# Development of a Novel Bionanocomposite Adsorbent for Adsorptive Separation of Dyestuff from Water

## TL;DR

A new eco-friendly bionanocomposite material was developed to effectively remove malachite green dye from water.

## Contribution

The study introduces a novel seaweed-based bionanocomposite adsorbent for efficient dyestuff removal.

## Key findings

- The adsorbent effectively removed malachite green dye from water.
- Adsorption followed the Langmuir isotherm and pseudo-first-order kinetic models.
- Thermodynamic analysis revealed exothermic and physical adsorption behavior.

## Abstract

Since malachite green, a dye commonly used in the textile
industry,
fish farming (as a disinfectant), and trout facility wastewater, is
poisonous to all living things, its removal is crucial for the environment
and the health of all living organisms. In this study, an environmentally
friendly composite bioadsorbent material was synthesized using seaweed-based
biopolymer alginate and nanobioglass synthesized from natural materials.
The characterization of the developed adsorbent material was performed.
Malachite green, a disinfectant and dye causing serious environmental
pollution, was adsorbed with the adsorbent developed. The effects
of various parameters, including adsorbent amount, dye concentration,
time, temperature, and pH, on the adsorption removal rate were investigated.
To understand the adsorption behavior, adsorption isotherms, kinetic
models, and thermodynamic parameters were examined. It was found that
the data obtained through experiments were convenient with the Langmuir
isotherm model, the pseudo-first-order kinetic model. As a consequence
of the thermodynamic studies conducted with the help of the Van’t
Hoff equation, a negative enthalpy difference value showed that the
adsorption is exothermic. Negative entropy difference values indicated
that physical adsorption occurs through electrostatic interactions.
Additionally, the increase in the free energy difference with temperature
showed that the probability of adsorption occurring at high temperatures
is low. The statistical model analysis showed that the most effective
variable on the removal was the time, with the highest F-value.