Comparison between linear and non-linear forms of pseudo-first-order and pseudo-second-order adsorption kinetic models for the removal of methylene blue by activated carbon

2009 ◽  
Vol 3 (3) ◽  
pp. 320-324 ◽  
Author(s):  
Junxiong Lin ◽  
Lan Wang
2020 ◽  
Vol 1 ◽  
pp. 100032
Author(s):  
Emmanuel D. Revellame ◽  
Dhan Lord Fortela ◽  
Wayne Sharp ◽  
Rafael Hernandez ◽  
Mark E. Zappi

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Hien Thi Dinh ◽  
Nam Trung Tran ◽  
Dai Xuan Trinh

In this work, the adsorptive removal of methylene blue and methyl orange by UiO-66-NO2 nanoparticles was studied. The influence of pH on the adsorption capacity was assessed. The kinetics of the adsorption process were investigated and compared with pseudo-first-order, pseudo-second-order, Elovich, and intraparticle models. The kinetics of the adsorption fits moderately with the pseudo-first-order, but perfectly fits with pseudo-second-order models, and has a very good fit with the Elovich and intraparticle models. The adsorption isotherms were measured and compared with the Langmuir and Freundlich models. The adsorption capacity of methyl orange (MO) on UiO-66-NO2 nanoparticles (142.9 mg/g) was over three times higher than that of methylene blue (MB) on the nanoparticles (41.7 mg/g). The discrepancy between these capacities was attributed to the presence of the -NO2 functional group, which caused a strong negative mesomeric effect in the metal-organic framework structure.


2019 ◽  
pp. 206-229
Author(s):  
Mallappa A. Mallappa A. Devania, Mallappa A. Devania ◽  
Basudeb Munshi

The removal of heavy metals from wastewater has become crucial to meet safe discharge standards. Development of more economic process has been strived owing to high cost of adsorbents. Thus, biosorption process has become the area of interest to researchers and engineers. The present study has carried out the transient removal of heavy metals from wastewater by both physically treated and chemically modified Cajanus cajan (Pigeon pea) husk (CCH) as novel biosorbents. Work includes five different models such as first order, second order, nth order, first order reversible and second order reversible under the heading of prediction of transient concentration of metal in the solution are used, and under the heading of prediction of transient metal uptake capacity; fractional power, pseudo first order, pseudo second order, second order reversible, Elovich, intra-particle diffusion and film diffusion models are used to analyse the kinetic data. For a metal at any particular initial concentration the best kinetic model with the least RMSE is identified. Pictorial comparison between experimental and pseudo second order and pseudo first order model predictive data of Cd(II) and Cu(II) transient biosorption, respectively onto CCH are illustrated. The trend of the results shows a successful prediction capability of all the kinetic models used in the present work. According to RMSE data, it can be concluded that the best kinetic models are pseudo second order for Cd(II) and pseudo first order for Cu(II). It has been found that the required equilibrium time is always less for the chemically activated than the physically activated sorbent. At 100 mg/L initial metal concentration, pseudo-first-order model has been identified as the best kinetic model for the transient Cu(II) and the best kinetic model for fitting the transient sorption of Cd(II) on CCH is pseudo-second-order. At initial metal concentration of 150 mg/L, initial biosorption rate of 9.7038 for Cd(II) on CCH(N) is greater than 1.4553 for Cu(II) on CCH(N). These indicate that Cd(II) undergoes faster adsorption rate than Cu(II) onto CCH.


2010 ◽  
Vol 7 (s1) ◽  
pp. S511-S519 ◽  
Author(s):  
S. Senthilkumaar ◽  
S. K. Krishna ◽  
P. Kalaamanic ◽  
C. V. Subburamaan ◽  
N. Ganapathy Subramaniam ◽  
...  

Chemically activated “Waste” Jute Fiber carbon has been effectively used for the removal of five organophosphorous pesticides (malathion, monocrotophos, methylparathion, phosphamidon and dimethoate) from aqueous solutions. The prepared activated jute fiber carbon was characterized by using Elemental analyzer and proximate analysis methods. The adsorption equilibrium was examined at 28ºC. Three different kinetic models, the pseudo first order, pseudo second order and Elovich kinetic models were selected to analyses the adsorption process. To compare the fitness of pseudo first order and pseudo second order, sum of the squares of the errors and correlation coefficient, r2values were calculated. The Elovich model was used to confirm the chemisorptions.


2019 ◽  
Vol 3 (1) ◽  
pp. 34
Author(s):  
Yuni Kurniati ◽  
Okky Putri Prastuti ◽  
Eka Lutfi Septiani

Indonesia adalah negara berkembang dengan ribuan perusahaan di sektor industri yang menghasilkan limbah. Pisang adalah produk umum yang paling dikenal di masyarakat. Bagian pisang seperti kulitnya belum digunakan secara optimal namun dapat dikembangkan menjadi karbon aktif. Penelitian ini bertujuan memanfaatkan limbah kulit pisang sebagai adsorben untuk menghilangkan limbah pewarna metil biru pada industri tekstil. Pada umumnya limbah industri tekstil saat ini banyak mengandung pewarna. Adsorben yang digunakan untuk mengurangi kadar pewarna dalam limbah perlu dikembangkan. Kapasitas adsorpsi limbah kulit pisang dalam penelitian diamati, termasuk jumlah adsorben yang harus ditentukan dan konsentrasi limbah untuk menghilangkan pewarna tekstil. Sebelum digunakan sebagai adsorben, karbon aktif  limbah kulit pisang harus diaktivasi menggunakan 0,1 N dan 0,5 N larutan NaOH. Larutan metil biru dibuat dalam berbagai konsentrasi untuk menentukan kurva kalibrasi standar menggunakan spektrofotometer UV-Vis. Karakterisasi yang dilakukan dalam penelitian ini adalah Scanning Electron Microscopy (SEM) untuk mengetahui morfologi partikel karbon aktif. Hasilnya menunjukkan bahwa karbon aktif limbah kulit pisang akan menjadi alternatif untuk menghilangkan metil biru dengan proses adsorpsi dengan memiliki daya adsorbsi rata-rata sebesar 14,12 %.  Kinetika adsorpsi dari penelitian ini menggunakan model pseudo orde satu yaitu persamaan Lagergren dan pseudo-orde ke dua yang dikembangkan oleh Ho dan McKay yang menghasilkan konstanta adsorpsi k1 dari pseudo-ordesatu dalam larutan limbah tekstil dengan perbandingan konsentrasi antara limbah tekstil dengan aquades sebesar 3 : 7  (v/v) dengan aktivasi larutan 0,1 dan 0,5 N larutan NaOH adalah 0,0066 dan 0,0033 min-1 sedangkan untuk model hasil pseudo-orde ke dua k2 dengan aktivasi larutan 0,1 dan 0,5 N larutan NaOH adalah 1,8172 dan 1,2539 min-1.Indonesia is a developing country that has thousands of companies in the industrial sector that generally produce waste. Banana is the general product that mostly known in society. The other part of banana only as a waste product, such as banana peel that have not used optimally yet meanwhile it can be developed to be activated carbon. This research aims to use banana peels as an adsorbent for removing methylene blue.  In general, textile industry waste currently contains many dyes. Adsorbents used to reduce dye levels in waste need to be developed. The adsorption capacity of banana peel adsorption is observed, including the dose of adsorbent that must be applied and the concentration of waste for removal of textile dyes. Before being used as an adosorbent, the activated carbon of banana peel must be activated by using 0.1 N and 0.5 NaOH solution. Methyl blue solutions were made in various concentrations to determine standard calibration curves using a UV-Vis spectrophotometer. The characterization was used to support this study such as Scanning Electron Microscopy (SEM) analysis to find out the morphology of activated carbon particles. The result indicate that the banana peel activated carbon would be an alternative for the removal of methylene blue by adsorption process with  adsorption capacity as 14.12%. The adsorption kinetics of this study used model of pseudo-first order by Lagergren equation and pseudo-second order developed by Ho and Mc. Kay that result adsorption constant k1 of pseudo-first order in 3:7  (v/v) textile waste and aquadest by activation in 0.1 and 0.5 NaOH solution were 0.0066 dan 0,0033 min-1, while the model of pseudo-second order results k2 by activation in 0.1 and 0.5 NaOH solution were 1.8172 dan 1.2539 min-1.


2020 ◽  
Vol 10 (3) ◽  
pp. 5478-5483

This work aims to propose an activated carbon derived from natural material for the removal of silver nanoparticles (AgNPs) from water environment. The activated carbon was derived from coconut shells via chemical approach. For the description of kinetic mechanism, several kinetic adsorption models were employed. They are the pseudo-first-order, pseudo-second-order, Power, Avrami, mixed 1,2-order, fractal-like pseudo-first-order, and fractal-like pseudo-second-order. This investigation was carried out using a batch experiment. Evaluation of the models was carried out using six statistical indicators. This investigation exhibited that the proposed activated carbon had capability to remove AgNPs from water environment. Kinetic adsorption behavior can be described well using the mixed 1,2-order compared to other employed models. In general, this study successfully proposed activated carbon derived from natural resource for the removal of AgNPs from the environment. This study is useful for the development of natural adsorbent materials for various pollutants removal.


2012 ◽  
Vol 14 (4) ◽  
pp. 88-94 ◽  
Author(s):  
R.P. Suresh Jeyakumar ◽  
V. Chandrasekaran

Abstract In this work, the efficiency of Ulva fasciata sp. activated carbons (CCUC, SCUC and SSUC) and commercially activated carbon (CAC) were studied for the removal of Cu (II) ions from synthetic wastewater. Batch adsorption experiments were carried out as a function of pH, contact time, initial copper concentration and adsorbent dose. The percentage adsorption of copper by CCUC, SSUC, SCUC and CAC are 88.47%, 97.53%, 95.78% and 77.42% respectively. Adsorption data were fitted with the Langmuir, Freundlich and Temkin models. Two kinetic models pseudo first order and the pseudo second order were selected to interpret the adsorption data.


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