A comprehensive review on the chemical regeneration of biochar adsorbent for sustainable wastewater treatment

Alsawy, Tariq; Rashad, Emanne; El-Qelish, Mohamed; Mohammed, Ramy H.

doi:10.1038/s41545-022-00172-3

Cited by 106 publications

(24 citation statements)

References 102 publications

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“…However, more in situ experiments should be performed to test the biochar efficiency using real effluents and to examine the real effect of biochar on the environment prior to its large-scale application" (Enaime et al, 2020). And also Alsawy et al, 2022, in their article about the regeneration of biochar adsorbent for wastewater treatment, tell that "many works highlighted the effectiveness of using biochar in extracting and recovering valuable metals from wastewater. However, these studies were conducted at the lab-scale level".…”

Section: Extensively Applied Mbcmentioning

confidence: 99%

The Catcher in the Water: Magnetic Biochar for the Treatment of Wastewater

Sparavigna

2023

SSRN Journal

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Section: Extensively Applied Mbcmentioning

confidence: 99%

The Catcher in the Water: Magnetic Biochar for the Treatment of Wastewater

Sparavigna

2023

SSRN Journal

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“…The NPs produced by microbes or biogenic NPs effectively degrade and remove HMs, toxic dyes, pharmaceuticals, and other emerging contaminants released by industrial, agricultural, and municipal waste in the water bodies ( Table 1 ). The scope of use NPs in wastewater treatment is just not limited to the removal of chemical and HMs pollutants however, it is also promising for the early detection of the pathogen, toxicants and disinfection by-products (DBPs) by sensing technology [ 31 ]. So, it is thought that NT could offer affordable and accessible clean water solutions to the world’s most vulnerable populations.…”

Section: Nanotechnological Approaches For Wastewater Treatmentmentioning

confidence: 99%

Exploring Microbial-Based Green Nanobiotechnology for Wastewater Remediation: A Sustainable Strategy

Malik

Dhasmana

Preetam³

et al. 2022

Nanomaterials

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Water scarcity due to contamination of water resources with different inorganic and organic contaminants is one of the foremost global concerns. It is due to rapid industrialization, fast urbanization, and the low efficiency of traditional wastewater treatment strategies. Conventional water treatment strategies, including chemical precipitation, membrane filtration, coagulation, ion exchange, solvent extraction, adsorption, and photolysis, are based on adopting various nanomaterials (NMs) with a high surface area, including carbon NMs, polymers, metals-based, and metal oxides. However, significant bottlenecks are toxicity, cost, secondary contamination, size and space constraints, energy efficiency, prolonged time consumption, output efficiency, and scalability. On the contrary, green NMs fabricated using microorganisms emerge as cost-effective, eco-friendly, sustainable, safe, and efficient substitutes for these traditional strategies. This review summarizes the state-of-the-art microbial-assisted green NMs and strategies including microbial cells, magnetotactic bacteria (MTB), bio-augmentation and integrated bioreactors for removing an extensive range of water contaminants addressing the challenges associated with traditional strategies. Furthermore, a comparative analysis of the efficacies of microbe-assisted green NM-based water remediation strategy with the traditional practices in light of crucial factors like reusability, regeneration, removal efficiency, and adsorption capacity has been presented. The associated challenges, their alternate solutions, and the cutting-edge prospects of microbial-assisted green nanobiotechnology with the integration of advanced tools including internet-of-nano-things, cloud computing, and artificial intelligence have been discussed. This review opens a new window to assist future research dedicated to sustainable and green nanobiotechnology-based strategies for environmental remediation applications.

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“…Due to its large specific surface area, uniformly distributed pore size and rich functional groups, biochar can be applied as an adsorbent for the treatment of pollutants in wastewater (Luo et al 2022;Liu and Chen 2022;Isaeva et al 2021;Katiyar et al 2021). Moreover, thanks to its low cost, biochar is gradually becoming a popular adsorbent (Boraah et al 2022;Alsawy et al 2022;. Biochar could be applied to remove many kinds of pollutants, such as organic pollutants represented by antibiotics (Masrura et al 2022), pesticides (An et al 2021), dyes (Choudhary et al 2020;Ortiz-Monsalve et al 2020) and drugs (Jung et al 2015) and inorganic pollutants represented by arsenic (Cha et al 2021), cadmium (Tyagi 2022;Liu et al 2021b), chromium, lead (Din et al 2021;Lee et al 2019), copper and nickel (An et al 2019).…”

Section: Introductionmentioning

confidence: 99%

Synthesis optimization and adsorption modeling of biochar for pollutant removal via machine learning

Zhang

Chen

et al. 2023

Biochar

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Due to large specific surface area, abundant functional groups and low cost, biochar is widely used for pollutant removal. The adsorption performance of biochar is related to biochar synthesis and adsorption parameters. But the influence factor is numerous, the traditional experimental enumeration is powerless. In recent years, machine learning has been gradually employed for biochar, but there is no comprehensive review on the whole process regulation of biochar adsorbents, covering synthesis optimization and adsorption modeling. This review article systematically summarized the application of machine learning in biochar adsorbents from the perspective of all-round regulation for the first time, including the synthesis optimization and adsorption modeling of biochar adsorbents. Firstly, the overview of machine learning was introduced. Then, the latest advances of machine learning in biochar synthesis for pollutant removal were summarized, including prediction of biochar yield and physicochemical properties, optimal synthetic conditions and economic cost. And the application of machine learning in pollutant adsorption by biochar was reviewed, covering prediction of adsorption efficiency, optimization of experimental conditions and revelation of adsorption mechanism. General guidelines for the application of machine learning in whole-process optimization of biochar from synthesis to adsorption were presented. Finally, the existing problems and future perspectives of machine learning for biochar adsorbents were put forward. We hope that this review can promote the integration of machine learning and biochar, and thus light up the industrialization of biochar. Graphical Abstract

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A comprehensive review on the chemical regeneration of biochar adsorbent for sustainable wastewater treatment

Cited by 106 publications

References 102 publications

The Catcher in the Water: Magnetic Biochar for the Treatment of Wastewater

The Catcher in the Water: Magnetic Biochar for the Treatment of Wastewater

Exploring Microbial-Based Green Nanobiotechnology for Wastewater Remediation: A Sustainable Strategy

Synthesis optimization and adsorption modeling of biochar for pollutant removal via machine learning

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