Heavy metals adsorption by banana peels micro-powder: Equilibrium modeling by non-linear models

Giorgio Vilardi; Luca Di Palma; Nicola Verdone

doi:10.1016/j.cjche.2017.06.026

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Heavy metals adsorption by banana peels micro-powder: Equilibrium modeling by non-linear models

Separation Science and Engineering | Updated：2026-01-06

- Heavy metals adsorption by banana peels micro-powder: Equilibrium modeling by non-linear models
- Heavy metals adsorption by banana peels micro-powder: Equilibrium modeling by non-linear models
- 中国化学工程学报（英文版） 2018年26卷第3期页码：455-464
- Affiliations：
  
  Sapienza University of Rome, Department of Chemical Engineering Materials Environment, via Eudossiana 18, Rome,Italy,00184
- Author bio：
- Funds：
- DOI：10.1016/j.cjche.2017.06.026
  中图分类号：
- 纸质出版：2018
- Accepted：
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Giorgio Vilardi, Luca Di Palma, Nicola Verdone. Heavy metals adsorption by banana peels micro-powder: Equilibrium modeling by non-linear models[J]. 中国化学工程学报（英文版）, 2018,26(3):455-464.

Giorgio Vilardi, Luca Di Palma, Nicola Verdone. Heavy metals adsorption by banana peels micro-powder: Equilibrium modeling by non-linear models[J]. Chin.J.Chem.Eng., 2018, 26(3): 455-464.
Giorgio Vilardi, Luca Di Palma, Nicola Verdone. Heavy metals adsorption by banana peels micro-powder: Equilibrium modeling by non-linear models[J]. 中国化学工程学报（英文版）, 2018,26(3):455-464. DOI： 10.1016/j.cjche.2017.06.026.

Giorgio Vilardi, Luca Di Palma, Nicola Verdone. Heavy metals adsorption by banana peels micro-powder: Equilibrium modeling by non-linear models[J]. Chin.J.Chem.Eng., 2018, 26(3): 455-464. DOI： 10.1016/j.cjche.2017.06.026.

摘要

Abstract

In this study the copper and lead adsorption efficiency onto banana peels powder was investigated. The agroindustrial waste recovery represents one of the Circular Economy pillars. In the view of the synthesis of an environmentally friendly adsorbent material

the powder was used without any preliminary chemical or thermal activation

but only after simple washing

drying and grinding. The bio-adsorbent was characterized by the FTIR technique and tested in batch mode on synthetic aqueous solutions containing Pb and Cu in the range 10-90 mg·L

-1

. A selection of two (Langmuir

Freundlich) and three (Sips

Redlich-Peterson

Koble-Corrigan) parameter isotherm models was chosen to fit adsorption equilibrium data by non-linear regression procedure. The best fit isotherm model was selected relying on the error function with the lowest average percentage error (APE) value

among those characterized by the highest R

values. As expected

the three-parameter models are found to better represent both metals bio-adsorption

with APE and R

values always lower and higher

respectively

than the corresponding values obtained for the two-parameter models.

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