Silva-Galvez, A.L., López-Sánchez, A., Camargo-Valero, M. orcid.org/0000-0003-2962-1698 et al. (3 more authors) (2024) Strategies for livestock wastewater treatment and optimised nutrient recovery using microalgal-based technologies. Journal of Environmental Management, 354. 120258. ISSN 0301-4797
Abstract
Global sustainable development faces several challenges in addressing the needs of a growing population. Regarding food industries, the heightening pressure to meet these needs has resulted in increased waste generation. Thus, recognising these wastes as valuable resources is crucial to integrating sustainable models into current production systems. For instance, the current 24 billion tons of nutrient-rich livestock wastewater (LW) generated yearly could be recovered and valorised via biological uptake through microalgal biomass. Microalgae-based livestock wastewater treatment (MbLWT) has emerged as an effective technology for nutrient recovery, specifically targeting carbon, nitrogen, and phosphorus. However, the viability and efficacy of these systems rely on the characteristics of LW, including organic matter and ammonium concentration, content of suspended solids, and microbial load. Thus, this systematic literature review aims to provide guidance towards implementing an integral MbLWT system for nutrient control and recovery, discussing several pre-treatments used in literature to overcome the challenges regarding LW as a suitable media for microalgae cultivation.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2024 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/) |
Keywords: | Livestock wastewater, Microalgae culture optimisation, Nutrient uptake, Turbidity, Ammonia, Microbial load |
Dates: |
|
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Civil Engineering (Leeds) |
Funding Information: | Funder Grant number DESNZ (prev BEIS) Not Known |
Depositing User: | Symplectic Publications |
Date Deposited: | 27 Feb 2024 10:04 |
Last Modified: | 20 May 2024 12:45 |
Status: | Published |
Publisher: | Elsevier |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:208919 |