Artificial neural network modeling for Congo red adsorption on microwave-synthesized akaganeite nanoparticles: optimization, kinetics, mechanism, and thermodynamics

Nguyen, Vinh Dinh; Nguyen, Hoa Thanh; Vranová, Valerie; Nguyen, Linh T.; Bui, Quy M.; Khieu, Tam T.

doi:10.1007/s11356-020-10633-2

Cited by 22 publications

(7 citation statements)

References 55 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Akaganeite nanoparticles (average size 50 nm) were synthesized by using microwave, and use to remove Congo red from an aqueous phase [57]. Experimental results showed that the adsorption kinetics fitted the non-linear pseudo-second-order equation, whereas adsorption equilibrium values, at various temperatures, generally best fitted to non-linear Langmuir isotherm, being the maximum adsorption capacity of more than 150 mg/g at pH 5.5..…”

Section: Table 4 Performance Of the Adsorbent At Various Activation And Methods Of Activationmentioning

confidence: 98%

Organic Dyes Versus Adsorption Processing

López

2021

Preprint

View full text Add to dashboard Cite

Even in the first quarter of XXI century, the presence of organic dyes in wastewaters is a normal occurrence in a series of countries, and being these compounds toxics, their removal from these waters is of a necessity. Among the separation technologies, adsorption processing appeared as one of the most widely used to reach this goal. The present work reviewed the most recent approaches (first half of 2021 year) about the use of a variety of adsorbents on the removal of, also, a variety of organic dyes of different nature.

show abstract

Section: Table 4 Performance Of the Adsorbent At Various Activation And Methods Of Activationmentioning

confidence: 98%

Organic Dyes Versus Adsorption Processing

López

2021

Preprint

View full text Add to dashboard Cite

show abstract

“…Akaganeite nanoparticles (average size 50 nm) were synthesized by using microwaves to remove Congo red from an aqueous phase [ 23 ]. Experimental results showed that the adsorption kinetics fitted the non-linear pseudo-second-order equation, whereas adsorption equilibrium values, at various temperatures, generally best-fitted the non-linear Langmuir isotherm, with the maximum adsorption capacity of more than 150 mg/g at pH 5.5.…”

Section: Adsorbents For the Removal Of Anionic Dyes From Watersmentioning

confidence: 99%

Organic Dyes versus Adsorption Processing

López

2021

Molecules

View full text Add to dashboard Cite

Even in the first quarter of the XXI century, the presence of organic dyes in wastewaters was a normal occurrence in a series of countries. As these compounds are toxic, their removal from these waters is a necessity. Among the separation technologies, adsorption processing appeared as one of the most widely used to reach this goal. The present work reviewed the most recent approaches (first half of the 2021 year) regarding the use of a variety of adsorbents in the removal of a variety of organic dyes of different natures.

show abstract

“…Photodegradation (Sun et al, 2009), coagulation and flocculation (Hassaan, 2017), ozonation (Khadhraoui et al, 2009), and adsorption (Zhang et al, 2015;Munagapati and Kim, 2017) represent diverse methods that have been investigated and implemented for the elimination of CR from wastewater (Nguyen et al, 2021). Among these approaches, adsorption stands out as a particularly prominent method, garnering extensive research attention due to the abundance and versatility of raw materials and the notable efficiency of this technique (Ali et al, 2018a).…”

Section: Introductionmentioning

confidence: 99%

The Use of Artificial Neural Network for Modeling Adsorption of Congo Red Onto Activated Hazelnut Shell

Mesutoğlu

2023

Preprint

View full text Add to dashboard Cite

Activated hazelnut shell (HSAC), an organic waste, was utilized for the adsorptive removal of Congo Red (CR) dye from aqueous solutions, and a modeling study was conducted using Artificial Neural Networks (ANNs). For the adsorption study, pH (3-9), initial CR concentration (5-400 mg/L), contact time (2-240 min.), and adsorbent quantity (0.5-10 g/L) parameters were investigated. Conducted in a batch system, the adsorption experiments resulted in a notable removal efficiency of 87% under optimal conditions. The kinetic data for hazelnut shell activated carbon (HSAC) removal of CR were most accurately represented by the pseudo-second-order kinetic model. Furthermore, the equilibrium data demonstrated a strong agreement with the Freundlich model. The maximum adsorption capacity of HSAC for CR was determined to be 34.8 mg/g. Considering the various experimental parameters influencing CR adsorption, an Artificial Neural Network (ANN) model was constructed. The analysis of the ANN model revealed a correlation of 98%, indicating that the output parameter could be reliably predicted. Thus, it was concluded that ANN could be employed for the removal of CR from water using HSAC.

show abstract

Artificial neural network modeling for Congo red adsorption on microwave-synthesized akaganeite nanoparticles: optimization, kinetics, mechanism, and thermodynamics

Cited by 22 publications

References 55 publications

Organic Dyes Versus Adsorption Processing

Organic Dyes Versus Adsorption Processing

Organic Dyes versus Adsorption Processing

The Use of Artificial Neural Network for Modeling Adsorption of Congo Red Onto Activated Hazelnut Shell

Contact Info

Product

Resources

About