Algal biochar: A natural solution for the removal of Congo red dye from textile wastewater

Abdul Ahad Khan; Salman Raza Naqvi; Imtiaz Ali; Wasif Farooq; Muhammad Waqas Anjum; Hamad AlMohamadi; Su Shiung Lam; Meenakshi Verma; Hui Suan Ng; Rock Keey Liew

doi:10.1016/j.jtice.2023.105312

Algal biochar: A natural solution for the removal of Congo red dye from textile wastewater

Abdul Ahad Khan
, Salman Raza Naqvi^*
, Imtiaz Ali
, Wasif Farooq
, Muhammad Waqas Anjum
, Hamad AlMohamadi
, Su Shiung Lam
, Meenakshi Verma
, Hui Suan Ng
, Rock Keey Liew

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

36 Scopus citations

Abstract

The present study was aimed at synthesizing algae-derived biochar to examine its effectiveness and adsorption capacity to remove Congo red dye. The independent variables such as dye concentration, adsorbent dose, and adsorption time were optimized by using a central composite design (CCD). An adsorption experiment was conducted to evaluate equilibrium using a detailed experimental design and characterized through XRD, TGA, SEM, EDX, and FTIR analysis. This paper also focuses on evaluating non-linear adsorption isotherm and kinetics to describe the adsorption mechanism along with applying an Artificial neural network to validate the removal efficiency. The maximum Congo red removal efficiency (96.14 %) and maximum adsorption capacity of algal biochar (186.94 mg/g) were achieved with the optimized parameters of 1 mg/L of dye concentration, 0.1 g of adsorbent dose, and 240 min of contact time. Adsorption behavior was well described by Langmuir isotherm and Pseudo-nth order. A multilayer perceptron (MLP) MLP 2–5–1 structure best validates the response. Overall, the study sheds light that Algal-derived biochar is a potential material for the elimination of Congo red dye and contributes to achieving sustainable development goals.

Original language	English
Article number	105312
Journal	Journal of the Taiwan Institute of Chemical Engineers
Volume	166
DOIs	https://doi.org/10.1016/j.jtice.2023.105312
State	Published - Jan 2025

Bibliographical note

Publisher Copyright:
© 2023 The Author(s)

Keywords

Adsorption
Algae-derived biochar
Artificial neural network
Cango red dye
Central-composite design

ASJC Scopus subject areas

General Chemistry
General Chemical Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/j.jtice.2023.105312

Cite this

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title = "Algal biochar: A natural solution for the removal of Congo red dye from textile wastewater",

abstract = "The present study was aimed at synthesizing algae-derived biochar to examine its effectiveness and adsorption capacity to remove Congo red dye. The independent variables such as dye concentration, adsorbent dose, and adsorption time were optimized by using a central composite design (CCD). An adsorption experiment was conducted to evaluate equilibrium using a detailed experimental design and characterized through XRD, TGA, SEM, EDX, and FTIR analysis. This paper also focuses on evaluating non-linear adsorption isotherm and kinetics to describe the adsorption mechanism along with applying an Artificial neural network to validate the removal efficiency. The maximum Congo red removal efficiency (96.14 \%) and maximum adsorption capacity of algal biochar (186.94 mg/g) were achieved with the optimized parameters of 1 mg/L of dye concentration, 0.1 g of adsorbent dose, and 240 min of contact time. Adsorption behavior was well described by Langmuir isotherm and Pseudo-nth order. A multilayer perceptron (MLP) MLP 2–5–1 structure best validates the response. Overall, the study sheds light that Algal-derived biochar is a potential material for the elimination of Congo red dye and contributes to achieving sustainable development goals.",

keywords = "Adsorption, Algae-derived biochar, Artificial neural network, Cango red dye, Central-composite design",

author = "Khan, \{Abdul Ahad\} and Naqvi, \{Salman Raza\} and Imtiaz Ali and Wasif Farooq and Anjum, \{Muhammad Waqas\} and Hamad AlMohamadi and Lam, \{Su Shiung\} and Meenakshi Verma and Ng, \{Hui Suan\} and Liew, \{Rock Keey\}",

note = "Publisher Copyright: {\textcopyright} 2023 The Author(s)",

year = "2025",

month = jan,

doi = "10.1016/j.jtice.2023.105312",

language = "English",

volume = "166",

journal = "Journal of the Taiwan Institute of Chemical Engineers",

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T2 - A natural solution for the removal of Congo red dye from textile wastewater

AU - Khan, Abdul Ahad

AU - Naqvi, Salman Raza

AU - Ali, Imtiaz

AU - Farooq, Wasif

AU - Anjum, Muhammad Waqas

AU - AlMohamadi, Hamad

AU - Lam, Su Shiung

AU - Verma, Meenakshi

AU - Ng, Hui Suan

AU - Liew, Rock Keey

PY - 2025/1

Y1 - 2025/1

N2 - The present study was aimed at synthesizing algae-derived biochar to examine its effectiveness and adsorption capacity to remove Congo red dye. The independent variables such as dye concentration, adsorbent dose, and adsorption time were optimized by using a central composite design (CCD). An adsorption experiment was conducted to evaluate equilibrium using a detailed experimental design and characterized through XRD, TGA, SEM, EDX, and FTIR analysis. This paper also focuses on evaluating non-linear adsorption isotherm and kinetics to describe the adsorption mechanism along with applying an Artificial neural network to validate the removal efficiency. The maximum Congo red removal efficiency (96.14 %) and maximum adsorption capacity of algal biochar (186.94 mg/g) were achieved with the optimized parameters of 1 mg/L of dye concentration, 0.1 g of adsorbent dose, and 240 min of contact time. Adsorption behavior was well described by Langmuir isotherm and Pseudo-nth order. A multilayer perceptron (MLP) MLP 2–5–1 structure best validates the response. Overall, the study sheds light that Algal-derived biochar is a potential material for the elimination of Congo red dye and contributes to achieving sustainable development goals.

AB - The present study was aimed at synthesizing algae-derived biochar to examine its effectiveness and adsorption capacity to remove Congo red dye. The independent variables such as dye concentration, adsorbent dose, and adsorption time were optimized by using a central composite design (CCD). An adsorption experiment was conducted to evaluate equilibrium using a detailed experimental design and characterized through XRD, TGA, SEM, EDX, and FTIR analysis. This paper also focuses on evaluating non-linear adsorption isotherm and kinetics to describe the adsorption mechanism along with applying an Artificial neural network to validate the removal efficiency. The maximum Congo red removal efficiency (96.14 %) and maximum adsorption capacity of algal biochar (186.94 mg/g) were achieved with the optimized parameters of 1 mg/L of dye concentration, 0.1 g of adsorbent dose, and 240 min of contact time. Adsorption behavior was well described by Langmuir isotherm and Pseudo-nth order. A multilayer perceptron (MLP) MLP 2–5–1 structure best validates the response. Overall, the study sheds light that Algal-derived biochar is a potential material for the elimination of Congo red dye and contributes to achieving sustainable development goals.

KW - Adsorption

KW - Algae-derived biochar

KW - Artificial neural network

KW - Cango red dye

KW - Central-composite design

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DO - 10.1016/j.jtice.2023.105312

M3 - Article

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VL - 166

JO - Journal of the Taiwan Institute of Chemical Engineers

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M1 - 105312

ER -

Algal biochar: A natural solution for the removal of Congo red dye from textile wastewater

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

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