Bioresource Technology, Год журнала: 2022, Номер 369, С. 128402 - 128402
Опубликована: Ноя. 26, 2022
Язык: Английский
Bioresource Technology, Год журнала: 2022, Номер 369, С. 128402 - 128402
Опубликована: Ноя. 26, 2022
Язык: Английский
Bioresource Technology, Год журнала: 2022, Номер 363, С. 127970 - 127970
Опубликована: Сен. 17, 2022
Язык: Английский
Процитировано
75Environmental Research, Год журнала: 2022, Номер 214, С. 113857 - 113857
Опубликована: Июль 12, 2022
Язык: Английский
Процитировано
73Separation and Purification Technology, Год журнала: 2022, Номер 305, С. 122453 - 122453
Опубликована: Окт. 26, 2022
Язык: Английский
Процитировано
73Carbon, Год журнала: 2023, Номер 211, С. 118105 - 118105
Опубликована: Май 11, 2023
Язык: Английский
Процитировано
72Results in Engineering, Год журнала: 2023, Номер 17, С. 100960 - 100960
Опубликована: Фев. 11, 2023
The scarcity of clean water resources combined with other environmental and anthropogenic effects have urged the development advanced technology for wastewater treatment. Adsorption attracts great attention as a cost-effective technique remediation contaminated water. Despite broad variety adsorbents existing in literature, agriculture waste-derived biosorbents appear to hold greatest promise adsorption emerging contaminants. Herein, this review introduces recent developments field. role green chemistry principle their contribution towards Sustainable Development Goals (SDGs) are discussed. Different types modifications including activation modification magnetic, non-magnetic nanoparticles polymers systematically reviewed. Besides, application modified heavy metals, dyes, PAHs oils along respective mechanisms analyzed. Apart from this, potential practical is canvassed through introducing simultaneous pollutants, usage real industrial matrix reusability performance. Finally, recommendations future studies presented. This anticipated critically explore economical candidates pollutants.
Язык: Английский
Процитировано
68Journal of Water Process Engineering, Год журнала: 2024, Номер 58, С. 104746 - 104746
Опубликована: Янв. 19, 2024
Язык: Английский
Процитировано
30Biofuels Bioproducts and Biorefining, Год журнала: 2024, Номер 18(2), С. 567 - 593
Опубликована: Фев. 5, 2024
Abstract Biochar is emerging as a potential solution for biomass conversion to meet the ever increasing demand sustainable energy. Efficient management systems are needed in order exploit fully of biochar. Modern machine learning (ML) techniques, and particular ensemble approaches explainable AI methods, valuable forecasting properties efficiency biochar properly. Machine‐learning‐based forecasts, optimization, feature selection critical improving techniques. In this research, we explore influences these techniques on accurate yield range sources. We emphasize importance interpretability model, improves human comprehension trust ML predictions. Sensitivity analysis shown be an effective technique finding crucial characteristics that influence synthesis Precision prognostics have far‐reaching ramifications, influencing industries such logistics, technologies, successful use renewable These advances can make substantial contribution greener future encourage development circular biobased economy. This work emphasizes using sophisticated data‐driven methodologies synthesis, usher ecologically friendly energy solutions. breakthroughs hold key more environmentally future.
Язык: Английский
Процитировано
28Current Pollution Reports, Год журнала: 2024, Номер 10(1), С. 1 - 39
Опубликована: Фев. 19, 2024
Язык: Английский
Процитировано
26Desalination and Water Treatment, Год журнала: 2024, Номер 320, С. 100757 - 100757
Опубликована: Сен. 7, 2024
Язык: Английский
Процитировано
26The Science of The Total Environment, Год журнала: 2025, Номер 968, С. 178898 - 178898
Опубликована: Фев. 21, 2025
Язык: Английский
Процитировано
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