Current advances in phytoremediation and biochemical composition of Arthrospira ( Spirulina ) grown in aquaculture wastewater
Abstract
Inadequate wastewater management can cause negative impacts on the ecosystem, becoming an obstacle to aquaculture growth. New technologies have been developed to reduce the nutrient load in aquaculture wastewater involving microalgae as phytoremediation agents. In addition to reducing the nutrient load of water bodies, the microalgae-based phytoremediation can also generate high-added value biomass. Arthrospira (Spirulina) is a little-explored genus as a phytoremediation agent for aquaculture wastewater, representing about 30% of the biomass produced in the world that is known for its high concentration of proteins, carotenoids and phycocyanin. Using the aquaculture wastewater is an important strategy to reduce the production costs, obtain high-added value biomolecules and mitigate the effects of wastewater on the aquatic ecosystem. However, there are few reports of Arthrospira sp. as a remediation agent for aquaculture wastewater that assesses the biochemical composition. This manuscript aimed to review the cellular mechanisms of phytoremediation and the biochemical composition of Arthrospira currently described when grown in aquaculture wastewater.
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Chlorella sp. and Spirulina (Arthrospira) sp. can treat many types of wastewaters, including municipal, aquaculture, swine, olive oil milling, distillery, confectionary, brine tapioca, tofu, rubber, paper mill, dye wastewaters, agricultural run-offs, and groundwaters.
“Many examples of wastewater treatment by Chlorella sp. and Spirulina (Arthrospira) sp. have been published, as these can treat many types of wastewaters, including municipal, aquaculture, swine, olive oil milling, distillery, confectionary, brine tapioca, tofu, rubber, paper mill, dye wastewaters, agricultural run-offs, and groundwaters [203,209,210,211,212].”
From Emerging Applications of Chlorella sp. and Spirulina (Arthrospira) sp. (2023) · cites this paper as [209]
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Emerging Applications of Chlorella sp. and Spirulina (Arthrospira) sp.
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- Authors
- Cardoso, L. G., Lemos, P. V. F., de Souza, C. O., Oliveira, M. B. P. P., & Chinalia, F. A.
- Affiliations
- Universidade Federal de São Carlos (BR)
- Universidade Federal da Bahia (BR)
- Graduate Program in Food Science, Department of Bromatology Federal University of Bahia Salvador Brazil
- Universidade do Porto (PT)
- Laboratory of Algae Biotechnology, Department of Botany Federal University of São Carlos São Paulo Brazil
- Corresponding author
- Cardoso, Lucas Guimarães
- ORCID
- Venue
- Aquaculture Research
- Publisher
- Wiley
- Published
- 2022-07-10
- Volume
- 53
- Issue
- 14
- Pages
- 4931-4943
- ISSN
- 1355-557X (ISSN-L)
- 1365-2109
- OpenAlex
- W4285012927
- Cited by
- 19
- References
- 96
- Citations by year
- 2026: 6 · 2025: 4 · 2024: 2 · 2023: 7
- FWCI
- 0.59
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Aquaculture Research (publishedVersion)
- Topics
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Algal biology and biofuel production
- Life Sciences › Agricultural and Biological Sciences › Aquatic Science › Aquaculture Nutrition and Growth
- Physical Sciences › Environmental Science › Environmental Chemistry › Aquatic Ecosystems and Phytoplankton Dynamics
- Keywords
- phytoremediation, Arthrospira, Spirulina, aquaculture wastewater, microalgae, nutrient load reduction, biochemical composition, phycocyanin, carotenoids, protein content, wastewater treatment, cellular mechanisms
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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