OICC Press Journal of Nanostructure in Chemistry 2193-8865 8 1 (March 2018) 2017 12 19 One-pot synthesis of S-doped Fe2O3/C magnetic nanocomposite as an adsorbent for anionic dye removal: equilibrium and kinetic studies 10.1007/s40097-017-0251-4 EN Hossein Khoshsang Research Laboratory of Real Samples Analysis, Faculty of Chemistry, Iran University of Science and Technology, Tehran, 1684613114, IR Ali Ghaffarinejad Research Laboratory of Real Samples Analysis, Faculty of Chemistry, Iran University of Science and Technology, Tehran, 1684613114, IR Electroanalytical Chemistry Research Center, Iran University of Science and Technology, Tehran, 1684613114, IR Hojjat Kazemi Research Institute of Petroleum Industry, Tehran, 1485733111, IR Yuan Wang Particles and Catalysis Research Group, School of Chemical Engineering, The University of New South Wales, Sydney, NSW, 2052, AU Hamidreza Arandiyan Particles and Catalysis Research Group, School of Chemical Engineering, The University of New South Wales, Sydney, NSW, 2052, AU Journal Article 2017 12 19 Abstract Novel S-doped Fe 2 O 3 /C nanocomposite was synthesized via a one-pot hydrothermal method and was used for the first time as an efficient adsorbent for Congo red dye (CR) removal from water solution. The obtained catalyst was characterized by various methods including Fourier transform infrared spectroscopy, energy dispersive X-ray spectrometry, vibration sample magnetometry, X-ray diffraction and field emission scanning electron microscopy. To improve the adsorption performance, some important parameters affecting dye removal were optimized such as adsorbent dosage, contact time, solution pH, initial dye concentration and ionic strength. At the optimum conditions, the maximum capacity of adsorption for this nanocomposite was 270.2 mg g −1 , which is better than other magnetic adsorbents for CR removal. The results of adsorption isotherm were matched with Langmuir model. Kinetic tests show that adsorption experimental data were best fitted by pseudo-first-order model. Graphical abstract