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Development of Cost-Effective Process for Phyco-Remediation of Dairy Wastewater and Valorization of Algal Biomass for Production of Biofuel and Biochemical: A Sustainable Approach towards Bio-Refinery

Project description

Cutting-edge technique to effectively treat dairy wastewater

It is both difficult and costly to treat wastewater generated by the dairy industry. Dairy wastewater can also harm the environment because of the large quantities of organic and inorganic content. Existing treatment methods consume a lot of energy and do not adequately remove the nutrients. If used properly, however, wastewater could be a precious resource that provides green chemicals and biofuel. Using innovative biology tools, the Marie Skłodowska-Curie Actions (MSCA) AlgalBB project intends to propose a biorefinery concept. This will efficiently treat dairy wastewater through microalgae, together with biodiesel and bio-succinic acid production.

Objective

Currently, Dairy Wastewater (DW) is seen as a major global problem, difficult and expensive to treat and potentially very harmful to the environment as it contains high amounts of organic and inorganic content. The current treatment methods (physicochemical and conventional) are energy-intensive and don’t sufficiently remove the nutrients. But, with the high amount that is produced worldwide: 0.2‒10 L wastewater/ L of milk processed; this is potentially a valuable resource that, if utilized appropriately, can provide high-value green chemicals and biofuel. Therefore, a new cost-effective method for the treatment of DW along with the generation of valuable biomass needs to be developed.
In this context, AlgalBB proposes the concept of biorefinery for the substantive treatment of DW via microalgae, coupled with biodiesel and bio-succinic acid (SA) production. These objectives will be pursued through 1) The designing of a microalgae consortia that can remediate DW to achieve a zero-waste process and generate lipid/carbohydrate-rich algal biomass; 2) The green synthesis of magnetic nanocatalyst for developing a low-cost, efficient method for in-situ transesterification for wet algal biomass to produce biodiesel; 3) Development of multienzyme magnetic nanocatalyst for efficient enzymatic hydrolysis to recover fermentable sugars from algal biomass; 4) Immobilization of fermentative bacteria for fermentation of sugars into SA. The interdisciplinary AlgalBB will apply cutting edge biology tools to complete the aforesaid objectives. AlgalBB adopts a circular economy approach that directly addresses clean water, clean energy; actions established by the EU Horizon Work Programme and will support the competitiveness of European biorefineries. The acquisition of transferable skills through AlgalBB will increase my employability in industry and especially in academia, allowing me to establish myself as an independent researcher and reach a professor position within 5-10 years.

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Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) HORIZON-MSCA-2021-PF-01

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Coordinator

NORGES MILJO-OG BIOVITENSKAPLIGE UNIVERSITET
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 226 751,04
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

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