Potential application of Allium Cepa seeds as a novel biosorbent for efficient biosorption of heavy metals ions from aqueous solution

Sheikh, Ziviqar; Amin, Muhammad; Khan, Noureen; Khan, Muhammad Wasim; Sami, Syed Kamran; Khan, Sher Bahadar; Hafeez, Irfan; Khan, Shahid Ali; Bakhsh, Esraa M.; Cheng, Chin Kui

doi:10.1016/j.chemosphere.2021.130545

Cited by 59 publications

(23 citation statements)

References 50 publications

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“…Other research found that the initial pH of a metal ion solution influences significantly the binding sites on biosorbent surfaces and metal ion behavior [62][63][64]. These remarks are also related to those reported by other authors for the biosorption of some heavy metals on algae [65][66][67].…”

Section: Initial Ph Of the Solution Containing Heavy Metal Ionssupporting

confidence: 77%

Modeling and Optimization of Heavy Metals Biosorption by Low-Cost Sorbents Using Response Surface Methodology

Ferţu

Bulgariu

2022

Processes

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This paper exploits, through modeling and optimization, the experimental laboratory data on the biosorption of heavy metal ions Pb(II), Cd(II), and Zn(II) from aqueous media using soybean and soybean waste biomasses. The biosorption modeling was performed using the Response Surface Methodology, followed by optimization based on numerical methods. The aim of the modeling was to establish the most probable mathematical relationship between the dependent variables (the biosorption efficiency of the biosorbents when adsorbing metal ions, R(%), and the biosorption capacity of sorbents, q(mg/g)) and the process parameters (pH; sorbent dose, DS (g/L); initial metal ion concentration in solution, c0 (mg/L); contact time, tc (min); temperature, T (°C)), validated by methodologies specific to the multiple regression analysis. Afterward, sets of solutions were obtained through optimization that correlate various values of the process parameters to maximize the objective function. These solutions also confirmed the performance of soybean waste biomass in the removal of heavy metal ions from polluted aqueous effluents. The results were validated experimentally.

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Section: Initial Ph Of the Solution Containing Heavy Metal Ionssupporting

confidence: 77%

Modeling and Optimization of Heavy Metals Biosorption by Low-Cost Sorbents Using Response Surface Methodology

Ferţu

Bulgariu

2022

Processes

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“…2 , chi-square (𝜒 2 ), root mean square error (RMSE) and corrected Akaike information criterion (AICc,) according to Eq. ( 5) to (8):…”

Section: ⁄ )) ⁄mentioning

confidence: 99%

“…RMSE = √ SS residual 𝑛 − 𝑝 (7) IC c = 1 + ln ( SS residual 𝑛 ) + 2(𝑝 + 1) 𝑛 − 𝑝 − 2 (8) where, n and p were the number of the data and model parameters, respectively.…”

Section: ⁄ )) ⁄mentioning

confidence: 99%

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Design and Synthesis of Magnetic Immobilized Pineapple Cellulose/EDTA for Removal of Copper(II) and Zinc(II) by Coordination

Sayahi

Asadabadi

2022

Preprint

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In recent decades, treatment of polluted water has shifted towards the enhancement of environmentally friendly adsorbents. In this regard, a biosorbent originated from pineapple peel cellulose was synthesized and used for the adsorption of Cu2+ and Zn2+. The magnetic (3-aminopropyl)triethoxysilane was designated to immobilize modified cellulose and ethylenediaminetetraacetic acid. The biosorbent was characterized by FE-SEM, TEM, EDX, XRD, FT-IR, BET, VSM and TGA techniques. The influence of pH, temperature and biosorbent dosage on the cation removal was investigated by Central Composite Design. The maximum uptake% was 93.18 and 96.30% for Cu2+ and Zn2+, respectively. Coordination and electrostatic attraction were proposed as the main reasons for the removal of heavy metal cations. The adsorption of Zn2+ was ultrafast and completed within 40 s and it took 420 s for totally removal of Cu2+. External surface biosorption, the intra-particle diffusion and the diffusion through the smaller pores and slits, in sequence, were the dominant steps in the adsorption of each cation. Modified pseudo-n-order and modified Langmuir-Freundlich were the best models to describe kinetics and equilibrium results. The maximum adsorption capacity of biosorbent for Zn2+ was higher than one for Cu2+ (153.9 versus 149.4 mg·g-1). The regenerating of biosorbent was successfully accomplished for five cycles using a solution of EDTA in the presence of ultrasonic waves.

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“…Development of an environmentally friendly adsorption process has extensively attracted the researchers' attention. Biosorption, a process in which the agricultural wastes, bacteria, algae and fungi are used as the biosorbents (Vanhoudt et al 2018;Salih et al 2020), has gotten one of the treatment methods for water laden with heavy metal ions (Sheikh et al 2021;Chun et al 2022). This technique is well-known for its flexibility, low initial cost, design simplicity and ease of operation (Hussain and Kadeppagari 2022).…”

Section: Introductionmentioning

confidence: 99%

Anchoring carboxylated pineapple peel cellulose and EDTA onto magnetic (3-aminopropyl)triethoxysilane to effective diminish copper(II) and zinc(II) from polluted water

Sayahi

Asadabadi

2022

Preprint

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In recent decades, remediation of polluted water has shifted towards the enhancement of environmentally friendly adsorbents with robust stability. In this regard, a biosorbent was designed and synthesized by anchoring carboxylated pineapple peel cellulose and ethylenediaminetetraacetic acid onto amino-silane modified Fe3O4 nanoparticles. A vast number of carboxyl and amino active groups in the structure of biosorbent led to the efficient adsorption of Cu2+ and Zn2+ from polluted water. The biosorbent was characterized by FE-SEM, TEM, EDX, XRD, FT-IR, BET, VSM and TGA techniques. The influence of pH, temperature and biosorbent dosage on the cation removal was investigated by Central Composite Design. The maximum uptake% was 93.18 and 96.30% for Cu2+ and Zn2+, respectively. Coordination and electrostatic attraction were proposed as the main reasons for the removal of heavy metal cations. Astonishingly, the adsorption of Zn2+ was ultrafast and completed within 40 s and it took 420 s for removal of Cu2+. External surface biosorption, the intra-particle diffusion and the diffusion through the smaller pores and slits, in sequence, were the dominant steps in the adsorption of each cation. Modified pseudo-n-order and modified Langmuir-Freundlich were the best models to describe kinetics and equilibrium results. The maximum adsorption capacity of biosorbent for Zn2+ was higher than one for Cu2+ (153.9 versus 149.4 mg·g-1). Besides, the regenerating of biosorbent was successfully accomplished for five cycles using a solution of EDTA in the presence of ultrasonic waves.

show abstract

Potential application of Allium Cepa seeds as a novel biosorbent for efficient biosorption of heavy metals ions from aqueous solution

Cited by 59 publications

References 50 publications

Modeling and Optimization of Heavy Metals Biosorption by Low-Cost Sorbents Using Response Surface Methodology

Modeling and Optimization of Heavy Metals Biosorption by Low-Cost Sorbents Using Response Surface Methodology

Design and Synthesis of Magnetic Immobilized Pineapple Cellulose/EDTA for Removal of Copper(II) and Zinc(II) by Coordination

Anchoring carboxylated pineapple peel cellulose and EDTA onto magnetic (3-aminopropyl)triethoxysilane to effective diminish copper(II) and zinc(II) from polluted water

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