Adsorption of Congo red from aqueous solution onto KOH-activated biochar produced via pyrolysis of pine cone and modeling of the process using artificial neural network

Kaya, Nihan; Uzun, Zeynep Yıldız; Altuncan, Ceren; Uzun, Harun

doi:10.1007/s13399-021-01856-5

Cited by 17 publications

(5 citation statements)

References 63 publications

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“…6. Moreover, these values are like the correlation results of many other studies that have used and succeeded with ANN (Dolatabadi et al, 2018;Kaya et al, 2022;Al-Musawi et al, 2023;Ilavenil et al, 2023).…”

Section: Ann Modelingsupporting

confidence: 79%

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

Mesutoğlu

2023

Preprint

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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.

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Section: Ann Modelingsupporting

confidence: 79%

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

Mesutoğlu

2023

Preprint

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“…Furthermore, the effectiveness of the adsorption performance increases with higher values of K F . It should be noted that the Freundlich adsorption isotherm model applies to heterogeneous surfaces [25]. The Langmuir isotherm model was utilized to determine the maximum adsorption capacity (Q max ) of AC-Al for RB5, which was found to be 135.23 mg/g.…”

Section: Adsorption Isothermsmentioning

confidence: 99%

“…This has led researchers to explore alternative sources of activated carbon that offer cost-effective and safe dye removal from wastewater while maintaining the advantages of the process [3,13]. As a result, several studies have produced activated carbon from various low-cost materials, such as agricultural waste and by-products (e.g., seed shells [19] like coconut shells [20,21] and rubber seed shell [22], husks [23], nuts [24], roots [25], fruit peels [26], coffee waste [27], fishes [28], and plants [29]) and bacteria [8]. Hence, there is a need to develop advanced and composite activated carbon materials that exhibit superior dye removal performance and efficiency.…”

Section: Introductionmentioning

confidence: 99%

Composite Activated Carbon Modified with AlCl3 for the Effective Removal of Reactive Black 5 Dye from Wastewaters

Tsoutsa,

Tolkou,

Katsoyiannis

et al. 2023

J. Compos. Sci.

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Many industries use huge amounts of synthetic dyes which may release into the wastewater in dyeing processes causing serious damage to aquatic life as they are recalcitrant, nonbiodegradable, stable to oxidizing agents, and toxic. Adsorption on activated carbon has been found to be a very efficient treatment method. In this work, a new adsorbent material composed of activated carbon and aluminum chloride (AC-Al) was prepared for the removal of a commercial anionic and anthraquinonic reactive dye, i.e., Reactive Black 5 (RB5) under various experimental conditions. Several parameters, such as the adsorbent’s dosage, initial RB5 concentration, pH, and contact time, were studied in order to determine the feasibility of AC-Al. According to the results, it was found that there was an increase in RB5 removal as the adsorbent’s dosage increased, especially, in pH 2 ± 0.1, where the removal rate increased, and reaching 100% by 1.0 g/L of AC-Al. Freundlich isotherm and pseudo-second-order kinetic models adequately fit the experimental data, indicating that favorable and heterogeneous adsorption occurred, closer to chemisorption. According to thermodynamics, it was found that the adsorption procedure was endothermic in nature (∆H0 = 62.621 kJ/mol) and spontaneous (∆G0 < 0), and according to the positive value of ∆S0 0.0293 (kJ/mol∙K), there is an increase in random interaction between solid and liquid interfaces. Finally, the AC-Al adsorbent was successfully regenerated and reused for four cycles.

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“…Nevertheless, adsorption has demonstrated some success in the removal of dyes from aqueous solutions, and it is a technically feasible process as well [12,13]. Numerous studies have investigated the removal of dyes from aqueous solutions using a variety of biochars derived from agricultural by-products [13][14][15][16][17][18]. Biochar is an ideal adsorbent that can be developed from biomass through low-pyrolysis processes to adsorb dyes easily, sustainably, and in an environmentally friendly way [18].…”

Section: Introductionmentioning

confidence: 99%

Sustainable Banana-Waste-Derived Biosorbent for Congo Red Removal from Aqueous Solutions: Kinetics, Equilibrium, and Breakthrough Studies

Daffalla,

Taha,

Da’na

et al. 2024

Water

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This study investigates the adsorption of Congo red (CR) dye from wastewater using banana peel biochar (BPBC) in both batch and fixed-bed column modes. BPBC was characterized using FTIR, SEM, XRD, TGA, and BET analysis, revealing a predominantly mesoporous structure with a surface area of 9.65 m2/g. Batch adsorption experiments evaluated the effectiveness of BPBC in removing CR, investigating the influence of the BPBC dosage, initial CR concentration, and solution pH. Results showed optimal CR removal at pH levels below 4, suggesting a favorable electrostatic interaction between the adsorbent and the dye. Furthermore, a pseudo-first-order kinetic model best described the adsorption process. The Freundlich isotherm provided a better fit compared to the Langmuir and Dubinin–Radushkevich (D-R) models, implying a heterogeneous adsorption surface. The calculated maximum adsorption capacity (Qm) from the Langmuir model was 35.46 mg/g. To assess continuous operation, breakthrough curves were obtained in fixed-bed column experiments with varying bed heights (1–3.6 cm). The results demonstrated efficient CR removal by BPBC, highlighting its potential for wastewater treatment. Finally, this study explored the feasibility of BPBC regeneration and reuse through four adsorption–desorption cycles.

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Adsorption of Congo red from aqueous solution onto KOH-activated biochar produced via pyrolysis of pine cone and modeling of the process using artificial neural network

Cited by 17 publications

References 63 publications

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

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

Composite Activated Carbon Modified with AlCl3 for the Effective Removal of Reactive Black 5 Dye from Wastewaters

Sustainable Banana-Waste-Derived Biosorbent for Congo Red Removal from Aqueous Solutions: Kinetics, Equilibrium, and Breakthrough Studies

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