İstilacı Centaurea Solstitialis Bitkisi Kullanılarak Sulu Çözeltilerden Malahit Yeşil Boya Giderimi ve Tepki Yüzey Yöntemi ile Optimizasyon: Kinetik, İzoterm ve Termodinamik Çalışma

Abstract

Invasive plants reduce the yield by inhibiting the development of agricultural products. In this study, invasive (CS) plant which is agricultural waste was used as adsorbent for removal of Malachite Green (MG) from aqueous solution. The adsorbent-adsorbate relationship was examined by the spectrophotometric method and Fourier transform infrared (FTIR). The surface morphology was determined by scanning electron microscope (SEM). CS surface area was measured by Brunauer, the Emmett and Teller (BET) analysis. The experiments were designed and modeled by RSM. The correlation factor of the developed model was 0.984. The capacity of 90.816 mg.g-1 was achieved when MG solution with concentration of 312.5 mg.L-1 was adsorbed onto 0.325 g CS for 75 min at a pH of 7.5. In this work the shaking velocity and the adsorbent size were 150 rpm and 30 mesh respectively. Langmuir, Freundlich, Temkin, and Dubinin-Radushkevich (D-R) isotherms were studied. Temkin isotherm had the highest R 2 of 0.997. The kinetics models of the adsorption process were investigated and fitted with pseudo-second-order kinetic (R 2 = 0.9982). The intraparticle diffusion model reflected the involved two steps; the first comprehended the boundary diffusion layer, while the second introduced the intraparticle diffusion effects. The adsorption was found to be endothermic with a Gibbs free energy of-4.47 KJ.mol-1. It was noted that the adsorption process was irreversible with a max percentage of desorption process of 2.16%. Column experiments were conducted to realize the adsorption process. The efficiency of the column reached 99.5% after 40 min and stilled constant. As a result, CS has shown a potential for MG removal from aqueous solution.

Optimization of the electrochemical oxidation of textile wastewater by graphite electrodes by response surface methodology and artificial neural network

“…According to Neill et al (1999), a large amount of water (125-250) L is required for 1 kg of the finished product (Neill et al 1999). Thus the textile industry produces enormous wastewater quantities with dyestuff, surfactants, and additives, which have dangerous effects on the environment and humans (Aravind et al 2016;Saleh et al 2019a).…”