Photoperiod-Driven Optimization of Microbial Iron–Nitrogen Cycle for Improved Nitrogen Removal Efficiency in Constructed Wetlands

Different photoperiods can regulate the activity of microbial communities involved in nitrogen and iron metabolism, which in turn impacts the nitrogen removal efficiency of constructed wetlands (CWs). However, the underlying mechanisms of microbial iron–nitrogen cycling under varying photoperiods remain unresolved. Our study revealed that the 15-h/day treatment significantly enhanced the removal efficiency of COD (87.26%), TN (63.32%), and NH4+–N (33.68%). Additionally, Gibbs free energy calculations indicated that the efficiency of nitrogen removal in the Feammox processes was notably influenced by pH levels. Microbial community analysis showed that the 15-h/day treatment stimulated microbial activity related to denitrification and iron transport, fostering a stable microbial community with key genera enriched in nitrogen metabolism. Furthermore, optimized iron availability facilitates essential biochemical pathways, further enhancing nitrogen metabolism. This research underscores the pivotal importance of the photoperiod in regulating microbial interactions and nutrient cycling in CWs, providing insights into optimizing biological nitrogen removal processes.

Authors

Institutions

Publication Details

Journal
ACS ES&T Water
Published
2025-03-12
DOI
https://doi.org/10.1021/acsestwater.4c01211
Citations
4
Primary Topic
Constructed Wetlands for Wastewater Treatment
Type
article
Field-Weighted Citation Impact
3.99

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Photoperiod-Driven Optimization of Microbial Iron–Nitrogen Cycle for Improved Nitrogen Removal Efficiency in Constructed Wetlands

Yunan Wang, Guilan Duan, Mengran Guo, Lixin Li et al.
4 citations
ACS ES&T Water
Constructed Wetlands for Wastewater Treatment
3.99
article

Photoperiod-Driven Optimization of Microbial Iron–Nitrogen Cycle for Improved Nitrogen Removal Efficiency in Constructed Wetlands

Yunan Wang, Guilan Duan, Mengran Guo, Lixin Li, Lan Wei, Baiwen Jiang, Xinyue Zhao
article en
4 citations

Abstract

Different photoperiods can regulate the activity of microbial communities involved in nitrogen and iron metabolism, which in turn impacts the nitrogen removal efficiency of constructed wetlands (CWs). However, the underlying mechanisms of microbial iron–nitrogen cycling under varying photoperiods remain unresolved. Our study revealed that the 15-h/day treatment significantly enhanced the removal efficiency of COD (87.26%), TN (63.32%), and NH4+–N (33.68%). Additionally, Gibbs free energy calculations indicated that the efficiency of nitrogen removal in the Feammox processes was notably influenced by pH levels. Microbial community analysis showed that the 15-h/day treatment stimulated microbial activity related to denitrification and iron transport, fostering a stable microbial community with key genera enriched in nitrogen metabolism. Furthermore, optimized iron availability facilitates essential biochemical pathways, further enhancing nitrogen metabolism. This research underscores the pivotal importance of the photoperiod in regulating microbial interactions and nutrient cycling in CWs, providing insights into optimizing biological nitrogen removal processes.

ACS ES&T WaterVol. 5(4)
Heilongjiang University of Science and Technology (CN), Northeast Agricultural University (CN), Culture Resource (EG)
National Natural Science Foundation of China, Natural Science Foundation of Heilongjiang Province
Clean water and sanitation
Openalex Percentile: Top 8%
Constructed Wetlands for Wastewater Treatment
3.99
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.