Investigating simplified fixed bed design models for the adsorption of fluoride onto crushed burnt clay pot

Mehari, Beraki Bahre; Mayabi, Alfred O.; Kakoi, Beatrice

doi:10.14419/ijet.v3i4.3579

Cited by 4 publications

(7 citation statements)

References 14 publications

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“…The adsorption capacity per unit volume of bed, N 0 , and adsorption rate constant K a , remained constant throughout the column . A consistent increase in slopes from 0.724 to 0.902 for breakthroughs of 20–80% and consequent increase in corresponding dynamic adsorption capacity N o from 130761.8 to 162910.4ADMI U L −1 was observed.…”

Section: Resultsmentioning

confidence: 58%

“…It is generally accepted that the BDST model offers the simplest approach and rapid prediction of adsorber design and performance and gives a clear picture of the practical application of the adsorbent in a fixed‐bed column. This simplified design model is based on the assumption that forces like intraparticle diffusion and external mass transfer resistance are negligible and that the adsorbate is adsorbed on to the adsorbent surface directly .…”

Section: Resultsmentioning

confidence: 99%

“…It can be seen from the plot that the adsorbent exhaustion rate decreased with increasing EBRT. This was mainly due to sufficient contact between the biosorbent and the adsorbate .…”

Section: Resultsmentioning

confidence: 99%

“…The adsorbent exhaustion rate R a is usually expressed as mass of adsorbent reactivated per volume of liquid treated [Eq. ] :

R_{a} = \frac{normalM normala normals normals normalo normalf normala normald normals normalo normalr normalb normale normaln normalt (|, normalg)}{normalV normalo normall normalu normalm normale normalo normalf normalL normali normalq normalu normali normald normalt normalr normale normala normalt normale normald normala normalt normalb normalr normale normala normalk normalt normalh normalr normalo normalu normalg normalh true(normalL true)} = \frac{w}{V_{b}}

normalE normalB normalR normalT true(normalm normali normaln true) = \frac{V}{Q normalv}

…”

Section: Methodsmentioning

confidence: 99%

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Microcolumn studies of dye biosorption from textile effluent on to dead biomass of Rhizopusarrhizus NCIM 997

Saraf¹,

Vaidya²

2017

Env Prog and Sustain Energy

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Adsorption behavior of remazol reactive dyes from textile effluent was investigated using Rhizopus arrhizus as a biosorbent in up-flow fixed-bed micro column. The characteristics of mass transfer zone (MTZ), where adsorption in column occurs, were affected by bed depth and flow rate. The height of mass transfer zone (HMTZ), the rate of mass transfer zone (RMTZ), the effluent volume (V eff ) and the column capacity at exhaustion (q column ) were estimated for the removal of dyes by the biosorbent. Thomas and Yoon-Nelson models were applied to the experimental data to predict the "S" shaped breakthrough curves and to determine the biosorption capacity of the column. Both the models were found suitable for describing the whole dynamic behavior of the column with respect to flow rate and bed depth. Hutchins BDST model showed that the variation of the service time with the bed depth was highly linear, thus, indicating its validity when applied to the continuous microcolumn studies. The empty bed residence time model (EBRT) indicated that the biosorbent exhaustion rate decreased with increasing EBRT. The results of this study indicated the applicability of fixed-bed micro column for removing remazol reactive dyes from the textile effluent.

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Section: Resultsmentioning

confidence: 58%

Section: Resultsmentioning

confidence: 99%

“…It can be seen from the plot that the adsorbent exhaustion rate decreased with increasing EBRT. This was mainly due to sufficient contact between the biosorbent and the adsorbate .…”

Section: Resultsmentioning

confidence: 99%

“…The adsorbent exhaustion rate R a is usually expressed as mass of adsorbent reactivated per volume of liquid treated [Eq. ] :

R_{a} = \frac{normalM normala normals normals normalo normalf normala normald normals normalo normalr normalb normale normaln normalt (|, normalg)}{normalV normalo normall normalu normalm normale normalo normalf normalL normali normalq normalu normali normald normalt normalr normale normala normalt normale normald normala normalt normalb normalr normale normala normalk normalt normalh normalr normalo normalu normalg normalh true(normalL true)} = \frac{w}{V_{b}}

normalE normalB normalR normalT true(normalm normali normaln true) = \frac{V}{Q normalv}

…”

Section: Methodsmentioning

confidence: 99%

See 2 more Smart Citations

Microcolumn studies of dye biosorption from textile effluent on to dead biomass of Rhizopusarrhizus NCIM 997

Saraf¹,

Vaidya²

2017

Env Prog and Sustain Energy

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show abstract

“…The dynamic results allow verifying the applicability of the sorbent in fixed-bed columns, to compare with batch adsorption and to predict the behavior of such columns at a larger scale [38].…”

Section: Dynamic Resultsmentioning

confidence: 99%

Development and treatment procedure of arsenic-contaminated water using a new and green chitosan sorbent: kinetic, isotherm, thermodynamic and dynamic studies

Brion-Roby

Gagnon

Deschênes

et al. 2017

Pure and Applied Chemistry

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Arsenic is classified as one of the most toxic elements for humans by the World Health Organization (WHO). With the tightening drinking water regulation to 10 μg L −1 by the WHO, it is necessary to find efficient sorbent materials for arsenic. In this work, the removal of arsenic(V) from water is achieved with an insoluble chitosan sorbent in the protonated form obtained by a simple heating process. Kinetic studies show a very fast sorption (less than 10 min). The Langmuir isotherm model is best describing experimental data with a capacity of 42 mg g −1 at pH 8. The sorption process is based on anion exchange (chemisorption) determined from the Dubinin-Radushkevich model. The sorption efficiency of the chitosan sorbent is 97 % at low concentrations (e.g. 100 μg L −1). Thermodynamic analysis reveals that the sorption process is exothermic and is controlled by enthalpic factors. Breakthrough curves (BTC) were acquired in real-time by instrumental chromatography and was better described by the Thomas model. BTC from column sorption and desorption with a salt solution suggest that this sorbent is relevant for large scale applications. With this new renewable product, it will be possible to treat arsenic contaminated water at low cost and with little waste (concentration factor of 1500).

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Experimental and modeling of fixed-bed column study for phenolic compounds removal by graphite oxide

Mahmoud

Franke

Braeutigam

2022

Journal of Water Process Engineering

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Investigating simplified fixed bed design models for the adsorption of fluoride onto crushed burnt clay pot

Cited by 4 publications

References 14 publications

Microcolumn studies of dye biosorption from textile effluent on to dead biomass of Rhizopusarrhizus NCIM 997

Microcolumn studies of dye biosorption from textile effluent on to dead biomass of Rhizopusarrhizus NCIM 997

Development and treatment procedure of arsenic-contaminated water using a new and green chitosan sorbent: kinetic, isotherm, thermodynamic and dynamic studies

Experimental and modeling of fixed-bed column study for phenolic compounds removal by graphite oxide

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