Anaerobic pyrolysis of textile garment waste for the production of multifunctional biochar: fuel performance and Pb( ii ) and Cr( vi ) adsorption with machine learning prediction

Thu Huong Nguyen; Thu Huong Nguyen; Trung Kien Hoang; Huu-Tap Van; T.M. Nguyen; T.M. Nguyen

doi:10.1039/d6ra00384b

January 1, 2026RSC AdvancesOpen Access

Anaerobic pyrolysis of textile garment waste for the production of multifunctional biochar: fuel performance and Pb( ii ) and Cr( vi ) adsorption with machine learning prediction

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Key Points

The aim is to evaluate the effectiveness of anaerobic pyrolysis in producing biochar from textile waste and its potential for heavy metal adsorption.
Anaerobic pyrolysis of textile garment waste was conducted to produce biochar.
Machine learning models were used to predict the fuel performance and adsorption capacities.
Adsorption tests were performed for Pb(II) and Cr(VI) using the produced biochar.
Biochar produced from textile waste showed significant potential for adsorption of Pb(II) and Cr(VI).
Machine learning predictions accurately forecasted the biochar's performance as a fuel and adsorption medium.
The findings demonstrate the dual benefit of waste management and pollution control.

Implication

This analysis reveals enhanced biochar production and heavy metal adsorption through machine learning in textile waste management, indicating a sustainable solution.

Abstract

The rapid growth of the textile and garment industry generates large quantities of solid waste and heavy-metal-contaminated wastewater, creating coupled environmental challenges that require integrated solutions.

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Cite This Study

Nguyen et al. (2026) studied this question.

synapsesocial.com/papers/6997fa35ad1d9b11b345337b https://doi.org/10.1039/d6ra00384b

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Anaerobic pyrolysis of textile garment waste for the production of multifunctional biochar: fuel performance and Pb( ii ) and Cr( vi ) adsorption with machine learning prediction

Key Points

Implication

Abstract

Discussion

Cite This Study

Anaerobic pyrolysis of textile garment waste for the production of multifunctional biochar: fuel performance and Pb( ii ) and Cr( vi ) adsorption with machine learning prediction

Key Points

Implication

Abstract

Discussion

Cite This Study

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