» Articles » PMID: 36828115

Rice Husk Valorization into Sustainable Ni@TiO/biochar Nanocomposite for Highly Selective Pb (II) Ions Removal from an Aqueous Media

Overview
Journal Chemosphere
Date 2023 Feb 24
PMID 36828115
Authors
Affiliations
Soon will be listed here.
Abstract

Herein, we successfully prepared sustainable nanocomposites from agriculture waste (rice husk)-derived biochar precursor, and followed by nickel-doped, base-treated titanium dioxide nanomaterials loading for efficient lead (Pb) removal from aqueous media. By varying the loading contents of active materials, the optimized sample (Ni@Na-TiO/BC) possessed an efficient Pb adsorption capability of 122.3 mg g under the under optimum adsorption parameters, which is attributable to its specific surface area (138.09 m g) and excess functional sites. Kinetic and Isothermal examination illustrated that Pb adsorption phenomena was well followed through pseudo 2nd order and Langmuir models. In addition, superior Pb ions adsorption selectivity was recorded by optimized sample in a multi-metallic system over other existing ion (such as Cd, Mg, Ca, Cu, and Zn). Desorption experiments has been performed by using desorbing agent that demonstrates the good regeneration ability of sample. Hence, these findings provide new insight for the biowaste management by converting them into innovative adsorbents for commercial scale environmental remediation.

Citing Articles

Cu-Functionalized, ZIF-8-Derived, Nitrogen-Doped Carbon Composites for Efficient Iodine Elimination in Solution.

Chen J, Gao C, Chen J, Liu F, Liu Z Nanomaterials (Basel). 2025; 15(2).

PMID: 39852720 PMC: 11767381. DOI: 10.3390/nano15020105.


An Electrochemical Sensor for Detection of Lead (II) Ions Using Biochar of Spent Coffee Grounds Modified by TiO Nanoparticles.

Liu Z, Xu Y, Kan X, Chen M, Dai J, Zhang Y Molecules. 2024; 29(23).

PMID: 39683862 PMC: 11643534. DOI: 10.3390/molecules29235704.


Exploring the efficacy of alga for cadmium and copper biosorption: an integrated experimental and computational study.

Bengourna N, Belguidoum K, Khalla D, Nacef M, Kouadri I, Benhamida A RSC Adv. 2024; 14(52):38721-38738.

PMID: 39659595 PMC: 11629872. DOI: 10.1039/d4ra07331b.