Mechanistic studies of phytoremediative eradication of brilliant green dye from water by acid-treated Acacia concinna lignocellulosic waste

Abstract

A rapidly growing problem for life on earth is contamination of fresh water which is addressed in this article. By taking a glimpse on the causes of contaminations, persistent organic pollutants, especially synthetic dyes got prominent role. Here, out of commonly used techniques, adsorption using plant wastes was chosen for phytofiltration of such dyes. A natural adsorbent from plant source was selected and processed with acid, characterized with FTIR and SEM and then checked the efficacy on cationic dye brilliant green. Phytofiltration of dye was done to check the effectivity of both untreated (OA) and acid treated (OA-AC) form of Acacia concinna biowaste. Results were obtained, evaluated and presented here, giving maximum adsorption capacities (Q_m) of AC and OA-AC 95.24 and 909.09 mg.g⁻¹, respectively following Langmuir, pseudo second order kinetics and spontaneous exothermic nature, indicating their suitability to adopt on larger scale wastewater treatment effectively using green technology.

Graphical Abstract

NOVELTY STATEMENT

In this work, Acacia concinna both in untreated and acid treated form is used as an efficient adsorbent for the removal of Brilliant green dye from waste water, as not reported earlier, which proves its novelty. The values of adsorption capacities of both the adsorbent types are compared with different natural and synthetic adsorbents reported earlier, this comparison elaborate the efficacy of AC to be used as adsorbent and consider it as one of the efficient adsorbent materials naturally available.

Keywords:

• Acacia concinna
• brilliant green dye
• kinetics
• phytofiltration

Acknowledgement

The authors extend their appreciation to Taif University, Saudi Arabia, for supporting this work through project number (TU-DSPP-2024-232).

Disclosure statement

The authors declare that they have no conflicts of interest.

Data availability statement

All data related to this work is presented in the results section along with references.

Additional information

Funding

This research was funded by Taif University, Saudi Arabia, project number: TU-DSPP-2024-232.