Integration of Membrane Technology in Microalgal Photobioreactor for Biodiesel Production Along with Industrial Wastewater Remediation: A Green Approach

Banerjee, Srijoni; Gupta, Shubhangi; Dalal, Antara; Hazra, Tanishka; Shah, Maulin P.; Ghosh, Sourja

doi:10.1007/978-3-031-20822-5_14

Cited by 2 publications

(1 citation statement)

References 33 publications

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“…A great amount of nitrogen and phosphorus may be removed by AMBRs with microalgae via their innate ability to perform metabolic functions [24]. In addition, heavy metals and other harmful substances can be absorbed by microalgae through biosorption and bioaccumulation processes.…”

Section: Algae As a Promising Biological Resourcementioning

confidence: 99%

Algal-Based Hollow Fiber Membrane Bioreactors for Efficient Wastewater Treatment: A Comprehensive Review

Javed,

Mukhtar,

Zieniuk

et al. 2024

Fermentation

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The treatment of living organisms is a critical aspect of various environmental and industrial applications, ranging from wastewater treatment to aquaculture. In recent years, algal-based hollow fiber membrane bioreactors (AHFMBRs) have emerged as a promising technology for the sustainable and efficient treatment of living organisms. This review provides a comprehensive examination of AHFMBRs, exploring their integration with algae and hollow fiber membrane systems for diverse applications. It also examines the applications of AHFMBRs in various areas, such as nutrient removal, wastewater treatment, bioremediation, and removal of pharmaceuticals and personal care products. The paper discusses the advantages and challenges associated with AHFMBRs, highlights their performance assessment and optimization strategies, and investigates their environmental impacts and sustainability considerations. The study emphasizes the potential of AHFMBRs in achieving enhanced nutrient removal, bioremediation, and pharmaceutical removal while also addressing important considerations such as energy consumption, resource efficiency, and ecological implications. Additionally, it identifies key challenges and offers insights into future research directions. Through a systematic analysis of relevant studies, this review aims to contribute to the understanding and advancement of algal-based hollow fiber membrane bioreactors as a viable solution for the treatment of living organisms.

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Section: Algae As a Promising Biological Resourcementioning

confidence: 99%

Algal-Based Hollow Fiber Membrane Bioreactors for Efficient Wastewater Treatment: A Comprehensive Review

Javed,

Mukhtar,

Zieniuk

et al. 2024

Fermentation

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Machine learning for membrane design in energy production, gas separation, and water treatment: a review

Osman,

Nasr,

Farghali

et al. 2024

Environ Chem Lett

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Membrane filtration is a major process used in the energy, gas separation, and water treatment sectors, yet the efficiency of current membranes is limited. Here, we review the use of machine learning to improve membrane efficiency, with emphasis on reverse osmosis, nanofiltration, pervaporation, removal of pollutants, pathogens and nutrients, gas separation of carbon dioxide, oxygen and hydrogen, fuel cells, biodiesel, and biogas purification. We found that the use of machine learning brings substantial improvements in performance and efficiency, leading to specialized membranes with remarkable potential for various applications. This integration offers versatile solutions crucial for addressing global challenges in sustainable development and advancing environmental goals. Membrane gas separation techniques improve carbon capture and purification of industrial gases, aiding in the reduction of carbon dioxide emissions.

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Integration of Membrane Technology in Microalgal Photobioreactor for Biodiesel Production Along with Industrial Wastewater Remediation: A Green Approach

Cited by 2 publications

References 33 publications

Algal-Based Hollow Fiber Membrane Bioreactors for Efficient Wastewater Treatment: A Comprehensive Review

Algal-Based Hollow Fiber Membrane Bioreactors for Efficient Wastewater Treatment: A Comprehensive Review

Machine learning for membrane design in energy production, gas separation, and water treatment: a review

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