Recent Literature on Biosorption as a Sustainable Environmental Technology to Remove Pollutants

Lemos, Eliana Soledad; Ingrassia, Estefanía Belén; Escudero, Leticia Belén

doi:10.1201/9781003312390-1

Cited by 1 publication

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Section: Introductionmentioning

confidence: 99%

“…Within the great variety of biosorbents, plant residues have allowed the development of a wide range of dye removal processes, which have the advantages of low cost, high abundance, and generating few by-products [25, 26]. Although it has been reported the use of grapevine plant components as biosorbents for some pollutants [27, 28], further contributions are desirable to study additional pollutant/plant biosorbent systems for the decontamination of real samples.…”

Section: Introductionmentioning

confidence: 99%

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Malachite Green Removal by Grape Stalks Biosorption from Natural Waters and Effluents

Lemos

Fiorentini

Bonilla-Petriciolet

et al. 2023

Adsorption Science & Technology

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The efficiency of the grape stalk as a biosorbent for the malachite green removal from natural waters and industrial effluents was investigated in this work. For the optimization of experimental variables, a central composite design was used, in which the effect of pH and biosorbent dose was evaluated on biosorption capacity and removal percentage. Optimal parameters of pH 5 and biosorbent dose of 0.80 g L-1 allowed a malachite green removal percentage of 87.7%. Data obtained from kinetic studies were fitted with the pseudo-second-order model. The maximum biosorption capacity was determined using the Langmuir equilibrium model, reaching a value of 214.2 mg g-1. The biosorption process was thermodynamically favorable and spontaneous at room temperature. The calculated value of biosorption enthalpy change indicated that the nature of the process was exothermic and physical. The biosorption process was applied in natural waters and industrial effluent samples, obtaining removal percentages up to 84.3%, which demonstrates the efficiency of grape stalks for the treatment of complex matrices.

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Section: Introductionmentioning

confidence: 99%