Emerging Trends in Wastewater Treatment Technologies: The Current Perspective

Armah, Edward Kwaku; Chetty, Maggie; Adedeji, Jeremiah; Kukwa, Donald Tyoker; Mutsvene, Boldwin; Shabangu, Khaya Pearlman; Bakare, Babatunde Femi

doi:10.5772/intechopen.93898

Cited by 11 publications

(10 citation statements)

References 87 publications

(129 reference statements)

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“…The paper highlights the practical applicability of DCMFCs as a sustainable and renewable bioenergy solution, particularly in addressing energy challenges faced in regions like South Africa, as reported by Shabangu et al [44,45], by recommending the potential of DCMFC technology for national grid connections, which is further investigated computationally for potential DCMFC inverter modeling and potential applications. This paper generally offers valuable insights into promoting sustainability in energy production.…”

Section: Study Applicationmentioning

confidence: 92%

“…The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/en17112740/s1, Table S1: Continuity test for the DCMFC system; Table S2: Insulation Resistance test for the DCMFC system; Table S3: Polarity test for the DCMFC system; Table S4: Classification results industrial wastewater pollutants, utilised in the DCMFC unit, Shabangu et al [15,45,47,48]; Table S5: Fit summary for CCV yield; Table S6: Fit summary for Power Density; Table S7: Fit summary for Current Density; Table S8: Fit summary for COD Removal; Table S9: Fit summary for PO 3− 4 Removal; Table S10: Fit summary for Coulombic Efficiency (% CE); Table S11: Fit summary for Total Suspended Solids (TSS); Table S12: Fit summary for Total Organic Carbon (TOC); Table S13…”

Section: Supplementary Materialsmentioning

confidence: 99%

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Optimization and Modeling of a Dual-Chamber Microbial Fuel Cell (DCMFC) for Industrial Wastewater Treatment: A Box–Behnken Design Approach

Shabangu,

Chetty,

Bakare

2024

Energies

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Microbial fuel cells (MFCs) have garnered significant attention due to their capacity to generate electricity using renewable and carbon-neutral energy sources such as wastewater. Extensive experimental work and modeling techniques have been employed to dissect these processes and understand their respective impacts on electricity generation. The driving force is to enhance MFC performance for practical applications commercially. Among the various statistical modeling approaches, one particularly robust tool is the Design of Experiments (DoE). It serves to establish the relationships between different variables that influence MFC performance and allows for the optimization of the MFC configuration and operation for scaled-up performances in terms of bioelectricity generation. This study focused on optimizing microbial fuel cells (MFCs) for bioelectricity production using industrial wastewater treatment, employing the Box–Behnken design (BBD) methodology. Through an analysis of response surface models and ANOVA tests, it was found that a combined approach of reduced quadratic, reduced two-factor interaction, and linear models yielded sound results, particularly in voltage yield, COD removal, and current density. Second-order regression models predicted optimal conditions for various parameters, with surface area, temperature, and catholyte dosage identified as critical input variables for optimization. Under these conditions, conducted by the four-factor and three-level Box–Behnken design methodology in a double-chamber MFC unit considering eight output variables—CCV yield, % COD removal, current density, power density, % TSS removal, % CE, and % PO43−—the optimum values were 700 mV, 54.4%, 54.4 mA/m2, 73.7 mW/m2, 99%, 21.2%, and 100%, respectively. At optimum operating conditions, the results revealed a desirability of 76.6% out of a total of 92 iterations. The paper highlights the effectiveness of statistical ANOVA fit-statistics modeling and optimization in enhancing DCMFC performance, recommending its use as a sustainable bioenergy source. Furthermore, validation results supported the above optimization output response findings and confirmed the viability of biorefinery wastewater as an anolyte for scaling up DCMFC bioelectricity generation.

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Section: Study Applicationmentioning

confidence: 92%

Section: Supplementary Materialsmentioning

confidence: 99%

Optimization and Modeling of a Dual-Chamber Microbial Fuel Cell (DCMFC) for Industrial Wastewater Treatment: A Box–Behnken Design Approach

Shabangu,

Chetty,

Bakare

2024

Energies

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“…4 Undoubtedly, these limitations mandate for sustainable, innovative, efficacious, and low-cost technologies. 21 Of the technologies being researched, electrochemical, 22 biologically activated membranes, 23 and adsorption systems stand out. 5,12 Recent reports have demonstrated the efficacy of nanomaterials to extract dyes, and low-, medium-, and hightoxicity metals from wastewater via accessible and low-cost adsorption processes.…”

Section: Introduction: Wastewater a Mine Of Valuable Resources That C...mentioning

confidence: 99%

“…Ultimately, at least 80% of the wastewater produced worldwide is discharged into the environment poorly treated . Undoubtedly, these limitations mandate for sustainable, innovative, efficacious, and low-cost technologies …”

Section: Introduction: Wastewater a Mine Of Valuable Resources That C...mentioning

confidence: 99%

Lignin Smart Nanoparticles for Effective and Eco-Friendly Resource Recovery from Wastewater: Status, Challenges, and Opportunities

Andeme Ela,

Heiden

2024

ACS Sustainable Resour. Manage.

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The overexploitation of finite natural resources and anthropogenic pollution pose a threat to economic security and human health. One approach for tackling these challenges is the development of effective, accessible, low-cost, bioderived, and eco-friendly technologies for the recovery of resources from wastewater. Wastewater contains resources of appreciable market value, including metals, pesticides, inorganic nutrients, dyes, and per- and polyfluorinated substances (PFAS). Established technologies, such as low-pressure membranes, biological treatments, and oxidation, are ineffectual, while more intricate technologies such as customized granular activated carbon and anion exchange resins suffer predominantly from high fouling rates and operating costs, which eventually reduce the effectiveness of resource recovery; thus, these limitations motivate the development of experimental technologies. Green, biopolymeric, smart lignin nanoparticles are potential candidates growing in popularity for their effective recovery of resources from wastewater via adsorption, as lignin-based nanoparticles with metal adsorption capacities higher than 40 mg/g have been reported. In addition, employing lignin nanoparticles for this purpose will promote the circular economy of biorefineries and support the sustainable development of nations. Nonetheless, the valorization of lignin through nanotechnology is limited by the inhomogeneity of technical lignins and the resultant nanoparticles. For instance, the physical (e.g., surface area and electrostatic charge) and chemical (e.g., concentration of hydroxyl and carbonyl groups) properties of the lignin precursor will determine the affinity of the resultant nanoparticles to specific metal ions and their adsorption capacity. Hence, a profound understanding of the relationship between lignin derivation and nanoparticle synthetic methodology with resultant nanoparticle properties (e.g., hydrodynamic size) and performance (i.e., adsorption capacity) is needed to advance the adoption of lignin nanoparticles in sustainable industrial wastewater treatment. Alas, reviews of this nature are lacking. To fill this gap, this perspective reflects on the state-of-the art techniques for lignin nanoparticle synthesis and their application in the retrieval of various substances from aqueous environments, highlighting the properties–performance correlations, the specificity of the nanoparticles, and their comparative performance against established and laboratory-scale technologies. Ultimately, standardized strategies will be needed to control the functionality of lignin nanoparticles (e.g., hydrodynamic size and programmable morphology) to enhance the effective recovery of valuable resources from copious and diverse wastewater resources.

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“…The occurrence of the aforementioned compounds poses a potential threat of toxicity to the biotic and abiotic ecosystem [3]. Due to the environmental concerns instigated by water pollution as a result of rapid population growth and industrialisation which has a direct impact on wastewater composition which is now characterised by contaminants of emerging concern (PFCs, pharmaceuticals, MPs, heavy metal ions, etc.,) which have eluded conventional wastewater treatment processes [4,5]. This is attributed to the fact that conventional wastewater treatment processes are designed to treat wastewater streams characterised with organic pollutants such as chemical oxygen demand, total dissolved solids, biological nutrients, e.g., phosphates and nitrates, etc., and they have demonstrated to be ineffective to handle the current wastewater volumes [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Sorption of Perfluorinated and Pharmaceutical Compounds in Plastics: A Molecular Simulation Study

Khumalo

Lasich

Bakare

et al. 2022

Water

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The aim of the current study is to investigate the effect of temperature and degree of polymerisation on the thermodynamic interaction of perfluorinated compounds (PFCs) into plastics. The occurrence of contaminants of emerging concern such as pharmaceutical drugs, PFCs, microplastics (MPs), etc., in sources of drinking water have posed significant health risks to aquatic life and humans in recent years. These organic pollutants can interact with MPs and pose much higher health risks; consequently, MPs become a transport vector and thus alter their migration as well as occurrence in the environment. The purpose of this paper is to examine the adsorption mechanism of perfluorooctanoic acid (PFOA), perfluorooctane sulfonic acid (PFOS), and sulfamethazine (SMT)—relative to water—on polyethylene (PE) and polypropylene (PP) using an extended Flory–Huggins approach. The results suggest that in an aqueous environment, both PFOA and PFOS may be taken up preferentially by PP and PE, although less strongly by PE. The degree of polymerisation of PE and PP did not significantly influence the observed behaviour. In terms of sorption affinity, the observed affinity was PFOA>PFOS>SMT which was consistence for both PE and PP.

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Emerging Trends in Wastewater Treatment Technologies: The Current Perspective

Cited by 11 publications

References 87 publications

Optimization and Modeling of a Dual-Chamber Microbial Fuel Cell (DCMFC) for Industrial Wastewater Treatment: A Box–Behnken Design Approach

Optimization and Modeling of a Dual-Chamber Microbial Fuel Cell (DCMFC) for Industrial Wastewater Treatment: A Box–Behnken Design Approach

Lignin Smart Nanoparticles for Effective and Eco-Friendly Resource Recovery from Wastewater: Status, Challenges, and Opportunities

Sorption of Perfluorinated and Pharmaceutical Compounds in Plastics: A Molecular Simulation Study

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