Analysis and modeling of multicomponent sorption of heavy metals on chicken feathers using Taguchi’s experimental designs and artificial neural networks

Reynel-Ávila, Hilda Elizabeth; Bonilla-Petriciolet, Adrián; Rosa, Guadalupe de la

doi:10.1080/19443994.2014.937762

Cited by 26 publications

(11 citation statements)

References 40 publications

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“…Recently, ANN models have widely been used for simulation, optimization, forecasting and classification [35]. ANNs are organized based on uncomplicated models of human brain, like learning, thinking and problem solving.…”

Section: Artificial Neural Network (Ann) Modelingmentioning

confidence: 99%

“…The mean square error (MSE) and the determination coefficient (R 2 ) measure the performance of the model according to the following equations [35]:…”

Section: Artificial Neural Network (Ann) Modelingmentioning

confidence: 99%

“…A many of complex engineering systems could be solved and modeled by using of ANN due to its nonlinearity, reliability, simplicity and robustness. ANN has an inclusive structure and can build a model from the historical data [33,34]; Moreover, it can be employed for modeling of the complex relationships between the sorbent and sorbates in multicomponent aqueous solutions [35].…”

Section: Introductionmentioning

confidence: 99%

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Simultaneous Removal of Basic Dyes from Binary Systems by Modified Orange Peel and Modeling the Process by an Intelligent Tool

Khalili¹,

Pirbazari²,

Saraei³

et al. 2021

Preprint

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This study presents the consecutive modification of orange peel (OP) by NaOH and sodium dodecyl sulfate (SDS) for simultaneous elimination of basic dyes from the binary system and modeling the adsorption process using an intelligent tool. The natural and modified biosorbents were characterized by variety of analyses such as: field emission scanning electron microscopy with energy dispersive X-ray, N2 physisorption and Fourier transform infrared spectroscopy techniques. The influence of various variables on dye removal like pH, the quantity of biosorbents, dyes concentration, contact time, and temperature in the binary system were investigated and optimized by an artificial neural network (ANN) model as an intelligent tool. The optimum quantity of the sorbent was found to be 0.30 g for orange peel (OP) and 0.25 g for NaOH-treated OP (NOP) and SDS-decorated NOP (SNOP) at pH = 7. The kinetics and thermodynamics investigations showed that the removal of dyes obeyed the pseudo-second-order kinetic model and were spontaneous and exothermic in nature. Moreover, in order to describe the mechanism of sorption process, desorption studies of dyes were carried out. The desorption percentages of methylene blue (MB) in water and HCl were found to be in the range of 1.93%–4.76% and 18.87%–28.76%, respectively; in addition, the desorption percentages of crystal violet (CV) in water and HCl were obtained to be in the range of 4.11%–7.41% and 32.84%–43.00%, respectively; which could be a recommendation ion exchange or electrostatic attachment of dyes onto biosorbents. The ANN predictions matched with the experimental data very well (0.95308 < R2 < 0.99191 and 0.98335 < R2 < 0.99773 for MB and CV, respectively) which indicated high accuracy of the ANN model. In addition, the relative importance of each parameter was calculated by Garson’s equation.

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Section: Artificial Neural Network (Ann) Modelingmentioning

confidence: 99%

“…The mean square error (MSE) and the determination coefficient (R 2 ) measure the performance of the model according to the following equations [35]:…”

Section: Artificial Neural Network (Ann) Modelingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Simultaneous Removal of Basic Dyes from Binary Systems by Modified Orange Peel and Modeling the Process by an Intelligent Tool

Khalili¹,

Pirbazari²,

Saraei³

et al. 2021

Preprint

View full text Add to dashboard Cite

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“…31 In the conventional one-at-a-time adsorption experiments, one parameter is changed while keeping other parameters constant leading to a waste of time and energy. 32 Therefore, the design of experimental methods are widely utilized to reduce the number of experiments and cost, and improve process performance. 33 Taguchi optimization based on mathematical and statistical techniques is a design method that includes fewer experimental studies to determine optimum parameters among the variables.…”

Section: Introductionmentioning

confidence: 99%

“…significantly affect the efficiency of the adsorption process . In the conventional one‐at‐a‐time adsorption experiments, one parameter is changed while keeping other parameters constant leading to a waste of time and energy . Therefore, the design of experimental methods are widely utilized to reduce the number of experiments and cost, and improve process performance .…”

Section: Introductionmentioning

confidence: 99%

A novel silica xerogel synthesized from volcanic tuff as an adsorbent for high‐efficient removal of methylene blue: parameter optimization using Taguchi experimental design

Kaya

Yılmaz

Deveci

2019

J of Chemical Tech & Biotech

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BACKGROUND: In this study, silica xerogel was synthesized using volcanic tuff instead of expensive silica precursors at ambient pressure drying. The mesoporous silica xerogel with unique structural and textural properties was evaluated as an adsorbent for methylene blue (MB) removal from aqueous solution. Taguchi method was applied to optimize controllable factors (contact time, initial MB concentration, silica xerogel dose, temperature and pH) for MB removal. RESULTS:The temperature was determined as the most significant factor with percentage contribution of 54.50%. MB removal efficiency was 96.18% at optimum conditions (contact time: 60 min, initial MB concentration: 20 ppm, silica xerogel dose: 0.0016 g mL −1 , temperature: 40 ∘ C, pH: 5). The experimental data fitted with the Langmuir isotherm, yielding a maximum adsorption capacity of 51.967 mg g −1 . MB desorption process was performed depending on eluent concentration and contact time. Maximum desorption efficiency was specified as 88% using 1 M hydrochloric acid for 4 h. The silica xerogel was easily recycled with retaining approximately 70% of adsorption efficiency after five cycles. CONCLUSION: In the light of the promising results, the silica xerogel can be used as an effective adsorbent in many environmental applications. MB desorption process and reusabilityThe simple regeneration and reusability of adsorbent are important factors in adsorption processes in terms of economy. Desorption efficiency of MB adsorbed silica xerogel depending on HCl concentration and contact time is shown in Fig. 5. Desorption

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Waste Biomass Suitable as Feedstock for Biofuels Production

Papadaki

2020

Process Systems Engineering for Biofuels Development

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Research and technology development in the field of residual biomass exploitation for the production of biofuels is advancing. Non-food waste could form an excellent feedstock for biofuel generation. Residual biomass of food or first generation biofuels industries forms an ideal feedstock for fuel production forming simultaneously an environmentally friendlier solution for their disposal. A number of challenges are associated with waste-biomass exploitation as collection, transportation and their management can dramatically affect the economics of the processes. The economics can however be improved if added value products are extracted prior to their treatment for biofuels. Furthermore, technological challenges related to feedstock quality and quantity variations have to be resolved. In this section, promising biomass for the characterization and the potential exploitation of which, substantial research is already in place is presented. The relevant biomass is, or has the potential to be abundant and its exploitation in the near future is realistic and possible.

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Analysis and modeling of multicomponent sorption of heavy metals on chicken feathers using Taguchi’s experimental designs and artificial neural networks

Cited by 26 publications

References 40 publications

Simultaneous Removal of Basic Dyes from Binary Systems by Modified Orange Peel and Modeling the Process by an Intelligent Tool

Simultaneous Removal of Basic Dyes from Binary Systems by Modified Orange Peel and Modeling the Process by an Intelligent Tool

A novel silica xerogel synthesized from volcanic tuff as an adsorbent for high‐efficient removal of methylene blue: parameter optimization using Taguchi experimental design

Waste Biomass Suitable as Feedstock for Biofuels Production

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