Process Safety and Environmental Protection 186 (2024) 1273–1285
1284
environmental management must also be considered to ensure the sustainability and eco-friendliness of this technology. Through these
studies, we can better understand and optimize the potential application
of REEs-mediated E. gracilis in efficient wastewater treatment.
4. Conclusion
The study confirms that a concentration of 12.50 mg/L Ce3
⁺ significantly boosts the growth of E. gracilis, concurrently improving the
removal efficiencies of key wastewater indicators such as TN, TP, NH4
+-
N, and COD. This underscores the potential of Ce3
⁺ as a highly effective
enhancer in wastewater treatment processes. Ce3
⁺ treatment markedly
alters the metabolite profile of E. gracilis, notably enhancing the synthesis of lipid metabolites essential for cell membrane integrity and
function. This adjustment in metabolic pathways is pivotal for the algae’s adaptation and stress response in wastewater environments. These
discoveries highlight how Ce3
⁺ regulates the metabolic pathways of
E. gracilis through impacts on photosynthesis, energy allocation, and
stress response. Overall, this study confirms the vital role of Ce3
⁺ in
enhancing the efficiency of wastewater treatment by E. gracilis,
bolstering its environmental adaptability, and facilitating its conversion
to biomass, such as paramylon and lipids. However, it only investigated
the impact of a Ce3
⁺ concentration of 12.50 mg/L on wastewater treatment. Therefore, this research still has limitations. Future studies are
needed to assess the effects of other low concentrations of Ce3
⁺-mediated
E. gracilis on wastewater treatment to determine whether 12.50 mg/L
Ce3
⁺ is indeed the optimal concentration for wastewater treatment.
Additionally, it will be necessary to examine whether the components of
wastewater influence the efficacy of Ce3
⁺-mediated algae cell treatment
in practical applications.
CRediT authorship contribution statement
Mingcan Wu: Writing – review & editing, Supervision, Funding
acquisition, Data curation. Feimiao Lu: Writing – original draft, Methodology, Formal analysis, Data curation. Guichun Wu: Methodology,
Data curation. Jingxin Wang: Supervision. Zhiyuan Liu: Supervision,
Funding acquisition. Guimei Wu: Supervision, Resources. Liangtao
Zhang: Supervision, Resources.
Declaration of Competing Interest
The authors declare that they have no known competing financial
interests or personal relationships that could have appeared to influence
the work reported in this paper.
Acknowledgements
This work was supported by the Hainan Provincial Natural Science
Foundation of China (Grant No. 420RC520), High-level Talent Project of
Hainan Natural Science Foundation (Grant No. 323RC426), Foundation
of Yunnan Province Science and Technology Department (Grant No.
202305AM070003), and Foundation of Yunnan Provincial Education
Science Research Department (Grant No. 2024J0827). We thank
Shanghai Biotree Biomedical Biotechnology Co., Ltd., for metabolomic
data acquisition and data analysis.
Appendix A. Supporting information
Supplementary data associated with this article can be found in the
online version at doi:10.1016/j.psep.2024.04.098.
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