Removal of amoxicillin from water by adsorption onto activated carbon in batch process and fixed bed column: Kinetics, isotherms, experimental design and breakthrough curves modelling

2017 ◽  
Vol 161 ◽  
pp. 947-956 ◽  
Author(s):  
Marcela Andrea Espina de Franco ◽  
Cassandra Bonfante de Carvalho ◽  
Mariana Marques Bonetto ◽  
Rafael de Pelegrini Soares ◽  
Liliana Amaral Féris
2018 ◽  
Vol 192 ◽  
pp. 03037 ◽  
Author(s):  
Songkiat Roddaeng ◽  
Pongjet Promvonge ◽  
Rewadee Anuwattana

An experimental study on hydrogen sulphide (H2S) adsorption behaviours using amine-impregnated solid adsorbent (GAC/PEI) was carried out for H2S concentration in the range of 200 and 400 ppm. The dynamic adsorptions of GAC and modified GAC (2.0 and 1000 g/L PEI) in a fixed-bed column were investigated by determining the breakthrough curves and adsorption capacities of various adsorbents. The adsorbent exhibits an excellent adsorption capacity of 106.87 and 231.45 mgH2S/g-adsorbent for 200 ppm and 400 ppm H2S, respectively. The H2S breakthrough capacity is found to relate to the surface adsorption and chemical adsorption.


2018 ◽  
Vol 181 ◽  
pp. 145-154 ◽  
Author(s):  
Marcela Andrea Espina de Franco ◽  
Cassandra Bonfante de Carvalho ◽  
Mariana Marques Bonetto ◽  
Rafael de Pelegrini Soares ◽  
Liliana Amaral Féris

2018 ◽  
Vol 7 ◽  
pp. 48-55 ◽  
Author(s):  
Mahe Talat ◽  
Sweta Mohan ◽  
Viney Dixit ◽  
Devendra Kumar Singh ◽  
Syed Hadi Hasan ◽  
...  

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Shazia Perveen ◽  
Raziya Nadeem ◽  
Shaukat Ali ◽  
Yasir Jamil

Abstract Biochar caged zirconium ferrite (BC-ZrFe2O5) nanocomposites were fabricated and their adsorption capacity for Reactive Blue 19 (RB19) dye was evaluated in a fixed-bed column and batch sorption mode. The adsorption of dye onto BC-ZrFe2O5 NCs followed pseudo-second-order kinetics (R 2 = 0.998) and among isotherms, the experimental data was best fitted to Sips model as compared to Freundlich and Langmuir isotherms models. The influence of flow-rate (3–5 mL min−1), inlet RB19 dye concentration (20–100 mg L−1) and quantity of BC-ZrFe2O5 NCs (0.5–1.5 g) on fixed-bed sorption was elucidated by Box-Behnken experimental design. The saturation times (C t /C o  = 0.95) and breakthrough (C t /C o  = 0.05) were higher at lower flow-rates and higher dose of BC-ZrFe2O5 NCs. The saturation times decreased, but breakthrough was increased with the initial RB19 dye concentration. The treated volume was higher at low sorbent dose and influent concentration. Fractional bed utilization (FBU) increased with RB19 dye concentration and flow rates at low dose of BC-ZrFe2O5 NCs. Yan model was fitted best to breakthrough curves data as compared to Bohart-Adams and Thomas models. Results revealed that BC-ZrFe2O5 nanocomposite has promising adsorption efficiency and could be used for the adsorption of dyes from textile effluents.


2020 ◽  
Vol 81 (10) ◽  
pp. 2109-2126 ◽  
Author(s):  
Seyed Omid Ahmadinejad ◽  
Seyed Taghi Omid Naeeni ◽  
Zahra Akbari ◽  
Sara Nazif

Abstract One of the major pollutants in leachate is phenol. Due to safety and environmental problems, removal of phenol from leachate is essential. Most of the adsorption studies have been conducted in batch systems. Practically, large-scale adsorption is carried out in continuous systems. In this research, the adsorption method has been used for phenol removal from leachate by using walnut shell activated carbon (WSA) and coconut shell activated carbon (CSA) as adsorbents in a fixed-bed column. The effect of adsorbent bed depth, influent phenol concentration and type of adsorbent on adsorption was explored. By increasing the depth of the adsorbent bed in the column, phenol removal efficiency and saturation time increase significantly. Also, by increasing the influent concentration, saturation time of the column decreases. To predict the column performance and describe the breakthrough curve, three kinetic models of Yon-Nelson, Adams-Bohart and Thomas were applied. The results of the experiments indicate that there is a good match between the results of the experiment and the predicted results of the models.


2021 ◽  
Vol 221 ◽  
pp. 139-151
Author(s):  
Omar S.A. Al-Khazrajy ◽  
Salam A. Mohammed ◽  
Omaimah Al-Musallami ◽  
Zahour Al-Rawahi ◽  
Emad Yousif

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