2017
DOI: 10.14233/ajchem.2017.20264
|View full text |Cite
|
Sign up to set email alerts
|

Isotherm Study of Nickel(II) Adsorption from Aqueous Solution Using Thermally Treated Rice Husk

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
4
0
1

Year Published

2018
2018
2022
2022

Publication Types

Select...
6
1

Relationship

0
7

Authors

Journals

citations
Cited by 9 publications
(5 citation statements)
references
References 0 publications
0
4
0
1
Order By: Relevance
“…From a mathematical point of view, the isotherm that best adjusts the experimental data is Freundlich's with R 2 =0.99, which means that the adsorption mechanism is controlled by chemadsorption according to Gupta and Balomajumder 35 and Sepehr, et al 36 .This result differs from that reported in previous studies by Tejada-Tovar et al 16 ,Uthra and Kadirvelu 37 , and Farhan et al 38 , who determined that the model that best fits nickel adsorption is Langmuir. From the physical point of view of the system, Freundlich's model is also the one that best predicts the behavior of the bagasse palm-nickel adsorption system, since the concentration being worked on is sufficiently high to favour the formation of several layers of adsorbed material, which is complemented by the analysis of biomass composition (Table 5), since the presence of different functional groups implies different adsorption energy in the active sites, since they do not behave in the same way to the pH and temperature conditions worked.…”
Section: Balance Modelingmentioning
confidence: 78%
“…From a mathematical point of view, the isotherm that best adjusts the experimental data is Freundlich's with R 2 =0.99, which means that the adsorption mechanism is controlled by chemadsorption according to Gupta and Balomajumder 35 and Sepehr, et al 36 .This result differs from that reported in previous studies by Tejada-Tovar et al 16 ,Uthra and Kadirvelu 37 , and Farhan et al 38 , who determined that the model that best fits nickel adsorption is Langmuir. From the physical point of view of the system, Freundlich's model is also the one that best predicts the behavior of the bagasse palm-nickel adsorption system, since the concentration being worked on is sufficiently high to favour the formation of several layers of adsorbed material, which is complemented by the analysis of biomass composition (Table 5), since the presence of different functional groups implies different adsorption energy in the active sites, since they do not behave in the same way to the pH and temperature conditions worked.…”
Section: Balance Modelingmentioning
confidence: 78%
“…( 2 = 0.814) indicate that the adsorption process is favorable and have a very good fit for Langmuir isotherm. In figure 5, the adsorption intensity 1⁄ was 2.02 which is greater 1, an indication of unfavorable adsorption since (0 < 1 < 1 ⁄ ) is for favorable adsorption (Ahmad Farhan, 2016) even though the Freundlich model showed a better fit with 2 = 0.972 against 2 = 0.814 for the Langmuir model. An = 0.152, = 0.285 and 2 = 0.994, 2 = 0.928 was obtained by (Rodriguez et al, 2010) for untreated and treated rice husk respectively.…”
Section: Resultsmentioning
confidence: 94%
“…La tendencia al aumento de la capacidad de adsorción con la concentración inicial del analito, se encontró también al estudiar la adsorción de níquel (II) sobre carbón activado obtenido de bagazo de caña de azúcar y obteniendo que aumentó junto con el aumento en la concentración inicial de Ni (II) de 50 a 250 ppm [18]. También al usar carbón activado a partir de cáscara de arroz se obtuvo un aumento en la capacidad de adsorción de Ni (II) de 0,65 a 1,14 mg/g al aumentar la concentración inicial de 30 a 150 mg/L [48]. Por su parte Amin y colaboradores [49], al evaluar carbones activados a partir de plátano y piña obtuvieron que la capacidad de adsorción incrementó linealmente respecto al aumento a la concentración inicial del ion, como el obtenido en el presente estudio y mostrado en la Figura 3.…”
Section: Estudio De Efectos De Las Variables Sobre La Capacidad De Adsorciónunclassified