dye with adsorbent, Langmuir and Freundlich isotherm were applied. Thermodynamic studies were conducted to calculate the changes in free energy (ΔG(0)), enthalpy (ΔH(0)) and entropy (ΔS(0)). In view of practical application, the influence of ionic strength, recycling as well as investigations based on percent recoveries from spiked real water samples were also taken into account.
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http://dx.doi.org/10.1016/j.carbpol.2016.06.045 | DOI Listing |
Angew Chem Int Ed Engl
December 2024
Dalian Institute of Chemical Physics State Key Laboratory of Catalysis, Dalian National Laboratory For Clean Energy, Zhongshan Road 457, 116023, Dalian, CHINA.
The addition of a redox mediator as soluble catalyst into electrolyte can effectively overcome the bottlenecks of poor energy efficiency and limited cyclability for Li-O2 batteries caused by passivation of insulating discharge products and unfavorable byproducts. Herein we report a novel soluble catalyst of bifunctional imidazolyl iodide salt additive, 1,3-dimethylimidazole iodide (DMII), to successfully construct highly efficient and durable Li-O2 batteries. The anion I- can effectively promote the charge transport of Li2O2 and accelerate the redox kinetics of oxygen reduction/oxygen evolution reactions on the cathode side, thereby significantly decreasing the charge/discharge overpotential.
View Article and Find Full Text PDFInt J Rheum Dis
January 2025
Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China.
Background: Urate transporter 1 (URAT1) is a well-known therapeutic target for reducing urate levels in the treatment of hyperuricemia and gout. However, current pharmacological studies have failed to evaluate the efficacy of URAT1 inhibitors in non-primate animal models. We established a human URAT1 (hURAT1) transgenic knock-in (KI) mouse model to assess uricosuric agents' effectiveness and characterize URAT1-caused pathogenesis.
View Article and Find Full Text PDFAngew Chem Int Ed Engl
December 2024
Huazhong University of Science and Technology, School of Chemistry and Chemical Engineering, CHINA.
Porous organic polymers have shown great potential in photocatalytic CO2 reduction due to their unique tunable structure favoring gas adsorption and metal sites integration. However, efficient photocatalysis in porous polymers is greatly limited by the low surface reactivity and electron mobility of bulk structure. Herein, we incorporate TiO2 nanoparticles and Ni(II) sites into a layered cationic imidazolium polymer (IP), in which the imidazolium moieties and free anions can stabilize the key intermediates and enhance the reaction kinetics of CO2 reduction.
View Article and Find Full Text PDFPlant Foods Hum Nutr
December 2024
College of Food Science and Technology, Huazhong Agricultural University, No. 1, Shuzishan Road, Wuhan, 8430070, China.
This study aimed to investigate the protective effect of a novel capsaicinoid glucoside (CG) against HO-induced oxidative stress in HepG2 cells and elucidate its underlying molecular mechanism. CG treatment significantly reduced HO-induced cell mortality and attenuated the production of lactate dehydrogenase and malondialdehyde in a dose-dependent manner. Moreover, CG drastically reduced the ROS levels 18.
View Article and Find Full Text PDFSci Rep
December 2024
Department of Pharmaceutics, College of Pharmacy, University of Ha'il, Ha'il, 81442, Saudi Arabia.
This research article presents a thorough and all-encompassing examination of predictive models utilized in the estimation of viscosity for ionic liquid solutions. The study focuses on crucial input parameters, namely the type of cation, the type of anion, the temperature (measured in Kelvin), and the concentration of the ionic liquid (expressed in mol%). This study assesses three influential machine learning algorithms that are based on the Decision Tree methodology.
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