Biomass-derived biochar in wastewater treatment- a circular economy approach

Olugbenga, Olunusi Samuel; Adeleye, Promise Goodness; Oladipupo, Segun; Adeleye, Aderemi Timothy; John, Kingsley Igenepo

doi:10.1016/j.wmb.2023.07.007

Cited by 31 publications

(3 citation statements)

References 110 publications

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“…Traditional wastewater treatment methods often suffer from energy consumption and substantial sludge generation, posing sustainability challenges. Conversely, biochar has shown promising results in the removal of contaminants such as organic pollutants, heavy metals, nutrients, and leachates from wastewater (Samuel Olugbenga et al., 2024).…”

Section: Sustainability and Economic Considerationsmentioning

confidence: 99%

Multifaceted application of modified biochar for water and wastewater treatment

Mohit,

Remya,

Priyadarshini

2024

Environmental Quality Mgmt

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Biochar, a carbon‐rich material produced through the pyrolysis of biomass, has been shown to have the potential to remove contaminants from water and wastewater. However, due to the weak adsorption capacity and narrow adsorption range of pure biochar, it is modified, either chemically or physically, in order to optimize its applications in water and wastewater treatment. This study summarizes the recent advancements in the application of modified biochar for water and wastewater treatment. Modification of biochar increases its surface area and porous structure, which makes it an effective adsorbent to immobilize a range of contaminants, such as heavy metals, dyes, and organic contaminants. It can also be used as a catalyst in the biodegradation of organic pollutants as it can provide a substrate for microbial growth and metabolism, enhancing pollutant degradation. This study also summarizes various biochar modifications such as gas, acid, alkali, metal, organic compounds, and oxidizing agents. Among the metal‐modified biochar, Iron‐modified biochar has shown the highest tetracycline (TC) removal efficiency (90.7%) and nitrate adsorption capacity (32.33 mg g−1). N‐doped biochars were found to be the most effective biochars for removing heavy metals such as Cd2+ or Cu2+ and aromatic compounds as they can increase the adsorption of raw biochar by up to 70%. Increasing the number of functional groups on the surface of the biochar by using organic compounds like acrylonitrile and chitosan showed a two to three‐fold increase in the adsorption capacity of pollutants such as Cd2+ and Hg2+. According to this review, modified biochar technology is a cost‐effective and environmentally friendly wastewater treatment method.

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Section: Sustainability and Economic Considerationsmentioning

confidence: 99%

Multifaceted application of modified biochar for water and wastewater treatment

Mohit,

Remya,

Priyadarshini

2024

Environmental Quality Mgmt

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“…The biochar industry can promote innovation leading to a greener, more sustainable future by exploiting the possibilities of these sophisticated analytical tools. 183,184…”

Section: Identifying Critical Biomass Parametersmentioning

confidence: 99%

Machine learning for the management of biochar yield and properties of biomass sources for sustainable energy

Nguyen,

Sharma,

Ağbulut

et al. 2024

Biofuels Bioprod Bioref

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Biochar is emerging as a potential solution for biomass conversion to meet the ever increasing demand for sustainable energy. Efficient management systems are needed in order to exploit fully the potential of biochar. Modern machine learning (ML) techniques, and in particular ensemble approaches and explainable AI methods, are valuable for forecasting the properties and efficiency of biochar properly. Machine‐learning‐based forecasts, optimization, and feature selection are critical for improving biomass management techniques. In this research, we explore the influences of these techniques on the accurate forecasting of biochar yield and properties for a range of biomass sources. We emphasize the importance of the interpretability of a model, as this improves human comprehension and trust in ML predictions. Sensitivity analysis is shown to be an effective technique for finding crucial biomass characteristics that influence the synthesis of biochar. Precision prognostics have far‐reaching ramifications, influencing industries such as biomass logistics, conversion technologies, and the successful use of biomass as renewable energy. These advances can make a substantial contribution to a greener future and can encourage the development of a circular biobased economy. This work emphasizes the importance of using sophisticated data‐driven methodologies such as ML in biochar synthesis, to usher in ecologically friendly energy solutions. These breakthroughs hold the key to a more sustainable and environmentally friendly future.

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“…The waste revalorization of the abundant biomass of the cocoa pod husk (CPH) would be its conversion to biochar via microwave-assisted pyrolysis (MAP) to improve the properties of the soils and water at a low cost, as already proposed by the slash-and-char principle. 21 , 32 Important research has focused on studying methods of modifying biochar to improve its adsorption capabilities and applications for treating contaminated water and soils. 33 , 34 However, the preparation methods of modified biochar can be complicated and lengthy and require the use of additional chemicals.…”

Section: Introductionmentioning

confidence: 99%

Adsorption dynamics of Cd2+(aq) on microwave-synthetized pristine biochar from cocoa pod husk: Green, experimental, and DFT approaches

Correa-Abril,

Stahl,

Cabrera

et al. 2024

iScience

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Biomass-derived biochar in wastewater treatment- a circular economy approach

Cited by 31 publications

References 110 publications

Multifaceted application of modified biochar for water and wastewater treatment

Multifaceted application of modified biochar for water and wastewater treatment

Machine learning for the management of biochar yield and properties of biomass sources for sustainable energy

Adsorption dynamics of Cd2+(aq) on microwave-synthetized pristine biochar from cocoa pod husk: Green, experimental, and DFT approaches

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